Vicente-Munuera, PabloGómez-Gálvez, PedroTetley, Robert JForja, CristinaTagua, AntonioLetrán, MartaTozluoglu, MeldaMao, YanlanEscudero, Luis M2023-01-252023-01-252020http://hdl.handle.net/10668/14529Here 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. EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. Supplementary data are available at Bioinformatics online.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Softwareresearch article31544932open access10.1093/bioinformatics/btz6831367-4811PMC7703762https://academic.oup.com/bioinformatics/article-pdf/36/4/1314/32527812/btz683.pdfhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703762/pdf