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Since October 1, 2024, this version is no longer actively maintained and will not be updated.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

Cryo-FIB/SEM Image Stacks Post-Processing

napari-cryofibsem-imgproc

A napari plugin for artifact removal, noise reduction, contrast enhancement and stack brightness correction of Cryo-FIB/SEM image stacks.

License Apache Software License 2.0 PyPI Python Version tests codecov napari hub

A napari plugin for artifact removal, noise reduction, contrast enhancement and stack brightness correction of Cryo-FIB/SEM image stacks.


This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Installation

It is recommended to create a fresh [conda] environment with Python 3.12 and napari:

conda create -n imgproc-env -c conda-forge python=3.12.0 napari pyqt

You can install napari-cryofibsem-imgproc via pip:

pip install napari-cryofibsem-imgproc

To install latest development version :

pip install git+https://github.com/EMCRUMC/napari-cryofibsem-imgproc.git

Usage

Cryo-FIB/SEM Image Processing offers 5 functions: curtaining artifact removal, charging artifact removal, noise reduction, contrast enhancement, and stack brightness correction. Using the widgets, the user can choose the input image or stack, set the function parameters, and call the function. These functions can be used in sequence with each other or individually, depending on the image processing requirements.

widget.png

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 Apache Software License 2.0 license, "napari-cryofibsem-imgproc" is free and open source software

Issues

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

Version:

  • 0.0.3

Last updated:

  • 19 November 2024

First released:

  • 20 September 2024

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

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

Python versions supported:

Operating system:

Requirements:

  • numpy==1.26.4
  • magicgui
  • scikit-image==0.24.0
  • PyWavelets==1.6.0
  • opencv-python==4.10.0.84