Share Email Print
cover

Proceedings Paper

Label-free classification of T cell activation (Conference Presentation)
Author(s): Melissa C. Skala; Alex J. Walsh; Kelsey Tweed; Katie Mueller; Isabel Jones; Steven M. Trier; Krishanu Saha

Paper Abstract

Current methods to assess T cell function use labels that prevent non-destructive quality control of T cell infusions. Here, we use autofluorescence imaging of NAD(P)H and FAD, co-enzymes of metabolism, in quiescent and activated T cells for label-free, non-destructive determination of T cell activation state and subtype. Logistic regression models achieved 97-99% accuracy for classification of T cell activation, and random forest models of achieved >97% accuracy for four-group classification of quiescent and activated CD3+CD8+ and CD3+CD4+ T cells. These results indicate that NAD(P)H and FAD imaging is a powerful method for label-free, non-destructive quality control of T cell infusions.

Paper Details

Date Published: 9 March 2020
PDF
Proc. SPIE 11244, Multiphoton Microscopy in the Biomedical Sciences XX, 112440A (9 March 2020); doi: 10.1117/12.2546366
Show Author Affiliations
Melissa C. Skala, Morgridge Institute for Research (United States)
Univ. of Wisconsin-Madison (United States)
Alex J. Walsh, Morgridge Institute for Research (United States)
Kelsey Tweed, Morgridge Institute for Research (United States)
Katie Mueller, Univ. of Wisconsin-Madison (United States)
Isabel Jones, Morgridge Institute for Research (United States)
Steven M. Trier, Morgridge Institute for Research (United States)
Krishanu Saha, Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 11244:
Multiphoton Microscopy in the Biomedical Sciences XX
Ammasi Periasamy; Peter T. C. So; Karsten König, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray