BiophysicsJournal of the American Chemical SocietyPeer-reviewed
Deep learning for fluorescence lifetime predictions enables high-throughput in vivo imaging
Sofia Kapsiani, Nino F. Läubli, Edward Ward…·Gabriele S. Kaminski Schierle
FLIMngo, a deep learning model, enables fast and accurate fluorescence lifetime predictions from low-photon FLIM data, improving throughput and reducing phototoxicity for in vivo applications.
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