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Collaborative analysis of multi-gigapixel imaging data using Cytomine.

Submitted by karopka on Tue, 2019/11/26 - 19:52
TitleCollaborative analysis of multi-gigapixel imaging data using Cytomine.
Publication TypeJournal Article
Year of Publication2016
AuthorsMarée, R, Rollus, L, Stévens, B, Hoyoux, R, Louppe, G, Vandaele, R, Begon, J-M, Kainz, P, Geurts, P, Wehenkel, L
Date Published2016 05 01
KeywordsImage Interpretation, Computer-Assisted, Internet, Software, Statistics as Topic

MOTIVATION: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries.RESULTS: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications.AVAILABILITY AND IMPLEMENTATION: Cytomine ( is freely available under an open-source license from A documentation wiki ( and a demo server ( are also available.CONTACT: info@cytomine.beSUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Alternate JournalBioinformatics
PubMed ID26755625
PubMed Central IDPMC4848407
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