Related Experiment Video
Updated: Mar 27, 2026
Analysis of Multidimensional Microscopy Data Using Cell-ACDC
Published on: November 7, 2025
Collaborative analysis of multi-gigapixel imaging data using Cytomine
Raphaël Marée1, Loïc Rollus2, Benjamin Stévens2
1Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium Bioimage Analysis Unit, Institut Pasteur, Paris, France.
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.
