The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset

We present an isotropic 7.72 μm/voxel post-mortem human brain dataset acquired using Hierarchical Phase-Contrast Tomography (HiP-CT) at the ESRF Extremely Brilliant Source, beamline BM18. This fills a critical gap between whole-brain MRI at 100 μm resolution and serial-section histological reconstructions at 20 μm or finer. HiP-CT contrast, derived from X-ray phase shifts, enables rich 3D visualisation of complex neuroanatomy including white-matter bundles, microvasculature, and sub-nuclei. We provide open-source workflows for online data exploration, subvolume download, segmentation, and reintegration of analyses into the full dataset. We demonstrate the potential of this resource by tracing vasculature over long distances, segmenting nuclei, and extracting white-matter orientations with 3D structure-tensor analysis. High-resolution human brain datasets are transformative for quantitative neuroanatomy, circuit mapping, and validation of clinical imaging; this openly available resource is a critical step for global access to next-generation multiscale brain imaging.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-01-28
DOI
https://doi.org/10.64898/2026.01.27.702076
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
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article

The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset

Peter Lee, Ekin YAGIS, Klaus Engel, Eric Wanjau et al.
bioRxiv (Cold Spring Harbor Laboratory)
Advanced X-ray Imaging Techniques
article

The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset

Peter Lee, Ekin YAGIS, Klaus Engel, Eric Wanjau, Matthieu Chourrout, Claire Walsh, Alexandre Bellier, Umesh Vivekananda, Dickscheid Timo, Yaël Balbastre, Joseph Brunet, David Stansby, Xiaoyun Gui, Andrew Keenlyside, Paul Tafforeau, Julia Thoennissen
article en

Abstract

We present an isotropic 7.72 μm/voxel post-mortem human brain dataset acquired using Hierarchical Phase-Contrast Tomography (HiP-CT) at the ESRF Extremely Brilliant Source, beamline BM18. This fills a critical gap between whole-brain MRI at 100 μm resolution and serial-section histological reconstructions at 20 μm or finer. HiP-CT contrast, derived from X-ray phase shifts, enables rich 3D visualisation of complex neuroanatomy including white-matter bundles, microvasculature, and sub-nuclei. We provide open-source workflows for online data exploration, subvolume download, segmentation, and reintegration of analyses into the full dataset. We demonstrate the potential of this resource by tracing vasculature over long distances, segmenting nuclei, and extracting white-matter orientations with 3D structure-tensor analysis. High-resolution human brain datasets are transformative for quantitative neuroanatomy, circuit mapping, and validation of clinical imaging; this openly available resource is a critical step for global access to next-generation multiscale brain imaging.

bioRxiv (Cold Spring Harbor Laboratory)
Siemens (Germany) (DE), Inserm (FR), Forschungszentrum Jülich (DE), Centre Hospitalier Universitaire de Grenoble (FR), European Synchrotron Radiation Facility (FR), NIHR Queen Square Dementia Biomedical Research Unit (GB), Grenoble Institute of Neurosciences (FR), National Hospital for Neurology and Neurosurgery (GB), Siemens Healthcare (United States) (US), Siemens Healthineers (Germany) (DE), Heinrich Heine University Düsseldorf (DE), University College London (GB), Imperial College London (GB), Université Grenoble Alpes (FR)
Openalex Percentile: Top 75%
Advanced X-ray Imaging Techniques
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