A Convenient All-Cell Optical Imaging Method Compatible with Serial SEM for Brain Mapping

Author:

Wang Tianyi12,Shi Peiyao2,Luo Dingsan2,Guo Jun3,Liu Hui2,Yuan Jinyun2,Jin Haiqun3,Wu Xiaolong3,Zhang Yueyi3,Xiong Zhiwei3,Zhu Jinlong4,Zhou Renjie5,Zhang Ruobing123

Affiliation:

1. School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou 215163, China

2. Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China

3. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China

4. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

5. Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China

Abstract

The mammalian brain, with its complexity and intricacy, poses significant challenges for researchers aiming to understand its inner workings. Optical multilayer interference tomography (OMLIT) is a novel, promising imaging technique that enables the mapping and reconstruction of mesoscale all-cell brain atlases and is seamlessly compatible with tape-based serial scanning electron microscopy (SEM) for microscale mapping in the same tissue. However, currently, OMLIT suffers from imperfect coatings, leading to background noise and image contamination. In this study, we introduced a new imaging configuration using carbon spraying to eliminate the tape-coating step, resulting in reduced noise and enhanced imaging quality. We demonstrated the improved imaging quality and validated its applicability through a correlative light–electron imaging workflow. Our method successfully reconstructed all cells and vasculature within a large OMLIT dataset, enabling basic morphological classification and analysis. We also show that this approach can perform effectively on thicker sections, extending its applicability to sub-micron scale slices, saving sample preparation and imaging time, and increasing imaging throughput. Consequently, this method emerges as a promising candidate for high-speed, high-throughput brain tissue reconstruction and analysis. Our findings open new avenues for exploring the structure and function of the brain using OMLIT images.

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences Project for Young Scientists in Basic Research

Publisher

MDPI AG

Subject

General Neuroscience

Reference73 articles.

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