dmc_brainmap
Image analysis pipeline for quantification of 2D mouse brain anatomical tracing data
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.
Documentation¶
TBA
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
Supported data:
- Information not submitted
Plugin type:
GitHub activity:
- Stars: 0
- Forks: 0
- Issues + PRs: 0
GitHub activity:
- Stars: 0
- Forks: 0
- Issues + PRs: 0
Python versions supported:
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