High-throughput light-sheet 3D microscopy of whole rodent brain microstructure for integration with MRI
Jenna M. HanmeriD, Francesco D'AntonioiD, J.P Manzano-PatroniD, Stephania AssimopoulosiD, Sydney C. Wood, Mohamed TachrountiD, Qijia SheniD, Martin CraigiD, Cyril Lai, Graham J. HickmaniD, Edalat RadfariD, Kim I. ChisholmiD, Tracy D. FarriD, Alan JasanoffiD, Anna Hoerder‐SuabedisseniD, Zoltán MolnáriD, Clémence LigneuliD, Cristiana TiscaiD, Saâd JbabdiiD, Amy F.D. HowardiD, Karla L. MilleriD, Elizabeth de Guzman, Jason P. LerchiD, Stamatios N. SotiropoulosiD
Abstract
Whole-brain cellular mapping is essential for understanding how cellular architecture shapes brain organisation and function. Magnetic Resonance Imaging (MRI) provides whole-brain coverage but is only indirectly sensitive to cellular features, motivating integration with microscopy to improve the interpretation and specificity of microstructural MRI. Here, we present a scalable cross-resolution framework integrating 3D light-sheet microscopy (LSM) of intact rodent brains with diffusion MRI (dMRI) to bridge cellular and macroscopic brain imaging. By combining active tissue clearing and immunolabelling with accelerated LSM acquisition, we achieve multiplexed mapping of neuronal and glial populations across the whole brain on timescales comparable to conventional histology. We apply this framework across eight genetically diverse mouse strains to develop predictive models of microscopy-derived cellular features from multi-shell dMRI contrasts. Data-driven combinations of dMRI contrasts predicted neuronal and astrocytic features better than individual contrasts across animals. This framework enables scalable integration of MRI and 3D LSM, providing a means to identify cellular determinants of MRI contrast and guide the development and interpretation of microstructural MRI measures ultimately translatable to the living human brain.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Restoring morphology of light sheet microscopy data based on magnetic resonance histology
Yuqi Tian, James J. H. Cook, G. Allan Johnson·Frontiers in NeurosciencePeer-reviewed·Jan 4, 2023
- HiDiver: A Suite of Methods to Merge Magnetic Resonance Histology, Light Sheet Microscopy, and Complete Brain Delineations
G. Allan Johnson, Yuqi Tian, … Robert W. Williams·bioRxiv·Feb 10, 2022
- Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution
Hao Wang, Qingyuan Zhu, … Guo‐Qiang Bi·National Science ReviewPeer-reviewed·Apr 15, 2019
- High-resolution MRI Guided Whole Mouse Brain Cell Type Atlas using Deep Learning
Xinyue Han, Rui Hu, … Nian Wang·bioRxiv·Nov 25, 2025
- An Open Resource: MR and light sheet microscopy stereotaxic atlas of the mouse brain
Harrison Mansour, Ryan Azrak, … G. Allan Johnson·bioRxiv·Mar 28, 2024
- ClearScope: a fully integrated light sheet theta microscope for sub-cellular resolution imaging without lateral size constraints
Matthew G. Fay, Peter J. Lang, … Jacob R. Glaser·bioRxiv·Aug 15, 2024