<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Allisson</id>
	<title>IMAGING - User contributions [en]</title>
	<link rel="self" type="application/atom+xml" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Allisson"/>
	<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Special:Contributions/Allisson"/>
	<updated>2026-05-03T11:23:58Z</updated>
	<subtitle>User contributions</subtitle>
	<generator>MediaWiki 1.38.4</generator>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1648</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1648"/>
		<updated>2023-11-16T10:05:21Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
&lt;br /&gt;
For more in &#039;&#039;&#039;Windows 10 or 11&#039;&#039;&#039;: https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242#WindowsVersion=Windows_10&lt;br /&gt;
&lt;br /&gt;
and &#039;&#039;&#039;Android&#039;&#039;&#039;&#039;: https://support.google.com/android/answer/9075925?sjid=15627648818672156681-EU&lt;br /&gt;
&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1647</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1647"/>
		<updated>2023-11-16T10:04:33Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
&lt;br /&gt;
For more in &#039;&#039;&#039;Windows 10 or 11&#039;&#039;&#039;: https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242#WindowsVersion=Windows_10&lt;br /&gt;
and &#039;&#039;&#039;Android&#039;&#039;&#039;&#039;: https://support.google.com/android/answer/9075925?sjid=15627648818672156681-EU&lt;br /&gt;
&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1646</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1646"/>
		<updated>2023-11-16T10:02:55Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
&lt;br /&gt;
For more in &#039;&#039;&#039;Windows 10 or 11&#039;&#039;&#039;: https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242#WindowsVersion=Windows_10&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1645</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1645"/>
		<updated>2023-11-16T09:59:05Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
For more in Windows 10 or 11: https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242#WindowsVersion=Windows_10&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1644</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1644"/>
		<updated>2023-11-16T09:58:46Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
&lt;br /&gt;
For more in Windows 10 or 11: https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242#WindowsVersion=Windows_10&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1643</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1643"/>
		<updated>2023-11-16T08:46:33Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1642</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1642"/>
		<updated>2023-11-16T08:44:26Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* =Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1641</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1641"/>
		<updated>2023-11-16T08:40:59Z</updated>

		<summary type="html">&lt;p&gt;Allisson: /* Bluetooth pair (Computer - Mobile) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Bluetooth pair (Computer - Mobile)=&lt;br /&gt;
&lt;br /&gt;
1. Enable Bluetooth on Your Android Device:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Android device.&lt;br /&gt;
Tap on &amp;quot;Connected devices&amp;quot; or a similar option.&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
2. Enable Bluetooth on Your Windows PC:&lt;br /&gt;
&lt;br /&gt;
Open Settings on your Windows PC.&lt;br /&gt;
Go to &amp;quot;Devices&amp;quot; and then &amp;quot;Bluetooth &amp;amp; other devices.&amp;quot;&lt;br /&gt;
Turn on Bluetooth.&lt;br /&gt;
3. Make Your Android Device Discoverable:&lt;br /&gt;
&lt;br /&gt;
In the Bluetooth settings on your Android device, ensure it is set to be discoverable.&lt;br /&gt;
4. Pairing from Windows PC:&lt;br /&gt;
&lt;br /&gt;
On your Windows PC, in the Bluetooth settings, click on &amp;quot;Add Bluetooth or other device.&amp;quot;&lt;br /&gt;
Select &amp;quot;Bluetooth&amp;quot; from the options.&lt;br /&gt;
Your Android device should appear in the list; click on it.&lt;br /&gt;
5. Confirm Pairing on Android:&lt;br /&gt;
&lt;br /&gt;
Your Android device will likely prompt you to confirm the pairing. Accept the pairing request.&lt;br /&gt;
6. Complete Pairing on Windows PC:&lt;br /&gt;
&lt;br /&gt;
Once the pairing is confirmed on your Android device, Windows will finalize the pairing process.&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS as explained in [[MobileApp:Using_ARIS_Bluetooth_functionality|the corresponding page]]. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1587</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1587"/>
		<updated>2023-10-16T10:31:23Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Bluetooth pair (Computer - Mobile)==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1586</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1586"/>
		<updated>2023-10-16T10:30:49Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant permitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
==Bluetooth pair (Computer - Mobile)==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Take images==&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed. In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1585</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1585"/>
		<updated>2023-10-16T10:29:39Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Grant transitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
