Institut Pasteur, Unité d'Analyse d'Images Quantitative, Centre National de la Recherche Scientifique, Unité de Recherche Associée 2582, Paris, France.
Nat Methods. 2012 Jun 28;9(7):690-6. doi: 10.1038/nmeth.2075.
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/.
当前生物学领域的研究越来越多地使用复杂的计算和成像工具。本文介绍了 Icy,这是一个协作式生物影像信息学平台,它结合了一个用于贡献和共享工具及材料的社区网站,以及一个具有高端可视化编程框架的软件,可用于无缝开发复杂的成像工作流程。Icy 通过鼓励和促进算法和协议的可重用性、模块化、标准化和管理,扩展了可重复性研究的原则。Icy 是免费的、开源的,可在 http://icy.bioimageanalysis.org/ 获取。