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16 March 2023 Label-free identification of T-cell subpopulations and tracking their activations by large-scale quantitative phase imaging cytometry (Conference Presentation)
Sam C. K. Ho, Dickson M. D. Siu, Kenneth K. Y. Wong, Kevin K. Tsia
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Proceedings Volume PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII; PC123900Q (2023) https://doi.org/10.1117/12.2655319
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Using high-throughput quantitative phase imaging (QPI) flow cytometry, we demonstrate that label-free single-cell image-based analysis allows the classification of the key human T cell subpopulations, CD4+ and CD8+ cells. Going beyond the existing QPI cytometers, we show that the high-dimensional biophysical phenotypic profiles extracted from this large-scale QPI platform display the label-free statistical power to unambiguously reveal the respective activation changes of the CD4+ and CD8+ cells subpopulations which are costimulated with anti-CD3/CD28. The findings are validated with the standard activation marker CD25. This work has further substantiated the potential of adopting label-free QPI cytometry for in-depth functional immune cell profiling.
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Sam C. K. Ho, Dickson M. D. Siu, Kenneth K. Y. Wong, and Kevin K. Tsia "Label-free identification of T-cell subpopulations and tracking their activations by large-scale quantitative phase imaging cytometry (Conference Presentation)", Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC123900Q (16 March 2023); https://doi.org/10.1117/12.2655319
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KEYWORDS
Phase imaging
Complex systems
Microfluidics
Multiplexing
Testing and analysis
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