==Bluetooth conection==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed.In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
=== Automatic mode ===&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
=== Manual Mode ===&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
== Image Transfer ==&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1583</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1583"/>
		<updated>2023-10-14T21:10:16Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Screen transitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed.In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
The next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that is registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
; MANUAL MODE&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
; AUTOMATIZED MODE&lt;br /&gt;
&lt;br /&gt;
*  Select the Arduino device (Imaging-...) on the Connect screen on your smartphone. It could appear in the “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
* Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
* Perform the first focus of the microscope manually. When the focus is okay, click Start Capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites or is not detected within 100 images, the system stops reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1571</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1571"/>
		<updated>2023-10-14T16:37:49Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Screen transitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed.In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
Next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that as registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
From version 1.5 of the app onwards, there is the possibility of capturing in manual or automatic mode using the low-cost robotic blade movement system.&lt;br /&gt;
&lt;br /&gt;
; MANUAL MODE&lt;br /&gt;
To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
; AUTOMATIZED MODE&lt;br /&gt;
&lt;br /&gt;
1 - Select the arduino device (Imaging-...) on the Connect screen on your smartpohne. It could appear in “Paired Devices” or “ “Device Discovery” menus. &lt;br /&gt;
&lt;br /&gt;
2 - Click the “Start capturing” button to perform a diagnosis. &lt;br /&gt;
&lt;br /&gt;
3 - Perform the first focus of the microscope manually. When the focus is ok, click start capture and wait until the process finishes. The app has a small neural network, which when it detects 5 malaria parasites, stops the reading. At this point, you can click save.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified of the computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:App_peticion.jpg&amp;diff=1570</id>
		<title>File:App peticion.jpg</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:App_peticion.jpg&amp;diff=1570"/>
		<updated>2023-10-14T16:22:58Z</updated>

		<summary type="html">&lt;p&gt;Allisson: Allisson uploaded a new version of File:App peticion.jpg&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1569</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1569"/>
		<updated>2023-10-14T15:58:02Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Manual under construction, used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Screen transitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed.In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
Next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that as registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified of the computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1568</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1568"/>
		<updated>2023-10-14T15:56:30Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Manual under construction, used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Screen transitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|right|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed.In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|right|thumb|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
Next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that as registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|right|thumb|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified of the computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|right|thumb|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1567</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1567"/>
		<updated>2023-10-14T15:55:57Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
 *Manual under construction, used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
==Screen transitions==&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039;, &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;, and &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039;. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|right|thumb|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in ARIS. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running  ARIS, however, it is only accessible when you have previously downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
Remember that in order for the connection between the computer with ARIS and the mobile device to work, they must be close to each other and both must have the Bluetooth turned on. &lt;br /&gt;
If this is so, we will see in the app the identifier of the computer where ARIS is being executed.In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot; (this name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where ARIS is running).&lt;br /&gt;
The next step is to simply click on it. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
