Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes
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 s...
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Format: | Article |
Language: | English |
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Wiley
2009-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2009/352954 |
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author | Carlos Bazan David Torres Barba Peter Blomgren Paul Paolini |
author_facet | Carlos Bazan David Torres Barba Peter Blomgren Paul Paolini |
author_sort | Carlos Bazan |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-af02b026886341c592a532774611e544 |
institution | Kabale University |
issn | 1687-4188 1687-4196 |
language | English |
publishDate | 2009-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Biomedical Imaging |
spelling | doaj-art-af02b026886341c592a532774611e5442025-02-03T01:01:08ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/352954352954Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac MyocytesCarlos Bazan0David Torres Barba1Peter Blomgren2Paul Paolini3Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-1245, USAComputational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-1245, USADepartment of Mathematics & Statistics, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-7720, USACardioMyocyte Dynamics Lab, Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4614, USAWe 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.http://dx.doi.org/10.1155/2009/352954 |
spellingShingle | Carlos Bazan David Torres Barba Peter Blomgren Paul Paolini Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes International Journal of Biomedical Imaging |
title | Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes |
title_full | Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes |
title_fullStr | Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes |
title_full_unstemmed | Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes |
title_short | Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes |
title_sort | image processing techniques for assessing contractility in isolated adult cardiac myocytes |
url | http://dx.doi.org/10.1155/2009/352954 |
work_keys_str_mv | AT carlosbazan imageprocessingtechniquesforassessingcontractilityinisolatedadultcardiacmyocytes AT davidtorresbarba imageprocessingtechniquesforassessingcontractilityinisolatedadultcardiacmyocytes AT peterblomgren imageprocessingtechniquesforassessingcontractilityinisolatedadultcardiacmyocytes AT paulpaolini imageprocessingtechniquesforassessingcontractilityinisolatedadultcardiacmyocytes |