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Since October 1, 2024, this version is no longer actively maintained and will not be updated.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

dmc_brainmap

napari-dmc-brainmap

DMC-BrainMap is an end-to-end tool for multi-feature brain mapping across species

DMC-BrainMap is an end-to-end tool for multi-feature brain mapping across species.
This napari plugin was generated with Cookiecutter using napari's cookiecutter-napari-plugin template.

License BSD-3 PyPI Python Version codecov napari hub

Documentation

Documentation on DMC-BrainMap's source code can be found on the project's Read the Docs page.

Installation

DMC-BrainMap is a plugin for napari. To install napari, we recommend to install napari into a clean virtual environment using conda or venv. Please refer to the napari installation guide for more information.

Step 1: Setup the virtual environment (Python 3.10)

conda create -y -n napari-env -c conda-forge python=3.10
conda activate napari-env

Step 2: Install napari

python -m pip install "napari[all]"

Step 3: Install napari-dmc-brainmap

You can install napari-dmc-brainmap via the napari plugin manager or via pip:

pip install napari-dmc-brainmap

Usage

Please refer to the user-guide/DMC-BrainMap-User-Guide.pdf for detailed instructions on how to use DMC-BrainMap.

Seeking help or contributing

DMC-BrainMap is an open-source project, and we welcome contributions of all kinds. If you have any questions, feedback, or suggestions, please feel free to open an issue on this repository.

License

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

Citing DMC-BrainMap

TBA

Version:

  • 0.1.7b2

Last updated:

  • 10 April 2025

First released:

  • 18 February 2025

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

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

Python versions supported:

Operating system:

Requirements:

  • numpy==1.26.4
  • pandas==2.0.1
  • matplotlib==3.8.3
  • seaborn==0.12.2
  • scikit-learn==1.4.1.post1
  • scikit-image==0.22.0
  • scikit-spatial==7.2.0
  • tifffile==2023.2.28
  • magicgui==0.8.1
  • qtpy==2.4.1
  • opencv-python==4.9.0.80
  • natsort==8.4.0
  • imagecodecs==2024.1.1
  • mergedeep==1.3.4
  • aicsimageio==4.14.0
  • aicspylibczi==3.1.2
  • aicssegmentation==0.5.3
  • distinctipy==1.3.4
  • bg_atlasapi==1.0.2
  • shapely==2.0.1