Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation

We developed an Adaptive Reference-Digital Image Correlation (AR-DIC) method that enables unbiased and accurate mechanics measurements of moving biological tissue samples. We applied the AR-DIC analysis to a spontaneously beating cardiomyocyte (CM) tissue, and could provide correct quantifications o...

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Autores principales: Shradhanjali, Akankshya, Riehl, Brandon D., Duan, Bin, Yang, Ruiguo, Lim, Jung Yul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895104/
https://www.ncbi.nlm.nih.gov/pubmed/31804542
http://dx.doi.org/10.1038/s41598-019-54768-w
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author Shradhanjali, Akankshya
Riehl, Brandon D.
Duan, Bin
Yang, Ruiguo
Lim, Jung Yul
author_facet Shradhanjali, Akankshya
Riehl, Brandon D.
Duan, Bin
Yang, Ruiguo
Lim, Jung Yul
author_sort Shradhanjali, Akankshya
collection PubMed
description We developed an Adaptive Reference-Digital Image Correlation (AR-DIC) method that enables unbiased and accurate mechanics measurements of moving biological tissue samples. We applied the AR-DIC analysis to a spontaneously beating cardiomyocyte (CM) tissue, and could provide correct quantifications of tissue displacement and strain for the beating CMs utilizing physiologically-relevant, sarcomere displacement length-based contraction criteria. The data were further synthesized into novel spatiotemporal parameters of CM contraction to account for the CM beating homogeneity, synchronicity, and propagation as holistic measures of functional myocardial tissue development. Our AR-DIC analyses may thus provide advanced non-invasive characterization tools for assessing the development of spontaneously contracting CMs, suggesting an applicability in myocardial regenerative medicine.
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spelling pubmed-68951042019-12-12 Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation Shradhanjali, Akankshya Riehl, Brandon D. Duan, Bin Yang, Ruiguo Lim, Jung Yul Sci Rep Article We developed an Adaptive Reference-Digital Image Correlation (AR-DIC) method that enables unbiased and accurate mechanics measurements of moving biological tissue samples. We applied the AR-DIC analysis to a spontaneously beating cardiomyocyte (CM) tissue, and could provide correct quantifications of tissue displacement and strain for the beating CMs utilizing physiologically-relevant, sarcomere displacement length-based contraction criteria. The data were further synthesized into novel spatiotemporal parameters of CM contraction to account for the CM beating homogeneity, synchronicity, and propagation as holistic measures of functional myocardial tissue development. Our AR-DIC analyses may thus provide advanced non-invasive characterization tools for assessing the development of spontaneously contracting CMs, suggesting an applicability in myocardial regenerative medicine. Nature Publishing Group UK 2019-12-05 /pmc/articles/PMC6895104/ /pubmed/31804542 http://dx.doi.org/10.1038/s41598-019-54768-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shradhanjali, Akankshya
Riehl, Brandon D.
Duan, Bin
Yang, Ruiguo
Lim, Jung Yul
Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation
title Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation
title_full Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation
title_fullStr Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation
title_full_unstemmed Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation
title_short Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation
title_sort spatiotemporal characterizations of spontaneously beating cardiomyocytes with adaptive reference digital image correlation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895104/
https://www.ncbi.nlm.nih.gov/pubmed/31804542
http://dx.doi.org/10.1038/s41598-019-54768-w
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