Next screen will show the worklist with the tests that can be performed. &lt;br /&gt;
When clicking on one of them, the app will request a verification character. This is the last letter in the identifier of the sample that as registered in ARIS, and that should have been written in the slide. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with ARIS is performed through the main screen and the &#039;&#039;&#039;SYNC ARIS&#039;&#039;&#039; button. After clicking it you will be directed again to the Bluetooth device choice, and on choosing the identified of the computer, the app will send all the test images available in the app to ARIS. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to ARIS screen app]]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1530</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1530"/>
		<updated>2023-10-10T13:48:43Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
; The kit will be pre-assembled with all the electronics. To install the microscope, simply check the items and follow the steps below.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
; Materials and pieces&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left; width:100%;&amp;quot;&lt;br /&gt;
|+ &lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
; Steps: &lt;br /&gt;
[[File:Microscope_install.png|400px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1529</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1529"/>
		<updated>2023-10-10T13:47:41Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
; The kit will be pre-assembled with all the electronics. To install the microscope, simply check the items and follow the steps below.&lt;br /&gt;
&lt;br /&gt;
; Materials and pieces&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left; width:100%;&amp;quot;&lt;br /&gt;
|+ &lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
; Steps: &lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1528</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1528"/>
		<updated>2023-10-10T13:42:21Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
; Materials and pieces&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left; width:100%;&amp;quot;&lt;br /&gt;
|+ &lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
; Steps: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left; width:100%;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;br /&gt;
| Imaging adapter for the smartphone device || [[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1527</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1527"/>
		<updated>2023-10-10T13:39:45Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
; Materials and pieces&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left; width:100%;&amp;quot;&lt;br /&gt;
|+ &lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
; Steps: &lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1526</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1526"/>
		<updated>2023-10-10T13:38:05Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left; width:100%;&amp;quot;&lt;br /&gt;
|+ Materials and pieces&lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
; Steps: &lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1525</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1525"/>
		<updated>2023-10-10T13:33:45Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left&amp;quot;&lt;br /&gt;
|+ Materials and pieces&lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
; Steps: &lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1524</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1524"/>
		<updated>2023-10-10T13:33:20Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:left&amp;quot;&lt;br /&gt;
|+ Materials and pieces&lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Steps: &lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1523</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1523"/>
		<updated>2023-10-10T13:22:26Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;margin:auto&amp;quot;&lt;br /&gt;
|+ Materials and pieces&lt;br /&gt;
|-&lt;br /&gt;
! Description !! Amount&lt;br /&gt;
|-&lt;br /&gt;
| Imaging adapter for the smartphone device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging X-Y movement device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging auto-focus device || 1&lt;br /&gt;
|-&lt;br /&gt;
| Conventional microscope || 1&lt;br /&gt;
|-&lt;br /&gt;
| Smartphone || 1&lt;br /&gt;
|-&lt;br /&gt;
| Computer (optional)|| 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 2&lt;br /&gt;
|-&lt;br /&gt;
| USB cable  || 1&lt;br /&gt;
|-&lt;br /&gt;
| Imaging Tweezers  || 1&lt;br /&gt;
|-&lt;br /&gt;
|Micro-USB cable type B [1m] || 1&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Steps: &lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1522</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1522"/>
		<updated>2023-10-10T13:13:24Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Assembly and installation procedure==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
   • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;br /&gt;
&lt;br /&gt;
Steps: &lt;br /&gt;
&lt;br /&gt;
1- Check that the microscope is in optimal condition to perform a diagnosis (light, movements, lenses, etc).&lt;br /&gt;
&lt;br /&gt;
2- Attach the Imaging auto-focus device (C) to the micro-metric wheel of the microscope. Adapt it (part 2) correctly with the exact diameter measure to avoid possible focus issues.&lt;br /&gt;
&lt;br /&gt;
3- Remove the microscope plate stage tweezers. &lt;br /&gt;
&lt;br /&gt;
