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Para la mejora de la Salud a través de un diagnóstico rápido, confiable y económico (iH-rred)
La Global Laboratory Initiative (GLI) es un programa lanzado por la Fundación Probitas Foundation 2010 con la intención de reforzar las capacidades de diagnóstico clínico en laboratorios de las regiones más vulnerables del mundo. Como parte de esta gran iniciativa, Probitas promovió una iniciativa para crear una plataforma de automatización del diagnóstico de Malaria y Enfermedades Tropicales Desatendidas (NTDs, por sus siglas en Inglés). Esta página contiene información describiendo las diferentes tecnologías involucradas en dicho proyecto.
Analytical requests information system (ARIS)
ARIS is a laboratory software system for managing and analyzing data related to patients, requests, diagnostics, and analytical tests. It offers basic functionalities and a simple interface that can be flexibly configured to support the main tasks of a small laboratory.
Autofocus microscope
Autofocus microscope is a set of hardware pieces connected to an Arduino engine that automate the image capture from samples. A mobile phone controls the movement of the plaque, and eventually get the images of the sample.
Mobile App
The Mobile App is an open source software application to control the Arduino engines that move the plaque and focus the ocular of the microscope, as well as automatically take pictures of the sample. Eventually, the images taken with the app can be downloaded to the desktop application ARIS.
Annotation App
The Annotation app is a software tool facilitating the annotation of images to create training datasets. Given an image of a sample, it allows to frame an object and indicate whether it is leucocyte, parasite, etc. Eventually, once we have enough tagged images, these are used to train a Neural Network that can automate the process with high precision.
Annotated images Data Lake
The Data Lake is a repository of images with their corresponding annotations. This include the management software, as well as the necessary tools to extract some basic statistics and easily download subsets of images that can be used as a training set for Machine Learning.