Can I manage Regions of Interest (ROIs) with this skill?

Yes, it covers creating, retrieving, and analyzing various ROI shapes like rectangles, polygons, and masks, including extracting pixel statistics from those regions.

What is the primary purpose of the OMERO Integration skill?

It provides standardized patterns and guidance for using the omero-py library to interact with OMERO servers for managing microscopy images, metadata, and analysis results.

How does this skill handle image processing?

It facilitates accessing raw pixel data as NumPy arrays, allowing you to perform analysis or generate derived images like maximum intensity projections.

What are the technical requirements for using this skill?

You need Python 3.7+, the omero-py package, ZeroC Ice 3.6+, and access credentials for an active OMERO server.

Does this skill support high-content screening (HCS)?

Yes, it includes specific capabilities for navigating HCS data structures including Screens, Plates, and Wells.

OMERO Microscopy Integration

Name: OMERO Microscopy Integration
Author: Zehong-Wang

byZehong-Wang

0•

Data Science & ML

Manages microscopy data and metadata via the OMERO Python API for scientific imaging and high-content screening workflows.

The OMERO Integration skill provides specialized guidance for interacting with the OMERO open-source platform to manage, visualize, and analyze microscopy data. It enables developers to programmatically navigate complex hierarchical structures—from Projects and Datasets to Screens and Plates—while facilitating raw pixel access as NumPy arrays for advanced image analysis. By implementing best practices for session management, ROI handling, and OMERO Tables, this skill helps bioimage analysts and researchers build robust automated pipelines for data retrieval, metadata annotation, and server-side batch processing.

Key Features

01Hierarchical data navigation across Projects, Datasets, Screens, and Plates

02Comprehensive ROI management including creation, retrieval, and intensity statistics

03Direct raw pixel data extraction into NumPy arrays for analysis

04Metadata and annotation handling using Tags, Key-Value pairs, and File Attachments

05Server-side scripting support for automated batch processing and workflows

060 GitHub stars

Use Cases

01Automating high-content screening analysis pipelines and data retrieval

02Generating automated summary statistics and ROIs across large image datasets

03Extracting microscopy pixel data for custom machine learning and computer vision models

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos omero-integration

For use in Claude.ai and ChatGPT

Download Skill