brainreg-napari

Multi-atlas whole-brain microscopy registration


Python Version PyPI Wheel Development Status Code style: black

Napari plugin to run brainreg, developed by Stephen Lenzi.

Installation

pip install brainreg-napari

Usage

Documentation for the plugin is to come, but documentation for the original brainreg can be found here and a tutorial is here.

For segmentation of bulk structures in 3D space (e.g. injection sites, Neuropixels probes), please see brainreg-segment.

This software is at a very early stage, and was written with our data in mind. Over time we hope to support other data types/formats. If you have any issues, please get in touch on the forum or by raising an issue.

Details

brainreg is an update to amap (itself a port of the original Java software) to include multiple registration backends, and to support the many atlases provided by bg-atlasapi.

The aim of brainreg is to register the template brain (e.g. from the Allen Reference Atlas) to the sample image. Once this is complete, any other image in the template space can be aligned with the sample (such as region annotations, for segmentation of the sample image). The template to sample transformation can also be inverted, allowing sample images to be aligned in a common coordinate space.

To do this, the template and sample images are filtered, and then registered in a three step process (reorientation, affine registration, and freeform registration.) The resulting transform from template to standard space is then applied to the atlas.

Full details of the process are in the original aMAP paper. reg_process Overview of the registration process

Contributing

Contributions to brainreg-napari are more than welcome. Please see the contributing guide.

Citing brainreg

If you find brainreg useful, and use it in your research, please let us know and also cite the paper:

Tyson, A. L., Vélez-Fort, M., Rousseau, C. V., Cossell, L., Tsitoura, C., Lenzi, S. C., Obenhaus, H. A., Claudi, F., Branco, T., Margrie, T. W. (2022). Accurate determination of marker location within whole-brain microscopy images. Scientific Reports, 12, 867 doi.org/10.1038/s41598-021-04676-9

Please also cite aMAP (the original pipeline from which this software is based):

Niedworok, C.J., Brown, A.P.Y., Jorge Cardoso, M., Osten, P., Ourselin, S., Modat, M. and Margrie, T.W., (2016). AMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. Nature Communications. 7, 1–9. https://doi.org/10.1038/ncomms11879

Lastly, if you can, please cite the BrainGlobe Atlas API that provided the atlas:

Claudi, F., Petrucco, L., Tyson, A. L., Branco, T., Margrie, T. W. and Portugues, R. (2020). BrainGlobe Atlas API: a common interface for neuroanatomical atlases. Journal of Open Source Software, 5(54), 2668, https://doi.org/10.21105/joss.02668

Don't forget to cite the developers of the atlas that you used (e.g. the Allen Brain Atlas)!


The BrainGlobe project is generously supported by the Sainsbury Wellcome Centre and the Institute of Neuroscience, Technical University of Munich, with funding from Wellcome, the Gatsby Charitable Foundation and the Munich Cluster for Systems Neurology - Synergy.

Version:

  • 0.0.5rc0

Release date:

  • 29 June 2022

First released:

  • 13 July 2021

License:

  • MIT

Supported data:

  • Information not submitted

GitHub activity:

  • Stars: 5
  • Forks: 3
  • Issues + PRs: 6

Python versions supported:

Operating system:

Requirements:

  • napari
  • napari-plugin-engine (>=0.1.4)
  • napari-ndtiffs
  • brainglobe-napari-io
  • brainreg
  • pooch (>1)

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