Imaging is essential in life sciences, helping scientists study everything from molecules to entire organisms. However, high-content screening (HCS) experiments, which produce a huge amount of data, make it challenging to store, manage, and analyze images effectively. NFDI4BIOIMAGE helps address these challenges by creating tools to organize, process, and share HCS image data. Riccardo Massei from the Helmholtz Centre for Environmental Research (UFZ) and colleagues presented Galaxy workflow solutions at the Helmholtz Metadata Collaboration (HMC) Conference.

By using platforms like Galaxy, which integrates tools like CellProfiler and connects with systems like OMERO and IDR (Image Data Resource), scientists can create automated workflows for image analysis. These workflows enrich images with metadata and make them easy to find, ensuring data integrity and supporting collaboration. Riccardo demonstrated a workflow that manages zebrafish and cell line images, automatically adding metadata and simplifying data retrieval and analysis. This approach aligns with FAIR principles (Findable, Accessible, Interoperable, Reusable), making data easier to share and contributing to scientific advancement.

Find the presentation slides published on Zenodo:

• Massei, R., Berndt, M., Serrano-Solano, B., Busch, W., Scholz, S., Bohring, H., Nyffeler, J., Reger, L., Bumberger, J., & Lopez-Delisle, L. (2024, November 6). Building FAIR image analysis pipelines for high-content-screening (HCS) data using Galaxy. Helmholtz Metadata Collaboration (HMC), Virtual. Zenodo. https://doi.org/10.5281/zenodo.14044640

Are you struggling with bioimage data management, e.g. with HCS data? 
Reach out to the NFDI4BIOIMAGE Help Desk!