TY - JOUR
T1 - Classification of T-cell activation via autofluorescence lifetime imaging
AU - Walsh, Alex J.
AU - Mueller, Katherine P.
AU - Tweed, Kelsey
AU - Jones, Isabel
AU - Walsh, Christine M.
AU - Piscopo, Nicole J.
AU - Niemi, Natalie M.
AU - Pagliarini, David J.
AU - Saha, Krishanu
AU - Skala, Melissa C.
PY - 2020
Y1 - 2020
N2 - 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 (CD3+CD8+ or CD3+CD4+) with 97% accuracy. Autofluorescence lifetime imaging can be used to non-destructively determine T-cell function.
AB - 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 (CD3+CD8+ or CD3+CD4+) with 97% accuracy. Autofluorescence lifetime imaging can be used to non-destructively determine T-cell function.
UR - http://www.scopus.com/inward/record.url?scp=85088947729&partnerID=8YFLogxK
U2 - 10.1038/s41551-020-0592-z
DO - 10.1038/s41551-020-0592-z
M3 - Article
C2 - 32719514
AN - SCOPUS:85088947729
JO - Nature Biomedical Engineering
JF - Nature Biomedical Engineering
SN - 2157-846X
ER -