Bioinformatics. 2016 May 1;32(9):1395-401. doi: 10.1093/bioinformatics/btw013. Epub 2016 Jan 10.
Raphaël Marée, Loïc Rollus, Benjamin Stévens, Renaud Hoyoux, Gilles Louppe, Rémy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts, Louis Wehenkel
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 (http://www.cytomine.be/) is freely available under an open-source license from http://github.com/cytomine/ A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available.
Contact: info@cytomine.be
Supplementary information: Supplementary data are available at Bioinformatics online.
