In total, 22 modules have been integrated into 19 Galaxy tools, providing scientists with a comprehensive suite to perform the most prevailing functionalities: object segmentation and feature extraction. Several segmentation methods can be applied (Manual, Measurement, Minimum cross entropy, Otsu and Robust background) to all image types supported by CellProfiler. At the level of the objects identified, several parameters can be measured (granularity, texture, intensity, size, shape, etc.), along with the relationships between objects. For complete images -or mathematical combinations of them-, features like the quality, the intensity, and the area occupied by objects can also be easily extracted.
Scientists can now upload their own images to a Galaxy instance and build workflows combining these tools to address different biological questions. The outcome will vary depending on the design of the workflow: segmentation masks for each object identified, features associated with images or any of the objects segmented, images with metadata overlaid on top of the identified objects, among others.
Another approach is to reuse public data from previous studies that are available at the Image Data Resource (IDR). For that purpose, a Galaxy tool was developed in collaboration with EOSC-Life WP1, that directly connects to the IDR, with advanced error handling, and makes bulk-downloads possible.
An exemplary workflow has been created using these tools as part of Demonstrator 6 of EOSC-Life WP3. This demonstrator is focused on reusing publicly available RNAi screens to gain insights into the nucleolus biology. The workflow has been made accessible at the registry Workflow Hub.