Home News Our new Enterprise Edition Teaching is available !

Our new Enterprise Edition Teaching is available !

Cytomine Enterprise Edition Teaching (EET) is a brand new product developped by Cytomine Corporation.

Based on the latest Cytomine Community Edition, it extend the open-source software Cytomine with features and modules that makes teaching cytology, histology and pathology easy.

The first demo sessions will be done at ECDP 2023 in Budapest.


About Cytomine Enterprise Edtion Teaching

Secured solution with an optimal accessibility

  • Full web platform: it is available from anywhere and anytime, over internet.
  • User interface natively compatible with most web browsers: no additional software needs to be installed on users' devices: computers, tablets or smartphones.
  • Centralized authentication servers (SAML/Shibboleth or LDAP) to automate user management and integrate your Cytomine into your institution's digital ecosystem.
  • Link to your LMS (Learning Management System) such as Moodle or Blackboard via the LTI protocol (Learning Tools Interoperability) to automate the affiliation of student users in an educational context.
  • Possibility of defining public users, authorized to connect without authentication, which can be interesting in the context of a congress or a workshop for example.

User-friendly solution and collaborative analysis

  • Sub collections of whole-slide images are shared in working spaces named projects, where roles and permissions of each user can be specified regarding the working context.
  • Users have a personal annotation layer, on which they can set their own annotations, and add some semantic information on them (descriptions, tags, properties, comments, etc.). This enriches the interactions between users in any kind of context.
  • Users can share and synchronize their viewers remotely and in real time, which greatly facilitates collaborative work and user support in real time.
  • It is possible to do screenshots including or not the annotations.
  • Projects can be cloned, including their setup and every data they contain.
  • Transfer slides between projects, with or without their annotations.
  • Personal image storages can be shared, allowing users to build real collaborative images collections available for sharing into project.
  • Upload images directly from a project without going through the “Storage” page.
  • Calibrate the images directly via the user interface, from a calibration tool integrated measurement.


  • Support of many image formats in brightfield microscopy: native support for pyramidal TIFF, SVS and BIF from Aperio, BIF from Roche, MRXS from Mirax and 3DHistech, NDPI and VMS from Hamamatsu, SVN from Leica.
  • Support additional images formats such as DICOM, VSI from Olympus and iSyntax from Philips.  CZI from Zeiss is scheduled by fall 2023. Extended support for Hamamatsu's NDPI, and 3DHistech’s MRXS and Leica’s SVS are scheduled by 2024.
  • Support Z-scanned images (Z-stack) in TIFF format.
  • Support of images acquired under fluorescence, first in TIFF, and then in more specific vendor WSI formats. Intensity adjustment of each fluorochrome is scheduled by fall 2023. 
  • Support classical photography image formats like J(E)PG, BMP, and PNG. This allows patient records to be expanded with macro-scale lesions or tissue photos, and display them to students, researchers, or pathologists in the same interface than Whole-Slide Images.


  • Natively scalable: it is a server application, made up of different services deployed in Docker containers. Its level of performance can therefore be continuously adapted.

Data management and Artificial Intelligence Engine

  • API with entry points that can be queried by external clients (Java and Python available), which makes it a solution with very modular access, easy to integrate into a complex work environment, and exchange data (images, annotations, analysis results) with third‑party applications.
  • Possibility to decide which users can use the API to automate processes or collect data for analysis.
  • In version 2024 it will be possible to exploit online image processing and analysis algorithms based on artificial intelligence, to prepare your students to the use of technological tools that foreshadow what their future work conditions will be.


  • Possibility to change the logo and the colours of the banner to adapt your Cytomine EET to your institution graphical charter.



Benefit for the teacher
Images In Cytomine EET, images storage spaces can be shared with your colleagues to build valuable whole-slide images collection valuable for teaching to several audiences.

In Cytomine EET, images and their content can be transferred between projects.  Projects can also be completely cloned, in order to ease year to year material recycling.

Access Decide who can access to your images, and when.  Cytomine EET can be linked to your institution’s LMS, allowing automated project registration of students.
Data Seamlessly add notes, tags and descriptions to your images and annotations.
Build teaching pathway within your images.
Mentorship Students’ annotation layers and activities are available, allowing you to personalize your mentorship, which can be facilitated by live broadcasting your viewer.


Benefit for the student
Autonomy Cytomine EET being available anytime from anywhere, students can be more autonomous in their learning.  No more date and place constraints for microscopy.
Equality All students can view the same images.  No more discrimination based on bad quality slides or microscopes.  Rare slides and cases can be made available for all.
Active learning Students can do their own annotations, for themselves as for the teacher, being more active in their learning.
Peer learning Students can benefit from teachers’ annotations and descriptions, but also from their peers if the project are set in collaborative mode.  Group work made easy.