Omero Integration

If you're working with microscopy data stored in OMERO servers, this skill gives you the Python API patterns you need. It covers the full stack: connecting and authenticating, navigating the project/dataset/image hierarchy, pulling pixel data as NumPy arrays, managing ROIs and annotations, and storing analysis results in OMERO tables. The references are organized by task (data access, image processing, ROIs, batch scripts), which is helpful since OMERO's API surface is pretty wide. Most useful when you're building analysis pipelines that need to read from and write back to OMERO rather than working with exported files. The context manager patterns and error handling examples are solid.