Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells

Abstract

In this study, Chen et al. introduced a new deep learning-based method termed flimGANE to rapidly generate accurate and high-quality FLIM images even in the photon-starved conditions. flimGANE is particularly useful in fundamental biological research and clinical applications.