4- Attach the Imaging X-Y movement device (B) to the microscope plate with Imaging tweezers. It is crucial not to interfere with light or plate movement. &lt;br /&gt;
&lt;br /&gt;
5- Attach the adapter for a smartphone (A) to any ocular lens. Fix it correctly and check if the smartphone device camera captures images correctly through microscope lenses. &lt;br /&gt;
&lt;br /&gt;
6- Connect the USB type B cable from the Imaging auto-focus device (C-3) to the USB port of the computer/energy supply (5V). Check that the green/red LED light of the Arduino is on. &lt;br /&gt;
&lt;br /&gt;
7- Insert the thick blood smear sample on the microscope plate and fix it with the Imaging X-Y movement device (B-1). Put a drop of immersion oil and mainly focus the sample with the 100x ocular lens. Immersion oil must be in direct contact with the sample.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1521</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1521"/>
		<updated>2023-10-10T13:10:34Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope_install.png|250px|center|Figure 4. (A) Adapter for the smartphone device. (B) Imaging X-Y movement device. (C) Imaging auto-focus device.]]&lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;br /&gt;
&lt;br /&gt;
=Assembly and installation procedure=&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_install.png&amp;diff=1520</id>
		<title>File:Microscope install.png</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_install.png&amp;diff=1520"/>
		<updated>2023-10-10T13:07:39Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1518</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1518"/>
		<updated>2023-10-09T09:38:55Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 1. (1) X-axis movement part and blade clamp. (2) Y-axis movement piece. (3) Base part and support for X and Y-axis motors.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1517</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1517"/>
		<updated>2023-10-09T09:25:23Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|250px|center|Figure 2. 3D Universal adapter for mobile devices in microscopes.]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 2.jpg|250px|center|Figure 3. (1, 2) Adaptation parts  to move the Z axis. (3) Case for the electronic boards (motor driver and Arduino).]]&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 3.jpg|250px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1516</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1516"/>
		<updated>2023-10-09T09:22:59Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:Microscope pieza 1.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
---figura 2---&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
--figura 3 ---&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1515</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1515"/>
		<updated>2023-10-09T09:21:36Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
---figura 2---&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
--figura 3 ---&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_pieza_3.jpg&amp;diff=1514</id>
		<title>File:Microscope pieza 3.jpg</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_pieza_3.jpg&amp;diff=1514"/>
		<updated>2023-10-09T09:19:26Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_pieza_2.jpg&amp;diff=1513</id>
		<title>File:Microscope pieza 2.jpg</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_pieza_2.jpg&amp;diff=1513"/>
		<updated>2023-10-09T09:19:07Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_pieza_1.jpg&amp;diff=1512</id>
		<title>File:Microscope pieza 1.jpg</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=File:Microscope_pieza_1.jpg&amp;diff=1512"/>
		<updated>2023-10-09T09:18:45Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1511</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1511"/>
		<updated>2023-10-09T09:08:22Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
---figura 1---&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
---figura 2---&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
--figura 3 ---&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, [[MobileApp:Main|Mobile App]] for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1510</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1510"/>
		<updated>2023-10-09T09:07:06Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
---figura 1---&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
---figura 2---&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
--figura 3 ---&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installation==&lt;br /&gt;
&lt;br /&gt;
Before the Imaging prototype installation, Imaging App for Android software must be installed Here we represent the main pieces of the Imaging prototype. These representations would be used as a reference for assembly and installation procedures. &lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1509</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1509"/>
		<updated>2023-10-09T09:02:52Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
---figura 1---&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
---figura 2---&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
--figura 3 ---&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Ready to use==&lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1508</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1508"/>
		<updated>2023-10-09T08:32:33Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
==Idea==&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel diagnosis system is mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), a smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
