Skip to content

Napari with OME-Zarr Support

Napari is a fast, interactive, multi-dimensional image viewer for Python, enhanced here with full OME-Zarr support for handling large, multi-dimensional datasets.

Overview

This environment provides napari with all necessary dependencies for OME-Zarr support, making it ideal for viewing and analyzing large-scale bio image datasets stored in the OME-Zarr format.

Environment

Environment: napari-ome-zarr

Available Tasks

Start Napari

Launch the napari viewer with OME-Zarr support:

pixi run napari

Plugins Included

  • napari-ome-zarr-navigator: Navigate through OME-Zarr datasets efficiently
  • napari-ome-zarr: Core OME-Zarr support for napari
  • napari-feature-classifier: Classify features in your images
  • napari-feature-visualization: Visualize extracted features
  • napari-animation: Create animations from your multi-dimensional data

Features

  • Multi-dimensional viewing: Handle 2D, 3D, and higher-dimensional datasets
  • OME-Zarr native support: Seamlessly open and navigate OME-Zarr files
  • Interactive visualization: Real-time exploration of large datasets
  • Plugin ecosystem: Extended functionality through the included plugins
  • Layer-based approach: Organize different data types in separate layers
  • Annotation tools: Built-in tools for manual annotation and measurement

Getting Started

  1. Make sure you have pixi installed and this repository cloned
  2. Navigate to the repository directory
  3. Run pixi run napari to start the napari viewer
  4. Open your OME-Zarr datasets and start exploring!

Use Cases

  • Large dataset visualization: View multi-terabyte OME-Zarr datasets efficiently
  • Multi-channel analysis: Analyze multi-channel fluorescence images
  • Time-series data: Navigate through time-lapse datasets
  • 3D visualization: Explore volumetric data with interactive 3D rendering
  • Feature analysis: Use the feature plugins for quantitative analysis

Resources