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Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency

In biology, organization at multiple scales potentiates biological function. Current advances in staining and imaging of biological tissues provide a wealth of data, but there are few metrics to quantitatively describe these findings. In particular there is a need for a metric that would characteriz...

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Autores principales: Drew, Nancy K., Eagleson, Mackenzie A., Baldo Jr., Danny B., Parker, Kevin Kit, Grosberg, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388480/
https://www.ncbi.nlm.nih.gov/pubmed/25849553
http://dx.doi.org/10.1371/journal.pcbi.1004190
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author Drew, Nancy K.
Eagleson, Mackenzie A.
Baldo Jr., Danny B.
Parker, Kevin Kit
Grosberg, Anna
author_facet Drew, Nancy K.
Eagleson, Mackenzie A.
Baldo Jr., Danny B.
Parker, Kevin Kit
Grosberg, Anna
author_sort Drew, Nancy K.
collection PubMed
description In biology, organization at multiple scales potentiates biological function. Current advances in staining and imaging of biological tissues provide a wealth of data, but there are few metrics to quantitatively describe these findings. In particular there is a need for a metric that would characterize the correlation and consistency of orientation of different biological constructs within a tissue. We aimed to create such a metric and to demonstrate its use with images of cardiac tissues. The co-orientational order parameter (COOP) was based on the mathematical framework of a classical parameter, the orientational order parameter (OOP). Theorems were proven to illustrate the properties and boundaries of the COOP, which was then applied to both synthetic and experimental data. We showed the COOP to be useful for quantifying the correlation of orientation of constructs such as actin filaments and sarcomeric Z-lines. As expected, cardiac tissues showed perfect correlation between actin filaments and Z-lines. We also demonstrated the use of COOP to quantify the consistency of construct orientation within cells of the same shape. The COOP provides a quantitative tool to characterize tissues beyond co-localization or single construct orientation distribution. In the future, this new parameter could be used to represent the quantitative changes during maturation of cardiac tissue, pathological malformation, and other processes.
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spelling pubmed-43884802015-04-21 Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency Drew, Nancy K. Eagleson, Mackenzie A. Baldo Jr., Danny B. Parker, Kevin Kit Grosberg, Anna PLoS Comput Biol Research Article In biology, organization at multiple scales potentiates biological function. Current advances in staining and imaging of biological tissues provide a wealth of data, but there are few metrics to quantitatively describe these findings. In particular there is a need for a metric that would characterize the correlation and consistency of orientation of different biological constructs within a tissue. We aimed to create such a metric and to demonstrate its use with images of cardiac tissues. The co-orientational order parameter (COOP) was based on the mathematical framework of a classical parameter, the orientational order parameter (OOP). Theorems were proven to illustrate the properties and boundaries of the COOP, which was then applied to both synthetic and experimental data. We showed the COOP to be useful for quantifying the correlation of orientation of constructs such as actin filaments and sarcomeric Z-lines. As expected, cardiac tissues showed perfect correlation between actin filaments and Z-lines. We also demonstrated the use of COOP to quantify the consistency of construct orientation within cells of the same shape. The COOP provides a quantitative tool to characterize tissues beyond co-localization or single construct orientation distribution. In the future, this new parameter could be used to represent the quantitative changes during maturation of cardiac tissue, pathological malformation, and other processes. Public Library of Science 2015-04-07 /pmc/articles/PMC4388480/ /pubmed/25849553 http://dx.doi.org/10.1371/journal.pcbi.1004190 Text en © 2015 Drew et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Drew, Nancy K.
Eagleson, Mackenzie A.
Baldo Jr., Danny B.
Parker, Kevin Kit
Grosberg, Anna
Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency
title Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency
title_full Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency
title_fullStr Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency
title_full_unstemmed Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency
title_short Metrics for Assessing Cytoskeletal Orientational Correlations and Consistency
title_sort metrics for assessing cytoskeletal orientational correlations and consistency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388480/
https://www.ncbi.nlm.nih.gov/pubmed/25849553
http://dx.doi.org/10.1371/journal.pcbi.1004190
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