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Extremely Brilliant Brain 🩻🧠✨

Supplementary material for the release of the “Extremely Brilliant Brain” (EBB), a 7.72 μm/voxel 3D volume of a whole adult human brain acquired using Hierarchical Phase-Contrast Tomography (HiP-CT)[see note].

Preprint

The associated manuscript is available as a preprint on bioRxiv: https://www.biorxiv.org/content/10.64898/2026.01.27.702076

Dataset

The data (EBB & MRI) can be downloaded from the BioImage Archive (BIA)[see note] following the Brain Imaging Data Structure (BIDS) specification[see note]: https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BIAD1939

The EBB data itself can be downloaded from the Human Organ Atlas (HOA) data portal[see note] as series of JPEG2000 files at different voxel sizes: https://human-organ-atlas.esrf.fr/datasets/2270234369

The data is also replicated on a Google Cloud Storage[see note] bucket for streaming to Neuroglancer[see note]. Some files had to be converted to a format that is compatible with Neuroglancer, using the scripts that are provided.

Interactive figures

Interactive figures are available in the subfolder.

Scripts

The Python scripts are available in the subfolder.

Besides, this work has required the use of a few Python tools:

Repository Usecase
stack-to-chunk Conversion of a series of 2D images to a 3D volume stored as an OME-Zarr
ngregister Register with an affine transform using a set of hotkeys within Neuroglancer (optimal for large multiscale dataset)
cardiotensor Compute the structure tensor field in a 3D volume
ngretrieve Download a crop of the dataset that can be picked with a Neuroglancer annotation layer
ngpointstobox Change a set of annotations into one annotation that is their bounding box in a Neuroglancer state
ngvolbox Replace a volume layer with an annotation layer that is its bounding box
segment_properties_for_neuroglancer Generate the segmentation properties for the Neuroglancer precomputed format to add metrics and a colormap to the segmentation layer
freesurfer Suite of processing tools for 3D imaging data, initially focused on MRI and the NIfTI file format
FastSurfer Deep learning-enabled segmentation toolbox
hippunfold Hippocampus parcellation toolbox
tiff_to_nifti Convert a TIFF file to a NIfTI file with the necessary header

License

This work is licensed under Creative Commons Attribution 4.0 International.

A copy of the license is available in the repository.


Notes

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Supplementary material for the release of the “Extremely Brilliant Brain”

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