==3D Models==&lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software has been used in this project to build the designed pieces. The filament is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;br /&gt;
&lt;br /&gt;
In Figure 1,  the main parts of the slide movement that should be placed on the stage parts of the microscope are shown.  Removing the current stage clip is necessary to add the new 3D parts. As an additional complement, we need: 2 metal bars of 2.8mm x 86mm and a spring of 4.6mm x 15mm, as track materials to facilitate the movement of the sample by means of the motors.&lt;br /&gt;
&lt;br /&gt;
---figura 1---&lt;br /&gt;
&lt;br /&gt;
A universal adapter has been developed to attach a mobile device to allow  to capture digital images on a common optical microscope. As additional elements, 2 screws with nuts of 6mm x 40mm and 6mm x 60mm were needed to hold the adapter on the microscope (Fig 2). &lt;br /&gt;
&lt;br /&gt;
---figura 2---&lt;br /&gt;
&lt;br /&gt;
Figure 3 represents the electronic cage of the Imaging device, in which Arduino controllers and step-by-step motor controllers  are stored (3). Adapted pieces are built to automatically move the Z axis of the sample and auto-focus the preparation. Pieces (1 and 2 - Figure 3)  are attached to the micrometric microscope wheel, and by step-by-step motor movements and a Laplacian Variance algorithm, the sample is automatically focused. The smartphone camera is able to capture focused images by auto-focus algorithm. Captured images are subsequently analyzed by CNN algorithms for object detection. &lt;br /&gt;
&lt;br /&gt;
--figura 3 ---&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Ready to use==&lt;br /&gt;
&lt;br /&gt;
Materials and pieces:&lt;br /&gt;
    • 1 Imaging adapter for the smartphone device&lt;br /&gt;
    • 1 Imaging X-Y movement device&lt;br /&gt;
    • 1 Imaging auto-focus device&lt;br /&gt;
    • 1 Conventional microscope&lt;br /&gt;
    • 1 Smartphone&lt;br /&gt;
    • 1 Computer (optional)&lt;br /&gt;
    • 2 Imaging Tweezers &lt;br /&gt;
    • 1 USB cable&lt;br /&gt;
    • 1 Micro-USB cable type B [1m]&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1507</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1507"/>
		<updated>2023-10-09T08:26:13Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been  designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel  diagnosis system is  mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
---3D Models &lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was is used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software was has been used in this project to build the designed pieces. The filament was is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1506</id>
		<title>Microscope:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=Microscope:Main&amp;diff=1506"/>
		<updated>2023-10-09T08:24:57Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Microscope:Main]]&lt;br /&gt;
&lt;br /&gt;
iMAGING prototype is a novel device to detect automatically malaria parasites in thick blood smear samples by digital imaging techniques. It was designed mainly for malaria-endemic countries. The iMAGING prototype is based on the detection of malaria parasites by Artificial Intelligence techniques with Convolutional Neural Networks (CNNs) algorithms. A smartphone device is used to integrate all the mentioned technology in an Android application, control electronic parts/devices, and capture microscopic images by microscope lenses. &lt;br /&gt;
&lt;br /&gt;
The diagnostic tool has been  designed to be for Universal use and adaptable for most microscopes, is cheap and affordable, automatically moves the slide and auto-focus the sample, does not require an internet connection, and has robustly trained CNNs to detect malaria parasites in digital images. &lt;br /&gt;
&lt;br /&gt;
This novel  diagnosis system is  mainly based on 3D printed pieces, electronic parts (step-by-step motors, cables, Arduino controllers, etc), smartphone, an Android software application, computer software (GLI software, image recognition), and a clinical requirements protocol. &lt;br /&gt;
&lt;br /&gt;
The models are designed by Tinkercad 3D software to transform standard microscopes into automatic slide photo capture systems with auto-focus adjustment. The AutoDesk Tinkercad is a free 3D drawing and was is used to design the 3D adaptable models.&lt;br /&gt;
&lt;br /&gt;
Ender 3 PRO printer with CURA 5.1 slicing software was has been used in this project to build the designed pieces. The filament was is Polylactic Acid (PLA), an easy-to-use, low-cost, biodegradable, and recyclable material.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1333</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1333"/>
		<updated>2023-05-16T09:28:01Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
 *Manual under construction, used for internal testing only. &lt;br /&gt;
 *Since this is an internal test version, acceptance as an official tester is required.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running the ARIS system, however, it is only accessible when you have already downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to Aris screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1332</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1332"/>
		<updated>2023-05-16T09:27:21Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
 Manual under construction, used for internal testing only. &lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running the ARIS system, however, it is only accessible when you have already downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to Aris screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:Main&amp;diff=1331</id>
