EOSC Federation use case: Imaging data workflows on Galaxy

Today we release of the third in our series of short videos demonstrating how the EOSC Federation enables cross-disciplinary science.

A European-based social network of data that brings together high-performance computing with common, scalable approaches to the analysis of the massive imaging data sets collected by astrophysicists, oceanographers, climate scientists, biologists and other researchers

This use case follows researchers from diverse fields such as microscopy, marine science and astrophysics, all tackling the shared challenge of making sense of complex imaging data. The video showcases the Voronoi Segmentation workflow on the Open Access Galaxy platform, where users—regardless of coding skills—can import data from European repositories and run automated image analysis to segment, classify, and count objects while retaining a full record of each step. By making advanced tools accessible and reusable, this use case shows how the EOSC Federation helps turn fragmented efforts into coordinated, collaborative science at scale.

The goal is to demonstrate that Galaxy can be integrated into the EOSC Federation’s common infrastructure to serve many disciplines simultaneously, allowing researchers to share workflows across disciplines, reuse methods, and access powerful computational tools without needing specialised technical expertise.

The collaboration brings together a dozen national, thematic and e-Infrastructure EOSC Nodes.