DUKE INVENTOR: Roark Horstmeyer
Basic blood tests require significant manual effort and are ubiquitous bottlenecks in healthcare systems. SafineAI seeks to develop a new “intelligent” computational microscope that, combined with cloud-based machine learning algorithms, will automate blood analysis and open up new diagnostic possibilities.
Duke engineering graduate students formed SafineAI to miniaturize a reconfigurable LED microscope. This concept has already earned them a $120,000 prize at a local pitch competition.
This microscope adapts its lighting angles, colors, and patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the initial proof-of-concept study, the microscope simultaneously developed a lighting pattern and classification system that allowed it to quickly identify red blood cells infected by the malaria parasite more accurately than trained physicians and other machine learning approaches.