Machine Learning-based Phenotypic Imaging to Characterise the Targetable Biology of Plasmodium falciparum Male Gametocytes for the Development of Transmission-Blocking Antimalarials
O. Tsebriy, A. Khomiak, C. Miguel-Blanco, P. C. Sparkes, M. Gioli, M. Santelli, E. Whitley, F.-J. Gamo, M. J. Delves
The paper uses machine learning to analyze fluorescence microscopy images of Plasmodium falciparum gametocytes, characterizing the cellular effects of transmission-blocking molecules.
bioRxiv · Apr 22, 2023 · PreprintMicrobiology