February 24, 2026
Euro-BioImaging Launches the EVOLVE Mentoring Programme 2026
Euro-BioImaging has officially kicked off the second edition of the EVOLVE Mentoring Programme, welcoming 17 mentoring pairs from 16 countries and 4 companies across…
Euro-BioImaging, alongside Simula, EPFL and the University of Bergen, is proud to announce the launch of FAIR Image Analysis Across Sciences, an initiative supported by the OSCARS project. Selected through OSCARS' competitive first open call of cascading grants, this project aims to break down disciplinary barriers in image analysis by developing robust, reusable, and interoperable workflows that align with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). The project aims to foster cross-domain collaboration, enabling bioimaging, environmental sciences, and astrophysics scientists to share and reuse image analysis tools and workflows.
Scientific disciplines rely on imaging data to advance knowledge, yet fragmentation in tools and methodologies limits interoperability. The FAIR Image Analysis Across Sciences initiative will tackle these challenges by:
The FAIR Image Analysis Across Sciences project will empower researchers to accelerate discoveries, reduce duplication of effort, and increase reproducibility. This initiative represents a significant step forward in scientific collaboration and underscores the growing need for sustainable and FAIR image analysis practices worldwide.

More information about the project can be found at FAIR Image Analysis Across Sciences.
Article written by Beatriz Serrano-Solano
February 24, 2026
Euro-BioImaging has officially kicked off the second edition of the EVOLVE Mentoring Programme, welcoming 17 mentoring pairs from 16 countries and 4 companies across…
February 24, 2026
Need to look at the biomechanical properties of a sample? IPHYS Bioimaging Facility, part of Euro-BioImaging’s Advanced Light…
February 13, 2026
Bugra Oezdemir, our image data tools specialist from the Euro-BioImaging Bio-Hub team, had the pleasure of co-leading a session at the Data Science 3C-CoDash…