AI-powered detection of malaria parasites
Other potential diseases
Sickle cell disease
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Mycobacterium tuberculosis
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Bacterial vaginosis
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Octopi framework
Augmenting microscopy
Fully automated
Automated slide scanning and disease detection
AI-powered
Machine learning based cell segmentation and disease identification
Multi-disease diagnosis
Capability of detecting different diseases using the same system
High-throughput
Throughput in the order of 1 million cells per minute for blood based diseases
Scalable
Scalable system for various deployment scenarios
Adaptable
Glass slide interface with readily available consumables; compatible with current medical ecosystems
Low-cost
~$0.2/test; Current device cost $5,000 - $8,000; Expected to reduce with scale
Modular and configurable
Configurations include bright-field, fluorescence and differential phase contrast imaging, as well as Raman microscopy
