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A FIJI macro for quantifying pattern in extracellular matrix
Diverse extracellular matrix patterns are observed in both normal and pathological tissue. However, most current tools for quantitative analysis focus on a single aspect of matrix patterning. Thus, an automated pipeline that simultaneously quantifies a broad range of metrics and enables a comprehens...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Life Science Alliance LLC
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898596/ https://www.ncbi.nlm.nih.gov/pubmed/33504622 http://dx.doi.org/10.26508/lsa.202000880 |
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author | Wershof, Esther Park, Danielle Barry, David J Jenkins, Robert P Rullan, Antonio Wilkins, Anna Schlegelmilch, Karin Roxanis, Ioannis Anderson, Kurt I Bates, Paul A Sahai, Erik |
author_facet | Wershof, Esther Park, Danielle Barry, David J Jenkins, Robert P Rullan, Antonio Wilkins, Anna Schlegelmilch, Karin Roxanis, Ioannis Anderson, Kurt I Bates, Paul A Sahai, Erik |
author_sort | Wershof, Esther |
collection | PubMed |
description | Diverse extracellular matrix patterns are observed in both normal and pathological tissue. However, most current tools for quantitative analysis focus on a single aspect of matrix patterning. Thus, an automated pipeline that simultaneously quantifies a broad range of metrics and enables a comprehensive description of varied matrix patterns is needed. To this end, we have developed an ImageJ plugin called TWOMBLI, which stands for The Workflow Of Matrix BioLogy Informatics. This pipeline includes metrics of matrix alignment, length, branching, end points, gaps, fractal dimension, curvature, and the distribution of fibre thickness. TWOMBLI is designed to be quick, versatile and easy-to-use particularly for non-computational scientists. TWOMBLI can be downloaded from https://github.com/wershofe/TWOMBLI together with detailed documentation and tutorial video. Although developed with the extracellular matrix in mind, TWOMBLI is versatile and can be applied to vascular and cytoskeletal networks. Here we present an overview of the pipeline together with examples from a wide range of contexts where matrix patterns are generated. |
format | Online Article Text |
id | pubmed-7898596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Life Science Alliance LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-78985962021-03-23 A FIJI macro for quantifying pattern in extracellular matrix Wershof, Esther Park, Danielle Barry, David J Jenkins, Robert P Rullan, Antonio Wilkins, Anna Schlegelmilch, Karin Roxanis, Ioannis Anderson, Kurt I Bates, Paul A Sahai, Erik Life Sci Alliance Methods Diverse extracellular matrix patterns are observed in both normal and pathological tissue. However, most current tools for quantitative analysis focus on a single aspect of matrix patterning. Thus, an automated pipeline that simultaneously quantifies a broad range of metrics and enables a comprehensive description of varied matrix patterns is needed. To this end, we have developed an ImageJ plugin called TWOMBLI, which stands for The Workflow Of Matrix BioLogy Informatics. This pipeline includes metrics of matrix alignment, length, branching, end points, gaps, fractal dimension, curvature, and the distribution of fibre thickness. TWOMBLI is designed to be quick, versatile and easy-to-use particularly for non-computational scientists. TWOMBLI can be downloaded from https://github.com/wershofe/TWOMBLI together with detailed documentation and tutorial video. Although developed with the extracellular matrix in mind, TWOMBLI is versatile and can be applied to vascular and cytoskeletal networks. Here we present an overview of the pipeline together with examples from a wide range of contexts where matrix patterns are generated. Life Science Alliance LLC 2021-01-27 /pmc/articles/PMC7898596/ /pubmed/33504622 http://dx.doi.org/10.26508/lsa.202000880 Text en © 2021 Wershof et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Methods Wershof, Esther Park, Danielle Barry, David J Jenkins, Robert P Rullan, Antonio Wilkins, Anna Schlegelmilch, Karin Roxanis, Ioannis Anderson, Kurt I Bates, Paul A Sahai, Erik A FIJI macro for quantifying pattern in extracellular matrix |
title | A FIJI macro for quantifying pattern in extracellular matrix |
title_full | A FIJI macro for quantifying pattern in extracellular matrix |
title_fullStr | A FIJI macro for quantifying pattern in extracellular matrix |
title_full_unstemmed | A FIJI macro for quantifying pattern in extracellular matrix |
title_short | A FIJI macro for quantifying pattern in extracellular matrix |
title_sort | fiji macro for quantifying pattern in extracellular matrix |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898596/ https://www.ncbi.nlm.nih.gov/pubmed/33504622 http://dx.doi.org/10.26508/lsa.202000880 |
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