The idea of this project is to make an on site diagnostic system. Diseases that change the morphology of blood cells can be diagnosed through imaging cells and comparing them to the healthy ones.
The project uses an optical imaging system optimised to image red blood cells. Subsequent analysis utilises machine learning and artificial intelligence tools to differential between healthy and diseased cells.
We hope that such a system will help in timely diagnostics and provision of fast treatment to the patients of malaria and other diseases in the remote areas of the developing world.
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