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Since October 1, 2024, this version is no longer actively maintained and will not be updated.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.

Embryo Segmentation

segment-embryo

3D Segment ascidian embryos using cellpose. The images are first rescaled to be isotropic and then downscaled, before cellpose is used. The resulting labels are upscaled to match the original data.

Workflow step:
Image annotation
Image segmentation

License MIT PyPI Python Version tests codecov napari hub

3D Segment ascidian embryos using cellpose. The images are first rescaled to be isotropic and then downscaled, before cellpose is used. The resulting labels are upscaled to match the original data.


This napari plugin was generated with copier using the napari-plugin-template.

Installation

You can install segment-embryo via pip:

pip install segment-embryo

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the MIT license, "segment-embryo" is free and open source software

Issues

If you encounter any problems, please [file an issue] along with a detailed description.

Version:

  • 0.3

Last updated:

  • 27 November 2024

First released:

  • 27 November 2024

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

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

Python versions supported:

Operating system:

Requirements:

  • numpy
  • magicgui
  • qtpy
  • scikit-image
  • cellpose
  • czifile
  • napari-czifile2
  • set-calibration
  • big-fish
  • napari-bigfish
  • scikit-image