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Overview#

DOI License GNU GPL v3.0 PyPI Python Version tests codecov Documentation Status napari hub

What Is Brainways?#

Brainways is an AI-based tool for automated registration, quantification and generation of brain-wide activity networks based on fluorescence in coronal slices.

Brainways UI

Why Brainways?#

Coronal slice registration, cell quantification and whole-brain contrast analysis between experimental conditions should be made easily accessible from a single software, without requiring programming experience. Customization should be made easy by having a highly flexible pythonic backend.

Getting Started#

To install and run brainways, run the following in your python environment:

pip install napari-brainways
brainways ui

Follow our getting started guide for more details.

How it works#

Brainways allows users to register, quantify and provide statistical contrast analysis by following several simple steps:

  1. Rigid registration of coronal slices to a 3D atlas.
  2. Non-rigid registration of coronal slices to a 3D atlas, to account for individual difference and imperfections in acquisition procedure.
  3. Cell detection (using StarDist).
  4. Quantification of cell counts per brain region.
  5. Statistical analysis:
    • ANOVA contrast analysis.
    • PLS (Partial Least Square) analysis.
    • Network graph creation.

Architecture#

Brainways is implemented as three python packages. napari-brainways contains the GUI implementation as a napari plugin. napari-brainways is using brainways as its backend. All of the functionality is implemented in the brainways package. This separation was done to guarantee that brainways is a GUI-agnostic software, and can be fully accessed and manipulated through python code to allow custom complex usage scenarios. The code that was used to train, evaluate and run the automatic registration model resides in brainways-reg-model.

Development Status#

Brainways is being actively developed by Ben Kantor of Bartal lab, Tel Aviv University, Israel. Our releases can be found here.

Citation#

If you use brainways, please cite Kantor and Bartal (2023):

@article{kantor2023brainways,
  title={Brainways: An Open-Source AI-based Software For Registration and Analysis of Fluorescent   Markers on Coronal Brain Slices},
  author={Kantor, Ben and Ben-Ami Bartal, Inbal},
  journal={bioRxiv},
  pages={2023--05},
  year={2023},
  publisher={Cold Spring Harbor Laboratory}
}

License#

Distributed under the terms of the GNU GPL v3.0 license, "napari-brainways" is free and open source software

Issues#

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