The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset

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Authors: Matthieu Chourrout, Andrew Keenlyside, Eric Wanjau, Yaël Balbastre, Ekin YAGIS, Joseph Brunet, David Stansby, Klaus Engel, Xiaoyun Gui, Julia Thönnißen, Dickscheid Timo, Laurent Lamalle
+5 more Alexandre Bellier, Umesh Vivekananda, Paul Tafforeau, Peter Lee, Claire Walsh
Cited by: 2
References: 51

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.

Fields of Study & Subjects

Advanced X-ray Imaging Techniques Advanced Electron Microscopy Techniques and Applications Advanced Neuroimaging Techniques and Applications

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
28 January 2026
Language
EN
Document type
Preprint