cell-detection
CommunityAutomate cell segmentation in microscopy images with precision.
AuthorMubasherMohammed
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the segmentation of cells in fluorescence microscopy images, saving time and improving consistency over manual methods.
Core Features & Use Cases
- Cell Segmentation: Automatically segment cells from fluorescence microscopy images.
- Morphology Metrics: Extract per-cell metrics such as area, diameter, centroid, and eccentricity.
- Overlay Figures: Generate overlay figures for visual analysis.
- Report Generation: Create a comprehensive report with segmentation results and metrics.
- Use Case: Ideal for researchers and scientists in cell biology who need to analyze cell images from fluorescence microscopy.
Quick Start
Run the cell-detection skill on your fluorescence microscopy image 'image.tif' to segment cells and generate a report.
Dependency Matrix
Required Modules
cellpose>=4.0tifffilePillownumpymatplotlibscikit-imagescipy
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: cell-detection Download link: https://github.com/MubasherMohammed/opencode-BioInfo/archive/main.zip#cell-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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