Can this skill handle high-content screening data?

Yes, it specifically includes patterns for navigating screening hierarchies including Screens, Plates, Wells, and WellSamples.

How does the skill handle OMERO permissions?

The skill provides guidance on managing group contexts and navigating different permission levels such as Read-Only, Read-Annotate, and Read-Write.

What are the requirements for using the OMERO integration skill?

You must have the omero-py library installed and possess valid credentials (host, port, username, and password) for an accessible OMERO server.

Does it support image processing with other Python libraries?

Absolutely. The skill facilitates retrieving pixel data as NumPy arrays, which can then be processed using libraries like OpenCV, Scikit-Image, or PyTorch.

OMERO Microscopy Integration

Name: OMERO Microscopy Integration
Author: Yezez9

byYezez9

0•

데이터 과학 및 ML

Integrates microscopy data management via the OMERO Python API for advanced image analysis and scientific workflow automation.

This skill enables researchers and bioimage analysts to programmatically interact with OMERO servers using the Python API (omero-py), facilitating the retrieval of complex microscopy datasets and the manipulation of pixel data as NumPy arrays. It provides standardized patterns for managing regions of interest (ROIs), handling hierarchical data structures like Projects and Screens, and automating high-content screening workflows. Whether you are performing batch server-side processing or managing detailed metadata annotations, this skill ensures that scientific image data is consistently organized and accessible for large-scale computational analysis.

주요 기능

010 GitHub stars

02Secure connection and session management for OMERO server environments

03Direct pixel data access and manipulation using NumPy arrays

04Comprehensive ROI management for segmentation and intensity statistics

05Hierarchical data navigation for Projects, Datasets, Screens, and Plates

06Structured metadata handling via tags, key-value pairs, and OMERO tables

사용 사례

01Synchronizing analysis results and geometric ROIs from external tools back to OMERO

02Automating high-content screening (HCS) analysis and data extraction pipelines

03Batch processing and server-side script deployment for large-scale microscopy datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent omero-integration

For use in Claude.ai and ChatGPT

주요 기능

010 GitHub stars

02Secure connection and session management for OMERO server environments

03Direct pixel data access and manipulation using NumPy arrays

04Comprehensive ROI management for segmentation and intensity statistics

05Hierarchical data navigation for Projects, Datasets, Screens, and Plates

06Structured metadata handling via tags, key-value pairs, and OMERO tables

사용 사례

01Synchronizing analysis results and geometric ROIs from external tools back to OMERO

02Automating high-content screening (HCS) analysis and data extraction pipelines

03Batch processing and server-side script deployment for large-scale microscopy datasets