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.

Details

Title
Optical-flow based non-invasive analysis of cardiomyocyte contractility
Author
Czirok, Andras 1   VIAFID ORCID Logo  ; Dona Greta Isai 2 ; Kosa, Edina 2 ; Rajasingh, Sheeja 2 ; Kinsey, William 2 ; Neufeld, Zoltan 3 ; Johnson, Rajasingh 4   VIAFID ORCID Logo 

1  Department of Anatomy & Cell Biology, University of Kansas Medical Center, Kansas City, KS, USA; Department of Biological Physics, Eotvos University, Budapest, Hungary 
2  Department of Anatomy & Cell Biology, University of Kansas Medical Center, Kansas City, KS, USA 
3  Department of Mathematics, University of Queensland, Brisbane, Australia 
4  Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA 
Pages
1-11
Publication year
2017
Publication date
Sep 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41598-017-10094-7
ProQuest document ID
1957713167
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.