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一种与连续扫描电子显微镜兼容的用于脑图谱绘制的便捷全细胞光学成像方法。

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

作者信息

Wang Tianyi, Shi Peiyao, Luo Dingsan, Guo Jun, Liu Hui, Yuan Jinyun, Jin Haiqun, Wu Xiaolong, Zhang Yueyi, Xiong Zhiwei, Zhu Jinlong, Zhou Renjie, Zhang Ruobing

机构信息

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

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

出版信息

Brain Sci. 2023 Apr 24;13(5):711. doi: 10.3390/brainsci13050711.

DOI:10.3390/brainsci13050711
PMID:37239183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10216590/
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.

摘要

哺乳动物的大脑结构复杂,给旨在了解其内部运作机制的研究人员带来了巨大挑战。光学多层干涉断层扫描(OMLIT)是一种新颖且有前景的成像技术,它能够绘制和重建中尺度全细胞脑图谱,并且与基于胶带的连续扫描电子显微镜(SEM)无缝兼容,可用于同一组织的微观尺度绘图。然而,目前OMLIT存在涂层不完善的问题,导致背景噪声和图像污染。在本研究中,我们引入了一种使用碳喷涂的新成像配置,以消除胶带涂层步骤,从而降低噪声并提高成像质量。我们通过相关光电子成像工作流程展示了改进后的成像质量,并验证了其适用性。我们的方法成功地重建了一个大型OMLIT数据集中的所有细胞和血管系统,实现了基本的形态学分类和分析。我们还表明,这种方法在较厚的切片上也能有效执行,将其适用性扩展到亚微米尺度切片,节省了样品制备和成像时间,并提高了成像通量。因此,这种方法成为高速、高通量脑组织重建和分析的一个有前途的候选方法。我们的研究结果为利用OMLIT图像探索大脑的结构和功能开辟了新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/cfb2d4850372/brainsci-13-00711-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/13655d58bdea/brainsci-13-00711-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/e4cac717b812/brainsci-13-00711-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/7247832bfb5c/brainsci-13-00711-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/3732fa2ad6d3/brainsci-13-00711-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/0656fa77891d/brainsci-13-00711-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/cc59ad7417d0/brainsci-13-00711-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/bae38742fece/brainsci-13-00711-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/cfb2d4850372/brainsci-13-00711-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/13655d58bdea/brainsci-13-00711-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/e4cac717b812/brainsci-13-00711-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/7247832bfb5c/brainsci-13-00711-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/3732fa2ad6d3/brainsci-13-00711-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/0656fa77891d/brainsci-13-00711-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/cc59ad7417d0/brainsci-13-00711-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/bae38742fece/brainsci-13-00711-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75f7/10216590/cfb2d4850372/brainsci-13-00711-g008.jpg

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