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In order to better evaluate drug treatments or understand biological processes working directly with whole-slide tissue images, life-scientists need to have immediate and easy access to their image collection independently of the slide-scanning work station.

Furthermore tailoring the workflow and carrying out collaborative and multidisciplinary studies with powerful annotation and quantification tools can help scientists to achieve their research goals faster.

Boost your research studies and speed up your discoveries with Cytomine, a fully documented open-source solution driven by its own scientific community

Storage : upload and archive your whole-slide imaging data in Cytomine independently of your slide scanning vendor (see footnote for supported whole-slide image formats). Immediately access and organize your images into scientific projects. Retrieve them easily for a publication or to provide public or private access to your dataset. Distribute and scale the platform on-the-goaccording to your needs.

Collaborative annotation : real-time scientific collaboration on whole-slide images from anywhere in the world using modern web navigation interfaces, semantic annotation tools and user-specific layers.

Human-assisted machine learning : analyze your imaging data with custom-made solutions tailored to your research needs, implemented on modern, multi-core architectures, and computing clusters.

Review and report : a simple proofreading web user-interface to review your annotations and quantification results and automatically generate reports tailored to your organization's needs across multiple scientific domains.


  • Supported whole slide image formats: JP(E)G, PNG, BMP, TIF, TIFF, SVS, SVS, SCN, NDPI, VMS, MRXS, VSI.
  • Cytomine proposes slide scanning services.