napari-image-viewer

Community

Visualize 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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