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Optical-flow based non-invasive analysis of cardiomyocyte contractility
Czirok, Andras Isai, Dona Greta Kosa, Edina Rajasingh, Sheeja Kinsey, William Neufeld, Zoltan Johnson, Rajasingh
Czirok, Andras
Isai, Dona Greta
Kosa, Edina
Rajasingh, Sheeja
Kinsey, William
Neufeld, Zoltan
Johnson, Rajasingh
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Abstract
Characterization of cardiomyocyte beat patterns is needed for quality control of cells intended for surgical injection as well as to establish phenotypes in disease modeling or toxicity studies. Optical-flow based analysis of videomicroscopic recordings offer a manipulation-free and efficient characterization of contractile cycles, an important characteristics of cardiomyocyte phenotype. We demonstrate that by appropriate computational analysis of optical flow data one can identify distinct contractile centers and distinguish active cell contractility from passive elastic tissue deformations. Our proposed convergence measure correlates with myosin IIa immuno-localization and is capable to resolve contractile waves and their synchronization within maturing, unlabeled induced pluripotent stem cell-derived cardiomyocyte cultures.
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A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
Date
2017-09-04
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Nature Publishing Group
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Czirok, A., Isai, D. G., Kosa, E., Rajasingh, S., Kinsey, W., Neufeld, Z., & Rajasingh, J. (2017). Optical-flow based non-invasive analysis of cardiomyocyte contractility. Scientific Reports, 7(1), 10404.