napari-image-viewer
CommunityVisualize and annotate multi-dimensional images.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides an interactive, multi-dimensional viewer for scientific microscopy data, enabling efficient visualization, annotation, and quality-checking of complex image datasets.
Core Features & Use Cases
- Interactive Visualization: Displays 2D, 3D, and 4D image data with multiple layer types (Image, Labels, Points, Shapes).
- Annotation Tools: Supports real-time annotation for training data or region of interest definition.
- Plugin Integration: Works seamlessly with popular bioimage analysis plugins like Cellpose and StarDist.
- Headless Export: Allows for automated screenshot generation in non-GUI environments.
- Use Case: Reviewing segmentation masks generated by Cellpose, overlaying multiple fluorescent channels, or annotating cell boundaries for machine learning models.
Quick Start
Open a napari viewer with a sample image and add it as an image layer.
Dependency Matrix
Required Modules
naparinumpyscikit-image
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: napari-image-viewer Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#napari-image-viewer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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