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Bazan C, Barba DT, Blomgren P, et al. Image processing techniques for assessing contractility in isolated adult cardiac myocytes. Int J Biomed Imaging. 2010;2009:352954doi: 10.1155/2009/352954.
Bazan, C., Barba, D. T., Blomgren, P., & Paolini, P. (2009). Image processing techniques for assessing contractility in isolated adult cardiac myocytes. International journal of biomedical imaging, 2009352954. https://doi.org/10.1155/2009/352954
Bazan, Carlos, et al. "Image processing techniques for assessing contractility in isolated adult cardiac myocytes." International journal of biomedical imaging vol. 2009 (2009): 352954. doi: https://doi.org/10.1155/2009/352954
Bazan C, Barba DT, Blomgren P, Paolini P. Image processing techniques for assessing contractility in isolated adult cardiac myocytes. Int J Biomed Imaging. 2009;2009:352954. doi: 10.1155/2009/352954. Epub 2010 Feb 24. PMID: 20224633; PMCID: PMC2829623.
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Int J Biomed Imaging. 2009;2009:352954. doi: 10.1155/2009/352954. Epub 2010 Feb 24.

Image processing techniques for assessing contractility in isolated adult cardiac myocytes.

International journal of biomedical imaging

Carlos Bazan, David Torres Barba, Peter Blomgren, Paul Paolini

Affiliations

  1. Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-1245, USA.

PMID: 20224633 PMCID: PMC2829623 DOI: 10.1155/2009/352954

Abstract

We describe a computational framework for the comprehensive assessment of contractile responses of enzymatically dissociated adult cardiac myocytes. The proposed methodology comprises the following stages: digital video recording of the contracting cell, edge preserving total variation-based image smoothing, segmentation of the smoothed images, contour extraction from the segmented images, shape representation by Fourier descriptors, and contractility assessment. The different stages are variants of mathematically sound and computationally robust algorithms very well established in the image processing community. The physiologic application of the methodology is evaluated by assessing overall contraction in enzymatically dissociated adult rat cardiocytes. Our results demonstrate the effectiveness of the proposed approach in characterizing the true, two-dimensional, "shortening" in the contraction process of adult cardiocytes. We compare the performance of the proposed method to that of a popular edge detection system in the literature. The proposed method not only provides a more comprehensive assessment of the myocyte contraction process but also can potentially eliminate historical concerns and sources of errors caused by myocyte rotation or translation during contraction. Furthermore, the versatility of the image processing techniques makes the method suitable for determining myocyte shortening in cells that usually bend or move during contraction. The proposed method can be utilized to evaluate changes in contractile behavior resulting from drug intervention, disease modeling, transgeneity, or other common applications to mammalian cardiocytes.

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