https://www.sciencedaily.com/releases/2019/11/191120121200.htm

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.

The results appear online on November 19 in the journal Biomedical Optics Express.