Icy: an open bioimage informatics platform for extended reproducible research

Fabrice de Chaumont (1) , Stéphane Dallongeville (1) , Nicolas Chenouard (1) , Nicolas Hervé (1) , Sorin Pop (1) , Thomas Provoost (1) , Vannary Meas-Yedid (1) , Praveen Pankajakshan (1) , Timothée Lecomte (1) , Yoann Le Montagner (1) , Thibault Lagache (1) , Alexandre Dufour (1) , Jean-Christophe Olivo-Marin (1)

1 AIQ - Analyse d'Images Quantitative

Current research in biology uses evermore complex computational and imaging tools. Here we describe Icy, a collaborative bioimage informatics platform that combines a community website for contributing and sharing tools and material, and software with a high-end visual programming framework for seamless development of sophisticated imaging workflows. Icy extends the reproducible research principles, by encouraging and facilitating the reusability, modularity, standardization and management of algorithms and protocols. Icy is free, open-source and available at http://icy.bioimageanalysis.org/.

Domains: Image Processing [eess.IV]; Computer Vision and Pattern Recognition [cs.CV]; Machine Learning [cs.LG]; Urology and Nephrology; Cancer; Immunotherapy

Fabrice de Chaumont, Stéphane Dallongeville, Nicolas Chenouard, Nicolas Hervé, Sorin Pop, et al.. Icy: an open bioimage informatics platform for extended reproducible research. Nature Methods, 2012, 9 (7), pp.690-696. ⟨10.1038/nmeth.2075⟩. ⟨pasteur-03721347⟩