		<title>MobileApp:Main</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:Main&amp;diff=1331"/>
		<updated>2023-05-16T09:25:06Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:Main]]&lt;br /&gt;
&lt;br /&gt;
It has been developed to integrate all motion and diagnostics technology into a single device. The software has been developed with [https://developer.android.com/studio Android Studio]  (the official development platform for Android applications). An Imaging application software for smartphone devices has been created, in which Bluetooth connections and image capturing were integrated. An intuitive menu was generated to easily perform an automated diagnosis via the application software. The smartphone device would be connected via Bluetooth to the Arduino controller and the computer device. The mentioned connections confer the system the possibility to automatically move the slide microscope and send the captured images to the computer for further digital image analysis and diagnosis. The android software acts as a key element in the imaging system, as it controls the microscopic automation movements through the connection with the Arduino controller.&lt;br /&gt;
&lt;br /&gt;
==Installation and Upgrades==&lt;br /&gt;
&lt;br /&gt;
The [[MobileApp:Installation and Upgrades|Installation and Upgrades]] page contains all the details and step by step instructions to do it. &lt;br /&gt;
&lt;br /&gt;
==User Guide==&lt;br /&gt;
&lt;br /&gt;
The [[MobileApp:User Guide|User Guide]] page contains all the information necessary for final users. It explains all functionalities provided by the application.&lt;br /&gt;
&lt;br /&gt;
==Privacy Policy==&lt;br /&gt;
&lt;br /&gt;
The [[MobileApp:Privacy Policy|Privacy Policy]] page contains all the information necessary for final users.&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1330</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1330"/>
		<updated>2023-05-16T09:24:29Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices.  The &#039;&#039;&#039;SAVED WORKLIST&#039;&#039;&#039;  button is an option without a direct connection to the computer running the ARIS system, however, it is only accessible when you have already downloaded the worklist. &lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to Aris screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1329</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1329"/>
		<updated>2023-05-16T09:22:21Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices. &lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to Aris screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1328</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1328"/>
		<updated>2023-05-16T09:20:54Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to Aris screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1327</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1327"/>
		<updated>2023-05-16T09:19:22Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Main screen app]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|center|Bluetooth screen app]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|500px|center|Petition and Capture screen app]]&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the &#039;&#039;&#039;MANUAL MODE&#039;&#039;&#039; button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|500px|center|Main and Send to Aris screen app]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1326</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1326"/>
		<updated>2023-05-16T09:16:40Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|200px|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|thumb|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|400px|thumb|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the manual mode button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|400px|thumb|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
	<entry>
		<id>http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1325</id>
		<title>MobileApp:User Guide</title>
		<link rel="alternate" type="text/html" href="http://dl-prod.essi.upc.edu/IMAGINGwiki/index.php?title=MobileApp:User_Guide&amp;diff=1325"/>
		<updated>2023-05-16T09:16:08Z</updated>

		<summary type="html">&lt;p&gt;Allisson: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:MobileApp:User Guide]]&lt;br /&gt;
&lt;br /&gt;
===User Manual===&lt;br /&gt;
&lt;br /&gt;
On the first use of the application, it will require permissions for location, camera, Bluetooth, and internal storage. For the correct use of the APP, it is necessary to accept all of them. It is worth remembering that the application does not save sensitive data. See the [[MobileApp:Privacy Policy|Privacy Policy]].&lt;br /&gt;
&lt;br /&gt;
On the application&#039;s main screen, we have 3 buttons: SYNC ARIS, SAVED WORKLIST, and NEW WORKLIST. As the Figure below shows. &lt;br /&gt;
&lt;br /&gt;
[[File:App_main.jpg|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
First, you need to download the worklist that is available in the ARIS system. To do this, click on the &#039;&#039;&#039;NEW WORKLIST&#039;&#039;&#039; button. &lt;br /&gt;
From there we will have a screen to choose the Bluetooth devices. &lt;br /&gt;
&lt;br /&gt;
[[File:App bluetooth.jpg|200px|thumb|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In order for the connection between the computer with the ARIS system and the mobile device to exist, they must be close to each other and both must have the Bluetooth turned on and previously [https://support.microsoft.com/en-us/windows/pair-a-bluetooth-device-in-windows-2be7b51f-6ae9-b757-a3b9-95ee40c3e242 paired]&lt;br /&gt;
