Temporal Point Spread Function Deconvolution in Time-resolved Fluorescence Lifetime Imaging using Deep Learning Model

Pandey, VikasErbas, IsmailMichalet, XavierUlku, ArinBruschini, ClaudioCharbon, EdoardoIntes, Xavier2025-01-262025-01-262025-01-25202410.1364/ots.2024.om1d.42-s2.0-85211730769https://infoscience.epfl.ch/handle/20.500.14299/245221We report a deep RNN model for temporal point spread function (TPSFs) deconvolution in multimodal imaging systems to extract true sample fluorescence decay rate. It’s performance has been validated in phantom and well-plate data.falseTemporal Point Spread Function Deconvolution in Time-resolved Fluorescence Lifetime Imaging using Deep Learning Modeltext::conference output::conference proceedings::conference paper