SOLID: minimizing tissue distortion for brain-wide profiling of diverse architectures
Brain-wide profiling of diverse biological components is fundamental for understanding complex brain pathology. Despite the availability in whole-brain imaging, it is still challenging to conduct multiplexed, brain-wide analysis with current tissue clearing techniques. Here, we propose SOLID, a hydrophobic tissue clearing method that can minimize tissue distortion while offering impressive clearing performance. SOLID achieves high-quality imaging of multi-color labeled mouse brain, and the acquired datasets can be effectively registered to the Allen Brain Atlas via commonly-used algorithms. SOLID enables generation of neural and vascular maps within one mouse brain, as well as tracing of specific neural projections labeled with viruses. SOLID also allows cross-channel investigations of β-amyloid plaques and neurovascular lesions in the reconstructed all-in-one panorama, providing quantitative insights into structural interactions at different stages of Alzheimer's disease. Altogether, SOLID provides a robust pipeline for whole-brain mapping, which may widen the utility of tissue clearing techniques in diverse neuroscience research.
Authors
- Yating Deng
- Jianyi Xu (ORCID: https://orcid.org/0000-0003-4552-8194)
- Jingtan Zhu (ORCID: https://orcid.org/0000-0001-6596-9566)
- Kunxing Liu (ORCID: https://orcid.org/0000-0001-9218-1811)
- Xizhi Meng
- Dan Zhu (ORCID: https://orcid.org/0000-0002-3640-4758)
- Peng Fei (ORCID: https://orcid.org/0000-0003-3764-817X)
- Tingting Yu (ORCID: https://orcid.org/0000-0002-1152-7137)
- Xiaomei Liu (ORCID: https://orcid.org/0000-0002-7011-4009)
- Zhang Liu (ORCID: https://orcid.org/0000-0001-8433-6289)
- Ruiying Zhang (ORCID: https://orcid.org/0000-0002-0092-0814)
Institutions
- Huazhong Agricultural University (CN)
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41467-024-52560-7
- Citations
- 12
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 7.95
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation