Automated image analysis diagnostic system

The project aims to develop a low-cost diagnostic kit - around 300 euros - in order to detect by image analysis on a biological sample some diseases of particular incidence in poor countries (tuberculosis, malaria, etc.). The system includes a Raspberry Pi nanocomputer where the image analysis will be implemented, a robust mechanical system made with a 3D printer and a suitable low-cost staining method.

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Adapted from Prakash Lab
Octopi: Open configurable high-throughput imaging platform for infectious disease diagnosis in the field
Hongquan Li, Hazel Soto-Montoya, Maxime Voisin, Lucas Fuentes Valenzuela, Manu Prakash
BioRxiv

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