devbio-napari 0.4.0

A bundle of napari plugins useful for 3D+t image processing and analysis for studying developmental biology.

devbio-napari

A bundle of napari plugins useful for 3D+t image processing and analysis for studying developmental biology.

• File input/output plugins
  • napari-itk-io
  • ome-zarr
• Image exploration and visualization tools
  • animation
  • curtain
  • napari-3d-ortho-viewer
  • folder-browser
• Image processing
  • RedLionfish
  • pyclesperanto-assistant
  • simpleitk-image-processing
• Image segmentation plugins
  • cellpose
  • accelerated-pixel-and-object-classification
  • pyclesperanto-assistant
  • segment-blobs-and-things-with-membranes
  • simpleitk-image-processing
• Image registration
  • PlatyMatch
• Quantitative measurements
  • scikit-image regionprops
  • plot-profile
  • clusters-plotter
  • pyclesperanto-assistant
  • simpleitk-image-processing
• Utilities
  • brightness-contrast
  • plugin-search
  • crop
  • tabu
  • workflow-optimizer

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

Installation

You can install devbio-napari via conda and pip. If you have never used conda before, please read this guide first:

conda create --name devbio-napari-env python=3.9
conda activate devbio-napari-env
conda install -c conda-forge pyopencl==2021.2.6 hdbscan
pip install devbio-napari

Mac-users please also install this:

conda install -c conda-forge ocl_icd_wrapper_apple

Afterwards, run this command from the command line

devbio-napari

This window should open. It shows the Assistant graphical user interface. Read more about how to use it in its documentation.

Troubleshooting

In case installation didn't work in the first attempt, you may have to call this command line to reset the napari configuration:

napari --reset

Contributing

Contributions are very welcome. If you want to suggest a new napari plugin to become part of this distribution, please make sure it interoperates nicely with the other plugins. For example, if the plugin you suggest provided cell segmentation algorithms, please check if the resulting segmented cells can be analysed using napari-skimage-regionprops. Furthermore, please make sure the README of the plugin you are proposing comes with user documentation, e.g. a step-by-step guide with screenshots explaining what users can do with the plugin and how to use it. It is recommended to provide example data as well so that end-users can try out the plugin under conditions it was developed for.

License

Distributed under the terms of the BSD-3 license, "devbio-napari" is free and open source software

Issues

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