1)中国科学院生物物理研究所生物大分子重点实验室,北京 100101;2)中国科学院自动化研究所脑认知与类脑智能重点实验室,微观重建与智能分析团队,北京 100190;3)中国科学院生物物理研究所生物成像中心,北京 100101;4)中国科学院大学未来技术学院,北京 101408;5)中国科学院广州生物医药与健康研究院,广州 510530
国家自然科学基金(32371248),国家自然科学基金重大研究 计划(92254306)和国家杰出青年科学基金(31925026)资助项目。
1)Key Laboratory of Biological Macromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China;2)Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Micro Reconstruction & Intelligent Analysis Team, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;3)Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China;4)School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China;5)Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
This work was supported by grants from The National Natural Science Foundation of China (32371248),Major Research Program Integration Project of National Natural Science Foundation of China (92254306), and National Science Foundation for Distinguished Young Scholars of China (31925026).
电子显微成像技术的快速发展使得对完整细胞、组织乃至整个机体进行高分辨三维结构解析研究成为可能,这些可进行大尺度生物样品三维结构研究的电子显微成像技术统称为体电子显微学技术(volume electron microscopy,vEM)。近年来,vEM在研究尺度、分辨率、吞吐量和易用性等方面发展迅速,在整个生命科学领域的应用呈爆炸式增长,该技术因此被《自然》(Nature)评为2023年最值得关注的七项前沿技术之一。然而,vEM相关技术的发展和应用在国内起步较晚,亟待进一步推广。本综述涵盖了vEM的发展历程、技术分类、样品制备、数据收集、图像处理等全方位的内容,便于生命科学、医学等领域研究人员去了解、学习、应用和进一步发展该技术。
Volume electron microscopy (vEM) imaging technology was rapidly developed in recent years. It has been the advanced technology to solve high-resolution three-dimensional structures of biological samples. Much wonderful work has revealed the fine structure and interactions of intracellular organelles, the ultrastructure of tissues, and even the three-dimensional structure of entire small biological organisms. With the continuous improvement of resolution, scale and throughput, vEM is becoming more and more widely used in medicine, life sciences, clinical diagnostics and other fields. As a result, this technology has been rated by Nature as one of the seven most noteworthy frontier technologies to watch in 2023. However, the development and application of vEM-related technologies started late in China and need to be further promoted. We write this review to introduce all related vEM technologies, covering the development history of vEM, technology classification, sample preparation, data collection, image processing, etc., which is convenient for people in various fields to understand, learn, apply and further develop this technology.
张艳,陈曦,李喜霞,李琳琳,陈联万,韩华,孙飞.综述与专论:体电子显微学前沿[J].生物化学与生物物理进展,2024,51(10):2430-2455
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