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Related Experiment Video

Updated: Feb 10, 2026

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans
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The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset.

Matthieu Chourrout1, Andrew Keenlyside1, Eric Wanjau1,2

  • 1Department of Mechanical Engineering, University College London, Gower Street, London, WC1E 6BT, United Kingdom.

Biorxiv : the Preprint Server for Biology
|February 9, 2026
PubMed
Summary
This summary is machine-generated.

We created a high-resolution 7.72 µm/voxel human brain dataset using Hierarchical Phase-Contrast Tomography (HiP-CT). This resource enables detailed 3D neuroanatomy exploration, advancing quantitative neuroanatomy and circuit mapping.

Keywords:
magnetic resonance imagingneurovascularreferencewhite matterx-ray tomography

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Biophysics

Background:

  • Existing human brain datasets lack sufficient resolution for detailed microstructural analysis.
  • Bridging the gap between MRI (100 µm) and histology (≤20 µm) is crucial for multiscale brain research.

Purpose of the Study:

  • To present a novel, isotropic 7.72 µm/voxel post-mortem human brain dataset.
  • To enable detailed 3D visualization and analysis of neuroanatomical structures.
  • To provide open-source tools for data exploration and analysis.

Main Methods:

  • Acquisition using Hierarchical Phase-Contrast Tomography (HiP-CT) at the ESRF Extremely Brilliant Source (beamline BM18).
  • Utilizing X-ray phase shifts for contrast generation.
  • Development of open-source workflows for data handling and analysis.

Main Results:

  • Generation of a high-resolution (7.72 µm/voxel) isotropic human brain dataset.
  • Rich 3D visualization of white-matter bundles, microvasculature, and sub-nuclei.
  • Demonstration of vasculature tracing, nuclei segmentation, and white matter orientation analysis.

Conclusions:

  • The HiP-CT dataset provides a transformative resource for quantitative neuroanatomy and circuit mapping.
  • Open-source workflows facilitate global access to next-generation multiscale brain imaging.
  • This dataset is vital for validating clinical imaging techniques and advancing neuroscience research.