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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Main Authors: Nancy K Drew, Mackenzie A Eagleson, Danny B Baldo, Kevin Kit Parker, Anna Grosberg
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-04-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4388480?pdf=render
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spelling doaj-aaa71fc0c1c842b593cec86794ff79e02020-11-25T01:52:56ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-04-01114e100419010.1371/journal.pcbi.1004190Metrics for assessing cytoskeletal orientational correlations and consistency.Nancy K DrewMackenzie A EaglesonDanny B BaldoKevin Kit ParkerAnna GrosbergIn 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.http://europepmc.org/articles/PMC4388480?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Nancy K Drew
Mackenzie A Eagleson
Danny B Baldo
Kevin Kit Parker
Anna Grosberg
spellingShingle Nancy K Drew
Mackenzie A Eagleson
Danny B Baldo
Kevin Kit Parker
Anna Grosberg
Metrics for assessing cytoskeletal orientational correlations and consistency.
PLoS Computational Biology
author_facet Nancy K Drew
Mackenzie A Eagleson
Danny B Baldo
Kevin Kit Parker
Anna Grosberg
author_sort Nancy K Drew
title Metrics for assessing cytoskeletal orientational correlations and consistency.
title_short 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_sort metrics for assessing cytoskeletal orientational correlations and consistency.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2015-04-01
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.
url http://europepmc.org/articles/PMC4388480?pdf=render
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