Non-invasive classification of macrophage polarisation by 2P-FLIM and machine learning

Non-invasive classification of macrophage polarisation by 2P-FLIM and machine learning

In this study, we utilise fluorescence lifetime imaging of NAD(P)H-based cellular autofluorescence as a non-invasive modality to classify two contrasting states of human macrophages by proxy of their governing metabolic state. Macrophages derived from human blood-circulating monocytes were polarised...

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Bibliographic Details
Main Authors: Nuno GB Neto, Sinead A O'Rourke, Mimi Zhang, Hannah K Fitzgerald, Aisling Dunne, Michael G Monaghan
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-10-01
Series:eLife
Subjects:
FLIM
multiphoton
macrophages
cellular metabolism
machine learning
Online Access:https://elifesciences.org/articles/77373

Internet

https://elifesciences.org/articles/77373

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