omero-integration

Access and manage OMERO microscopy data with Python gateway sessions.

74|5|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/dralkh/seerai --skill omero-integration-dralkh
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: omero-integration
Source: https://github.com/dralkh/seerai/tree/main/skills/omero-integration
Command: npx skills add https://github.com/dralkh/seerai --skill omero-integration-dralkh

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of working with OMERO by helping you connect to microscopy servers, retrieve image data, and manage research objects without writing repetitive gateway code.

Core Features & Use Cases

  • Connection and retrieval: Open authenticated OMERO sessions, browse projects, datasets, screens, plates, wells, and images, and query objects by ID or attributes.
  • Image and ROI analysis: Access pixel data, render thumbnails and projections, create or inspect ROIs, and calculate intensity statistics for microscopy analysis.
  • Metadata and automation: Add tags, map annotations, file attachments, and tables, then use server-side scripts for batch processing and high-content screening workflows.
  • Use case: A researcher can connect to OMERO, pull all images from a dataset, measure ROI intensities, store the results in a table, and attach the analysis back to the dataset for review.

Quick Start

Ask the skill to connect to your OMERO server, inspect a dataset, analyze its images, and return the measurements with any linked annotations or tables.

Frequently Asked Questions about omero-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve OMERO microscopy images and navigate datasets without writing Python API boilerplate?β–Ό

You can retrieve OMERO microscopy images and browse datasets by opening an authenticated server session, querying objects by ID or attributes, and navigating projects, screens, plates, and wells without manual gateway code.

Can I calculate ROI intensity statistics and store the results in OMERO tables?β–Ό

Yes, you can calculate ROI intensity statistics for microscopy analysis and store the measurement results in OMERO tables, then attach the analysis back to the dataset for review.

What do I need to connect to an OMERO server and run batch processing workflows?β–Ό

Connecting to an OMERO server requires Python OMERO gateway access, authenticated server connectivity, and careful group and permission handling to reliably run server-side batch workflows.

How does pixel analysis work for high-content screening tasks in OMERO?β–Ό

Pixel analysis for high-content screening uses NumPy-based processing to access pixel data, render thumbnails and projections, and calculate intensity statistics directly within the OMERO environment.

How do I manage annotations and metadata for microscopy datasets in OMERO?β–Ό

You can manage OMERO annotations by adding tags, map annotations, file attachments, and tables to datasets, enabling organized metadata tracking for microscopy research objects.

Are there limitations when handling group permissions for OMERO server-side workflows?β–Ό

OMERO batch workflows require careful group and permission handling to ensure reliable operation, as authenticated server connectivity and proper access rights are mandatory for managing microscopy data.