Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes

Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes

Introduction: Autofluorescence imaging of the coenzymes reduced nicotinamide (phosphate) dinucleotide (NAD(P)H) and oxidized flavin adenine dinucleotide (FAD) provides a label-free method to detect cellular metabolism and phenotypes. Time-domain fluorescence lifetime data can be analyzed by exponent...

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Bibliographic Details
Main Authors: Linghao Hu, Blanche Ter Hofstede, Dhavan Sharma, Feng Zhao, Alex J. Walsh
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Bioinformatics
Subjects:
autofluorescence
fluorescence lifetime
machine learning
metabolism
macrophage
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2023.1210157/full

Internet

https://www.frontiersin.org/articles/10.3389/fbinf.2023.1210157/full

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