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EpiGraph: an open-source platform to quantify epithelial organization
SUMMARY: Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other orga...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703762/ https://www.ncbi.nlm.nih.gov/pubmed/31544932 http://dx.doi.org/10.1093/bioinformatics/btz683 |
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author | Vicente-Munuera, Pablo Gómez-Gálvez, Pedro Tetley, Robert J Forja, Cristina Tagua, Antonio Letrán, Marta Tozluoglu, Melda Mao, Yanlan Escudero, Luis M |
author_facet | Vicente-Munuera, Pablo Gómez-Gálvez, Pedro Tetley, Robert J Forja, Cristina Tagua, Antonio Letrán, Marta Tozluoglu, Melda Mao, Yanlan Escudero, Luis M |
author_sort | Vicente-Munuera, Pablo |
collection | PubMed |
description | SUMMARY: Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform Fiji. This makes EpiGraph very user friendly, with no programming skills required. AVAILABILITY AND IMPLEMENTATION: EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7703762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77037622020-12-07 EpiGraph: an open-source platform to quantify epithelial organization Vicente-Munuera, Pablo Gómez-Gálvez, Pedro Tetley, Robert J Forja, Cristina Tagua, Antonio Letrán, Marta Tozluoglu, Melda Mao, Yanlan Escudero, Luis M Bioinformatics Applications Notes SUMMARY: Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform Fiji. This makes EpiGraph very user friendly, with no programming skills required. AVAILABILITY AND IMPLEMENTATION: EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-02-15 2019-09-06 /pmc/articles/PMC7703762/ /pubmed/31544932 http://dx.doi.org/10.1093/bioinformatics/btz683 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Vicente-Munuera, Pablo Gómez-Gálvez, Pedro Tetley, Robert J Forja, Cristina Tagua, Antonio Letrán, Marta Tozluoglu, Melda Mao, Yanlan Escudero, Luis M EpiGraph: an open-source platform to quantify epithelial organization |
title | EpiGraph: an open-source platform to quantify epithelial organization |
title_full | EpiGraph: an open-source platform to quantify epithelial organization |
title_fullStr | EpiGraph: an open-source platform to quantify epithelial organization |
title_full_unstemmed | EpiGraph: an open-source platform to quantify epithelial organization |
title_short | EpiGraph: an open-source platform to quantify epithelial organization |
title_sort | epigraph: an open-source platform to quantify epithelial organization |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703762/ https://www.ncbi.nlm.nih.gov/pubmed/31544932 http://dx.doi.org/10.1093/bioinformatics/btz683 |
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