omero-integration

Programmatic OMERO access uses omero-py and BlitzGateway to connect to a server, retrieve projects, datasets, and images, then extract pixel data and metadata. Install omero-py, authenticate with session credentials, and query objects by ID or filter criteria to enable batch analysis and downstream processing.

ROI management in OMERO involves creating, retrieving, and analyzing region-of-interest shapes linked to images using omero-py. Define shapes, associate them with images, and query ROI data to support image annotation and quantitative analysis workflows.

Batch processing uses OMERO.scripts for server-side automation or omero-py client scripts to iterate over images, apply transformations, and store results. Script templates enable repetitive workflows across projects and datasets without manual image handling.

OMERO Tables attach structured, row-column data directly to images and datasets, enabling linked metadata storage. Use omero-py to create table schemas, populate rows, and query results for high-content screening and quantitative analysis integration.

OMERO annotations include tags, key-value maps, comments, and file attachments linked to any image or dataset. Programmatic access via omero-py lets you create, query, and manage annotations across batches, supporting rich metadata workflows.

OMERO permission handling controls group visibility and data access via session and group context settings. omero-py session management enforces permissions during connection, ensuring only authorized users retrieve or modify data across group-restricted projects.