autofluorescence-imaging-to-evaluate-cellular-metabolism

Autofluorescence Imaging to Evaluate Cellular Metabolism

Cellular metabolism is the process by which cells generate energy, and many diseases, including cancer, are characterized by abnormal metabolism. Reduced ...

Texas A&M University-College Station

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.

Alex J. Walsh

Department of Biomedical Engineering

Texas A&M University-College Station

Autofluorescence Imaging to Evaluate Cellular Metabolism

Alex J. Walsh

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Biomedical Engineering

Texas A&M University-College Station

Autofluorescence Imaging to Evaluate Cellular Metabolism

Department of Biomedical Engineering