At the Montefiore Institute (University of Liège, Belgium), we are researchers developing machine learning algorithms and big data software modules to make life easier for multidisciplinary teams who have to deal with very large imaging data.
The Cytomine software is a rich internet application using modern web and container technologies, databases, and machine/deep learning to foster active and distributed collaboration and ease large-scale image exploitation. The software can be used by life scientists to help them better evaluate drug treatments or understand biological processes using various imaging modalities (including whole-slide tissue images), by pathologists to share and ease their diagnosis, and by teachers and students for image-based training purposes (e.g. histology courses). Beyond biomedicine, it is also being used in various other application domains that involve very large images such as digital collections, industrial quality control, ....
In our research team, we continously contribute to the Cytomine open-source project initiated by our research unit in 2010. The official, base, version is validated and maintained by the Cytomine cooperative company. Our Cytomine ULiège version includes base features plus experimental features driven by our research projects and collaborations, but these are not yet fully validated.
Our main research interests and contributions are:
Here is an overview (PDF) of our research results, and illustrations below. In addition to our open-access scientific publications, our latest results are distributed through the ULiège's Cytomine open-source software repository (and later through the official repository managed by the cooperative).
(October 2018-...) We are involved in the COMULIS COST network for correlative microscopy.
(October 2017-...) The NEUBIAS COST network WG5 choose the Cytomine software to develop its benchmarking platform (BIAFLOWS).
(1 oct. 2017) Ulysse joined our research team @ ULiège. He is now our core developer working on extensions of Cytomine for 16bits/32bits/etc. images and machine/deep learning algorithms.
(15 Sept. 2017) Grégoire, Christopher, and Renaud are now working for Cytomine.coop, a social cooperative to manage the open-source community and to provide services on top of Cytomine open-source software. Learn more about their services and their open company philosophy on Cytomine.coop.
(Sept. 2017) The first worldwide massive online course (MOOC) in french on histology is over. It was a great success ! It will come back next year. It was organized by University of Liege and the FUN platform. More info, course teaser, and registration.
(Jan. 2016) Our Cytomine paper is formally accepted for publication in Bioinformatics journal.
Cytomine is now released under an open-source software license and available on Github (see instructions below).
You can still request an account on our demo server.
(Sept. 2014) A vulgarization of some our research is available on University of Liege Reflexions website
(Oct. 2010) Cytomine kick-off.
The main Cytomine publication is (Marée et al., Bioinformatics 2016). We list here all related publications.
We release our research results mainly through the Cytomine open-source software ULiège repository, while the official, base version is available on the official Cytomine repository.
To install and use the ULiège research version you can follow experimental version installation instructions and its full documentation wiki (it includes guides for administrators, developers, and a Cytomine guide for end-users). To install the official, base version, please follow official installation instructions
Cytomine can be installed on large servers for large-scale studies but also on laptops for small-scale works (then loosing collaboration functionalities). You can also check the Cytomine user guide to get access information on our experimental demo server using default accounts. Access to an official, stable, version can be requested to Cytomine cooperative.
We kindly ask you to cite Cytomine website url (www.cytomine.org) and our main publication (Marée et al., Bioinformatics 2016) when you use our software in your own work.
Raphaël Marée initiated the Cytomine research project in 2010. He is a researcher in machine learning/big data/computer vision and supervises the Cytomine big data research and development activities @ULiège.
Ulysse Rubens is a software developer (Cytomine core modules and machine learning).
Romain Mormont (PhD Student) is a researcher in machine learning (deep learning, transfer learning).
Rémy Vandaele (Post-doc) is a researcher in machine learning (tree-based methods, deep learning).
Navdeep Kumar (PhD student) is a researcher in machine learning (deep learning, domain adaptation).
Previous contributors (team members or students) include: Loic Rollus (2010-2015), Benjamin Stevens (2010-2014), Renaud Hoyoux (2014-2017, now at Cytomine cooperative), Gilles Louppe (2013), Jean-Michel Begon (2014), Pierre Ansen, Julien Confetti, Olivier Caubo, Thomas Vessiere, Laurent Vanosmael (2017), Gino Michiels (2018), Laurent Vanhee (2018), Mehdy Ouras (2018), Guillaume Vissers (2019), Loïc Sacré (2019), ...
Through various collaborations (including the NEUBIAS COST Action), other contributors were/are coming from IRB Barcelona, Pasteur Institute (Paris), VIB Ghent, MRI Biocampus Montpellier, ...
Developments and services related to the base, official, version are lead by the Cytomine cooperative team.
We recommend to use the Image.sc forum as the discussion channel for user related questions.
For bugs or feature requests we recommend to post your issue on our Github repository.
For any questions related to our research activities or for potential research collaborations or internships @ ULiège, feel free to contact us by e-mail: Raphaël Marée.
To ask for a specific demo account, to support the open-source project, or for service requests (e.g. installation, hosting, maintenance, trainings, specific software developments, slide scanning), please contact Cytomine cooperative.
Finally, if you want to visit us, we are based here:
Quartier Polytech 1, 10, Allée de la découverte
Montefiore Institute (B28)
Tel. : +32 4 366 26 44
We are/were involved in the following projects: