heifetslabunravel 1.0.0b9
UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images
UNRAVEL is a Python package & command line tool for the analysis of brain-wide imaging data, automating:
Registration of brain-wide images to a common atlas space
Quantification of cell/label densities across the brain
Voxel-wise analysis of fluorescent signals and cluster correction
Validation of hot/cold spots via cell/label density quantification at cellular resolution
UNRAVEL can be installed via PyPI: pip install heifetslab-unravel
Initial UNRAVEL publication
UNRAVEL was developed by the Heifets lab and TensorAnalytics
Additional support/guidance was provided by:
The Shamloo lab
The Malenka lab
The Stanford-based P50 center funded by NIDA
Please see UNRAVEL documentation for guides on installation and analysis
UNRAVEL visualizer
UNRAVEL visualizer is a web-based tool for visualizing and exploring 3D maps output from UNRAVEL
UNRAVEL visualizer GitHub repo
Developed by MetaCell with support from the Heifets lab
Contact us
If you have any questions, suggestions, or are interested in collaborations and contributions, please reach out to us.
Developers
Daniel Ryskamp Rijsketic (developer and maintainer) - danrijs@stanford.edu
Austen Casey (developer) - abcasey@stanford.edu
MetaCell (UNRAVEL visualizer developers) - info@metacell.us
Boris Heifets (PI) - bheifets@stanford.edu
Additional contributions from
Mehrdad Shamloo (PI) - shamloo@stanford.edu
Daniel Barbosa (early contributer and guidance) - Dbarbosa@pennmedicine.upenn.edu
Wesley Zhao (guidance) - weszhao@stanford.edu
Nick Gregory (guidance) - ngregory@stanford.edu
Main dependencies
Allen Institute for Brain Science
FSL
fslpy
ANTsPy
Ilastik
nibabel
numpy
scipy
pandas
cc3d
Registration and warping workflows were inspired by MIRACL
We warped this LSFM/iDISCO+ average template brain to Allen brain atlas space (CCFv3) and refined alignment.
Support is welcome for
Analysis of new datasets
Development of new features
Maintenance of the codebase
Guidance of new users
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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