scikit-image-processing
CommunityUnlock insights from scientific images.
Education & Research#quantitative analysis#image processing#segmentation#microscopy#bioimage analysis#scikit-image
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies complex image analysis tasks, enabling researchers to extract meaningful quantitative data from microscopy and other scientific images without extensive manual effort.
Core Features & Use Cases
- Image Preprocessing: Denoise, smooth, and correct uneven illumination in images.
- Segmentation: Isolate and delineate objects of interest like cells or nuclei.
- Measurement: Quantify properties such as area, intensity, and shape descriptors.
- Use Case: Analyze fluorescence microscopy images to automatically segment cell nuclei, measure their size, and quantify the average GFP intensity within each nucleus.
Quick Start
Use the scikit-image-processing skill to segment nuclei from the attached file 'cells.tif' and measure their mean GFP intensity.
Dependency Matrix
Required Modules
scikit-imagenumpyscipymatplotlibtifffileaicsimageio
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scikit-image-processing Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#scikit-image-processing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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