使用Cytomine对多千兆像素成像数据进行协作分析。
Collaborative analysis of multi-gigapixel imaging data using Cytomine.
作者信息
Marée Raphaël, Rollus Loïc, Stévens Benjamin, Hoyoux Renaud, Louppe Gilles, Vandaele Rémy, Begon Jean-Michel, Kainz Philipp, Geurts Pierre, Wehenkel Louis
机构信息
Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium Bioimage Analysis Unit, Institut Pasteur, Paris, France.
Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
出版信息
Bioinformatics. 2016 May 1;32(9):1395-401. doi: 10.1093/bioinformatics/btw013. Epub 2016 Jan 10.
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
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
对海量成像数据集进行协作分析对于实现科学发现至关重要。
结果
我们开发了Cytomine，以促进多学科团队在大规模基于图像的研究中的积极且分布式协作。它使用网页开发方法和机器学习，以便在互联网上轻松地（从语义和定量方面）组织、探索、共享和分析多千兆像素成像数据。我们展示了它在多个生物医学应用中的使用方式。
可用性与实现
联系方式
补充信息
补充数据可在《生物信息学》在线获取。
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