. For this, we must click on the device where the ARIS system is being executed and enabled. &lt;br /&gt;
&lt;br /&gt;
The next step is to select the device where the ARIS system is, by clicking on it, In the case of the example picture above we should click  &amp;quot;fedora-allisson-dantas&amp;quot;. This name will change according to your computer&#039;s settings, to change this name you must go into the Bluetooth settings of the computer where the ARIS system is running.&lt;br /&gt;
&lt;br /&gt;
[[File:App peticion.jpg|400px|thumb|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
In the next screen will be the choice of the petition you want to perform. When you click on the petition, the app will ask for a verification code. This is the last letter present in the sample that you registered in the ARIS system. &lt;br /&gt;
&lt;br /&gt;
For this internal test version, it is only possible to do tests with the manual mode of the app, i.e. without the connection and communication with the low-cost robotic device. To do this, simply click on the manual mode button and go to the image capture screen. &lt;br /&gt;
In the image capture screen, you must click on the center button to capture each image. When you are satisfied, click on the save button. After this step, the app returns to the start screen. &lt;br /&gt;
&lt;br /&gt;
[[File:App_send.jpg|400px|thumb|center|Caption]]&lt;br /&gt;
&lt;br /&gt;
The synchronization with the ARIS system is done through the main screen and the SYNC ARIS button. After clicking it you will be directed again to the Bluetooth device choice, after clicking it the app will send all the worklists available in the app to the ARIS system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===ARIS Bluetooth states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    Waiting [label=&amp;quot;Waiting&amp;quot;];&lt;br /&gt;
    TransferingWorklist [label=&amp;quot;Transfering Worklist&amp;quot;];&lt;br /&gt;
    ReceivingImages [label=&amp;quot;Receiving Images&amp;quot;];&lt;br /&gt;
    ExecutingModel [label=&amp;quot;Executing Model&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; Waiting [label=&amp;quot;Enable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; TransferingWorklist  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    TransferingWorklist -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; ReceivingImages  [label=&amp;quot;Mobile request&amp;quot;];&lt;br /&gt;
    ReceivingImages -&amp;gt; Waiting; //  [constraint=false];&lt;br /&gt;
    ReceivingImages -&amp;gt; ExecutingModel  [label=&amp;quot;Last image of a test&amp;quot;];&lt;br /&gt;
    ExecutingModel -&amp;gt; ReceivingImages; //  [constraint=false];&lt;br /&gt;
    Waiting -&amp;gt; End [label=&amp;quot;Disable Bluetooth&amp;quot;]; // [constraint=false];&lt;br /&gt;
&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Mobile app states===&lt;br /&gt;
&amp;lt;!--div style=&amp;quot;float:right; margin: 0px 0px 0px 0px&amp;quot;--&amp;gt;&lt;br /&gt;
&amp;lt;graphviz border=&#039;frame&#039; format=&#039;svg&#039; caption=&#039;ARIS Bluetooth states&#039;&amp;gt;&lt;br /&gt;
digraph StatesDiagram {&lt;br /&gt;
  node [shape=rectangle style=rounded fontsize=&amp;quot;9pt&amp;quot;];&lt;br /&gt;
  edge [fontsize=&amp;quot;7pt&amp;quot;];&lt;br /&gt;
  //----- Main graph&lt;br /&gt;
    // Nodes&lt;br /&gt;
    Begin [label=&amp;quot;&amp;quot; shape=&amp;quot;circle&amp;quot; style=filled fillcolor=black fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    EWL_EIR [label=&amp;quot;Empty Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    EWL_FIR [label=&amp;quot;Empty Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    FWL_EIR [label=&amp;quot;Filled Worklist\n Empty Image Repository&amp;quot;];&lt;br /&gt;
    FWL_FIR [label=&amp;quot;Filled Worklist\n Filled Image Repository&amp;quot;];&lt;br /&gt;
    Scanning [label=&amp;quot;Scanning&amp;quot;];&lt;br /&gt;
    End [label=&amp;quot;&amp;quot; shape=&amp;quot;doublecircle&amp;quot; style=filled fillcolor=&amp;quot;black&amp;quot; fixedsize=true width=0.2 height=0.2];&lt;br /&gt;
    // Edges&lt;br /&gt;
    Begin -&amp;gt; EWL_EIR; // [constraint=false];&lt;br /&gt;
    EWL_EIR -&amp;gt; End;&lt;br /&gt;
    EWL_FIR -&amp;gt; End;&lt;br /&gt;
    FWL_EIR -&amp;gt; End;&lt;br /&gt;
    FWL_FIR -&amp;gt; End;&lt;br /&gt;
    EWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    EWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_EIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Read Worklist&amp;quot;];&lt;br /&gt;
    FWL_EIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    FWL_FIR -&amp;gt; Scanning [label=&amp;quot;Scan&amp;quot;];&lt;br /&gt;
    Scanning -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Pictures&amp;quot;]&lt;br /&gt;
    Scanning -&amp;gt; FWL_FIR [label=&amp;quot;Take Pictures&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; EWL_FIR [label=&amp;quot;Take Last Picture&amp;quot;]&lt;br /&gt;
    FWL_EIR -&amp;gt; FWL_FIR [label=&amp;quot;Take Picture&amp;quot;]&lt;br /&gt;
    EWL_FIR -&amp;gt; EWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    FWL_FIR -&amp;gt; FWL_EIR [label=&amp;quot;Upload Images&amp;quot;]&lt;br /&gt;
    //{ rank=same; Begin Registered Processing WithResults Validated}&lt;br /&gt;
    //{ rank=same; Cancelled End}&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/graphviz&amp;gt;&lt;br /&gt;
&amp;lt;!--/div--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Allisson</name></author>
	</entry>
</feed>