Can I perform batch processing with this skill?

Yes, the skill includes capabilities for server-side scripting, allowing you to run automated analysis pipelines across multiple datasets or screening plates.

How does the skill handle image pixel data?

It provides methods to extract raw pixel data from the OMERO server and convert it into NumPy arrays for use in Python-based image processing libraries.

What is OMERO and how does this skill use it?

OMERO is an open-source platform for managing microscopy images. This skill uses the omero-py API to programmatically access, analyze, and organize scientific image data.

What are the technical requirements for this integration?

You need Python 3.7+, the omero-py package, Zeroc Ice 3.6+, and valid credentials for an accessible OMERO server.

Does this skill support ROI and segmentation management?

Absolutely. You can create, retrieve, and modify various ROI shapes like polygons, masks, and rectangles, and extract pixel-level statistics from those regions.

OMERO Microscopy Integration

Name: OMERO Microscopy Integration
Author: ricable

byricable

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데이터 과학 및 ML

Manages and analyzes microscopy image data within the OMERO platform using the Python API for scientific workflows.

소개

The OMERO Integration skill enables seamless programmatic interaction with the OMERO microscopy data management platform, providing tools for researchers to automate complex imaging workflows. It allows users to navigate hierarchical data structures, manipulate raw pixel data as NumPy arrays, and manage regions of interest (ROIs) or metadata annotations. By streamlining high-content screening and batch processing, this skill facilitates sophisticated scientific image analysis and data provenance directly within the OMERO environment.

주요 기능

Hierarchical data navigation across Projects, Datasets, and Images
Raw pixel data access and manipulation using NumPy integration
Metadata and annotation handling for tags and file attachments
1 GitHub stars
Comprehensive ROI management for segmentation and spatial analysis
Server-side batch processing via the OMERO.scripts framework

사용 사례

Extracting pixel intensities and physical dimensions for computational biology pipelines
Automated high-content screening analysis and quantitative data retrieval
Programmatic metadata tagging and ROI creation for large-scale microscopy datasets

소개

주요 기능

Hierarchical data navigation across Projects, Datasets, and Images
Raw pixel data access and manipulation using NumPy integration
Metadata and annotation handling for tags and file attachments
1 GitHub stars
Comprehensive ROI management for segmentation and spatial analysis
Server-side batch processing via the OMERO.scripts framework

사용 사례

Extracting pixel intensities and physical dimensions for computational biology pipelines
Automated high-content screening analysis and quantitative data retrieval
Programmatic metadata tagging and ROI creation for large-scale microscopy datasets