A collection of napari plugins useful for studying developmental biology
A collection of napari plugins useful for studying developmental biology.
- File input/output plugins
- Image exploration and visualization tools
- Image segmentation plugins
- Image registration
- Quantitative measurements
You can install
devbio-napari via pip:
conda install -c conda-forge pyopencl jupyter notebook pip install devbio-napari
Windows users should install pyopencl via conda in advance:
conda install -c conda-forge pyopencl
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.
Distributed under the terms of the BSD-3 license, "devbio-napari" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.
- 16 October 2021
- 08 June 2021
- 3 - Alpha
- Stars: 4
- Forks: 0
- Issues + PRs: 0
Python versions supported:
- OS Independent
- napari-plugin-engine (>=0.1.4)