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.
Authors
- Peter Lee
- Ekin YAGIS
- Klaus Engel (ORCID: https://orcid.org/0009-0001-1423-898X)
- Eric Wanjau
- Matthieu Chourrout
- Claire Walsh (ORCID: https://orcid.org/0000-0003-3769-3392)
- Alexandre Bellier (ORCID: https://orcid.org/0000-0003-0907-0315)
- Umesh Vivekananda (ORCID: https://orcid.org/0000-0001-6116-2335)
- Dickscheid Timo
- Yaël Balbastre
- Joseph Brunet
- David Stansby
- Xiaoyun Gui
- Andrew Keenlyside
- Paul Tafforeau
- Julia Thoennissen
Institutions
- 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)
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
- 0.00