Quantitative analysis of label-free fluorescence lifetime images for single cell measurements of metabolism (Conference Presentation)

Alex J. Walsh; Linghao Hu; Nianchao Wang; Addison Threet

doi:10.1117/12.2655956

15 March 2023 Quantitative analysis of label-free fluorescence lifetime images for single cell measurements of metabolism (Conference Presentation)

Alex J. Walsh, Linghao Hu, Nianchao Wang, Addison Threet

Author Affiliations +

Proceedings Volume PC12384, Multiphoton Microscopy in the Biomedical Sciences XXIII; PC1238406 (2023) https://doi.org/10.1117/12.2655956
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Cellular metabolism is dysregulated in many diseases. Single-cell measurements of metabolism are important since cellular heterogeneity influences patient outcomes. Single-cell segmentation and analysis of fluorescence lifetime images of the metabolic coenzymes, reduced nicotinamide adenine (phosphate) dinucleotide (NAD(P)H) and oxidized flavin adenine dinucleotide (FAD), provides a label-free method to interrogate metabolism at a cellular level. To facilitate cell-level analysis, we are developing automated segmentation algorithms. Additionally, we are creating and testing models for predicting metabolic phenotypes from fluorescence lifetime metrics. Our applications of single-cell metabolic phenotyping include evaluating responses of cancer cells to chemotherapy and characterizing macrophage phenotypes.

Conference Presentation

Citation Download Citation

Alex J. Walsh, Linghao Hu, Nianchao Wang, and Addison Threet "Quantitative analysis of label-free fluorescence lifetime images for single cell measurements of metabolism (Conference Presentation)", Proc. SPIE PC12384, Multiphoton Microscopy in the Biomedical Sciences XXIII, PC1238406 (15 March 2023); https://doi.org/10.1117/12.2655956

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