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Deep learning enables rapid and robust analysis of fluorescence lifetime imaging in photon-starved conditions

2020-12-02

Abstract excerpt

Fluorescence lifetime imaging microscopy (FLIM) is a powerful tool to quantify molecular compositions and study the molecular states in the complex cellular environment as the lifetime readings are not biased by the fluorophore concentration or the excitation power. However, the current methods to generate FLIM images are either computationally intensive or unreliable when the number of photons acquired at each pi...

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Literature Corpus work
2a4132df-11a5-533b-99e0-89aa80386a42
DOI
10.1101/2020.12.02.408195
Open publication

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Deep learning enables rapid and robust analysis of fluorescence lifetime imaging in photon-starved conditionsDOI 10.1101/2020.12.02.408195
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