The napari hub is transitioning to a community-run implementation due to launch in June 2025.
Since October 1, 2024, this version is no longer actively maintained and will not be updated. New plugins and plugin updates will continue to be listed.

Napari-EpySeg

napari-epyseg

Napari plugin to segment epithelia with EpySeg

Workflow step:
Image segmentation

Plugin to run EpySeg directly in Napari. Can handle temporal data (movie) or single time point (image).

Installation

To install it from Napari, go into the Plugins menu, select Install/Uninstall Plugins.. and look for napari-epyseg in the plugins list.

To install it directly outside of napari, create/reuse and activate a python environement, e.g epyseg_env and install it with pip:

pip install napari-epyseg

Usage

In Napari, go to Plugins>napari-epyseg to start it. It will open an interface in the left part of the main window.

interface_image

You must select the layer (image or movie, single color channel) on which to run EpySeg. For this, in the Pick an Image parameter, select the corresponding layer (you should open the image/movie independantly of the plugin).

To run EpySeg with default parameters, press directly Segment once you have selected the image. When processing is finished, a new layer called Segmentation will be added in the right panel of the interface. You can save the result with the Save segmentation button that appears on the left part of the interface. Choose where to save the file and the file name with the Segmentation filename parameter, and click the button to save it.

results_image

Remark

This plugin was tested on python 3.10, with epyseg version 0.1.52, napari version 0.4.19

License

This plugin is distributed under the BDS-3 license

Version:

  • 0.0.4

Last updated:

  • 13 February 2025

First released:

  • 12 February 2025

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 2
  • Forks: 0
  • Issues + PRs: 0

Python versions supported:

Operating system:

Requirements:

  • epyseg
  • napari<=0.4.19
  • numpy
  • magicgui
  • tifffile<=2021.11.2
  • pillow