omero-integration

原文涵盖的主题

• OMERO Integration
• Overview
• When to Use This Skill
• Core Capabilities
• 1. Connection & Session Management
• 2. Data Access & Retrieval
• 3. Metadata & Annotations
• 4. Image Processing & Rendering

OMERO is an open-source platform for managing, visualizing, and analyzing microscopy images and metadata. Access images via Python API, retrieve datasets, analyze pixels, manage ROIs and annotations, for high-content screening and microscopy workflows. This skill should be used when: Working with OMERO Python API (omero-py) to access microscopy data Retrieving images, datasets, projects, or screening data programmatically Analyzing pixel data and creating derived images Creating or managing ROIs (regions of interest) on microscopy images Adding annotations, tags, or metadata to OMERO objects Storing measurement results in OMERO tables Creating server-side scripts for batch processing Performing high-content screening analysis This skill covers eight major capability areas. Each is documented in detail in the references/ directory: File: references/connection.md Establish secure connections to OMERO servers, manage sessions, handle authentication, and work with group contexts. Use this for initial setup and connection patterns. Common scenarios: Connect to OMERO server with credentials Use existing session IDs Switch between group contexts Manage connection lifecycle with context ma

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