Microscope:Main: Difference between revisions
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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. | |||
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. | |||
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. | |||
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. | 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. | ||
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. | 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. | ||
Revision as of 10:24, 9 October 2023
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.
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.
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.
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.
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.