The function of a T cell depends on its subtype and activation state. Here, we show that imaging of the autofluorescence lifetime signals of quiescent and activated T cells can be used to classify the cells. T cells isolated from human peripheral blood and activated in culture using tetrameric antibodies against the surface ligands CD2, CD3 and CD28 showed specific activation-state-dependent patterns of autofluorescence lifetime. Logistic regression models and random forest models classified T cells according to activation state with 97-99% accuracy, and according to activation state (quiescent or activated) and subtype (CD3CD8 or CD3CD4) with 97% accuracy. Autofluorescence lifetime imaging can be used to non-destructively determine T-cell function.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854821 | PMC |
| http://dx.doi.org/10.1038/s41551-020-0592-z | DOI Listing |
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