Octopi 2.0 is a Stanford-led, open-source backpack-sized automated microscope aimed at democratizing diagnostics. It costs under $2,000, scans about 1 million red blood cells per minute—roughly 100x faster than a human—and uses a novel DAPI-RNA fluorescence shift to distinguish malaria parasites from noise with high specificity. The hardware is modular and envisioned as an app store for diagnostics: you can retrain the AI to improve sensitivity and drop new disease profiles like sickle cell, bacterial vaginosis, and TB into the same platform. This could shrink diagnostic gaps in low-resource settings and speed up outbreak responses. 

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