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Updated: Aug 2, 2025
Micron-scale Resolution Optical Tomography of Entire Mouse Brains with Confocal Light Sheet Microscopy
Published on: October 8, 2013
Merged magnetic resonance and light sheet microscopy of the whole mouse brain
G Allan Johnson1, Yuqi Tian1, David G Ashbrook2
1Center for In Vivo Microscopy, Duke University, Durham, NC 27710.
Abstract:
We have developed workflows to align 3D magnetic resonance histology (MRH) of the mouse brain with light sheet microscopy (LSM) and 3D delineations of the same specimen. We start with MRH of the brain in the skull with gradient echo and diffusion tensor imaging (DTI) at 15 μm isotropic resolution which is ~ 1,000 times higher than that of most preclinical MRI. Connectomes are generated with superresolution tract density images of ~5 μm. Brains are cleared, stained for selected proteins, and imaged by LSM at 1.8 μm/pixel. LSM data are registered into the reference MRH space with labels derived from the ABA common coordinate framework. The result is a high-dimensional integrated volume with registration (HiDiver) with alignment precision better than 50 µm. Throughput is sufficiently high that HiDiver is being used in quantitative studies of the impact of gene variants and aging on mouse brain cytoarchitecture and connectomics.
Insights
We created a novel method to precisely align 3D magnetic resonance histology with light sheet microscopy data for mouse brains. This high-resolution integrated volume enables detailed studies of brain structure and connectivity.
Area of Science:
- Neuroscience
- Biomedical Imaging
- Computational Biology
Background:
- High-resolution 3D brain imaging is crucial for understanding neuroanatomy and function.
- Existing methods struggle to integrate data from different imaging modalities with sufficient precision.
- Accurate alignment of multi-modal brain data is essential for quantitative analysis.
Purpose of the Study:
- To develop and validate a workflow for aligning 3D magnetic resonance histology (MRH) with light sheet microscopy (LSM) data of the mouse brain.
- To create a high-dimensional integrated volume (HiDiver) for comprehensive analysis of brain cytoarchitecture and connectomics.
- To enable quantitative studies on the effects of genetic variations and aging on brain structure.
Main Methods:
- Acquired MRH of intact mouse brains using gradient echo and diffusion tensor imaging (DTI) at 15 μm resolution.
- Generated super-resolution tract density images (~5 μm) for connectome reconstruction.
- Cleared, stained, and imaged cleared brains using LSM (1.8 μm/pixel).
- Registered LSM data into the MRH space using ABA common coordinate framework labels.
- Developed the HiDiver workflow for precise multi-modal data integration.
Main Results:
- Achieved alignment precision better than 50 μm between MRH and LSM datasets.
- Generated connectomes with ~5 μm resolution.
- The HiDiver workflow demonstrated high throughput for quantitative analysis.
- Successfully integrated MRH and LSM data into a unified 3D volume.
Conclusions:
- The developed HiDiver workflow enables precise multi-modal 3D brain data integration.
- This approach significantly advances the capability for high-resolution mouse brain cytoarchitecture and connectomics research.
- HiDiver is a powerful tool for investigating the impact of genetic and age-related changes on brain structure and connectivity.
