Interactive visualization of spatial omics data
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Updated
Sep 8, 2026 - Python
Interactive visualization of spatial omics data
A napari plugin for clustering objects according to their properties.
Feature extraction for labeled objects in images using regionprops from scikit-image
A napari plugin for zarr backed OME-NGFF images
Discover, install, and share napari plugins
GPU-accelerated, OpenCL-based Random Forest Classifiers for pixel and labeled object classification in napari.
Linking napari layers with Matplotlib plots
StarDist plugin for napari
🔬 MCP server for AI-powered napari control. Connect Claude, ChatGPT, Cursor, and other LLMs to napari for interactive image analysis. Perfect for automating microscopy workflows and building intelligent image analysis tools.
Browse your OMERO database from within napari.
Panoptic segmentation algorithms for 2D and 3D electron microscopy in napari
GPU-accelerated general purpose image processing and image analysis in napari
A plugin based on scikit-image for segmenting nuclei and cells based on fluorescent microscopy images with high intensity in nuclei and/or membranes.
Python-based Human-In-the-LOop Workflow: PHILOW is an interactive deep learning-based platform for 3D datasets
Automated batch processing of cell and tissue microscopy image data in Napari
Efficient cell detection in large images using cellfinder in napari
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