This paper describes the thin film portion of a fully-automated malaria diagnosis method. It also defines crucial figures-of-merit for guiding ML development for patient-level machine learning tasks such as malaria.

Published in Conf Proc of IEEE GHTC 2019. A version with S.I. is available at thin film malaria

A local copy is here.