Publication

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

Edoardo Charbon, Claudio Bruschini, Arin Can Ülkü
2024

Abstract

We 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.

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