RT Journal Article
T1 EpiGraph: an open-source platform to quantify epithelial organization.
A1 Vicente-Munuera, Pablo
A1 Gómez-Gálvez, Pedro
A1 Tetley, Robert J
A1 Forja, Cristina
A1 Tagua, Antonio
A1 Letrán, Marta
A1 Tozluoglu, Melda
A1 Mao, Yanlan
A1 Escudero, Luis M
AB 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. 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.
YR 2020
FD 2020
LK http://hdl.handle.net/10668/14529
UL http://hdl.handle.net/10668/14529
LA en
DS RISalud
RD Apr 17, 2025