Tracking autofluorescence and morphological features of cells undergoing mitosis using open-source software

Emmanuel Contreras Guzman; Rupsa Datta; Jeremiah Riendeau; Kiera M. Sapp; Matthew G. Vander Heiden; Melissa C. Skala

doi:10.1117/12.3001868

13 March 2024 Tracking autofluorescence and morphological features of cells undergoing mitosis using open-source software

Emmanuel Contreras Guzman, Rupsa Datta, Jeremiah Riendeau, Kiera M. Sapp, Matthew G. Vander Heiden, Melissa C. Skala

Author Affiliations +

Proceedings Volume PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII; PC1284605 (2024) https://doi.org/10.1117/12.3001868
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Metabolic features of mitosis remain poorly understood because this phase of the cell cycle is rapid and heterogeneous between cells within a dish. Label-free optical metabolic imaging (OMI) can monitor rapid changes in cell metabolism with single cell resolution using two-photon microscopy of the optical redox ratio (NAD(P)H/FAD) and NAD(P)H fluorescence lifetimes. Here, we brought together image analysis tools to quantify OMI time-courses of single cells undergoing mitosis across multiple cell lines. Alignment of OMI and morphological features over time provided unique insight into metabolic changes during mitosis within unperturbed systems.

Conference Presentation

Citation Download Citation

Emmanuel Contreras Guzman, Rupsa Datta, Jeremiah Riendeau, Kiera M. Sapp, Matthew G. Vander Heiden, and Melissa C. Skala "Tracking autofluorescence and morphological features of cells undergoing mitosis using open-source software", Proc. SPIE PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII, PC1284605 (13 March 2024); https://doi.org/10.1117/12.3001868

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