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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Chi tiết về thư mục
Những tác giả chính: Linghao Hu, Blanche Ter Hofstede, Dhavan Sharma, Feng Zhao, Alex J. Walsh
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Frontiers Media S.A. 2023-06-01
Loạt:Frontiers in Bioinformatics
Những chủ đề:
autofluorescence
fluorescence lifetime
machine learning
metabolism
macrophage
Truy cập trực tuyến: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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