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EpiGraph: an open-source platform to quantify epithelial organization
Author(s) -
Pablo VicenteMunuera,
Pedro GómezGálvez,
Robert J. Tetley,
Cristina Forja,
Antonio Tagua,
Marta Letrán,
Melda Tozluoǧlu,
Yanlan Mao,
Luis M. Escudero
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz683
Subject(s) - epigraph , computer science , graph , artificial intelligence , theoretical computer science , mathematics , mathematical optimization
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.

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