Skip to main content

Brainways

Project description

Brainways

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 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 modules. brainways.ui contains the GUI implementation as a napari plugin. brainways.ui 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, "brainways" is free and open source software

Issues

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brainways-0.1.15.tar.gz (6.4 MB view details)

Uploaded Source

Built Distribution

brainways-0.1.15-py3-none-any.whl (539.3 kB view details)

Uploaded Python 3

File details

Details for the file brainways-0.1.15.tar.gz.

File metadata

  • Download URL: brainways-0.1.15.tar.gz
  • Upload date:
  • Size: 6.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for brainways-0.1.15.tar.gz
Algorithm Hash digest
SHA256 2054d8dfc5ae7ede9ba240eb7354b8526085d3a165765ddf2739b2ceaf824266
MD5 eedd6ce366ccc3ed4ef29fcaa0fd06fb
BLAKE2b-256 878ef44348a894898d2a81d4bd18e52be6da40491358902515ca7ad059d3d784

See more details on using hashes here.

File details

Details for the file brainways-0.1.15-py3-none-any.whl.

File metadata

  • Download URL: brainways-0.1.15-py3-none-any.whl
  • Upload date:
  • Size: 539.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for brainways-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 a333d4727c8b200a3e96a335c4093f9498d5e88a4ededde3c60a2e42933be95d
MD5 7acec2ed86ab35b4adeabba62a665eb5
BLAKE2b-256 ed0b7d996a541064a91fb234e72f74fa3d00f96255df0abf9c12692d1bdcbbc3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page