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相关性多模态成像:建立一个社区。

Correlative multimodal imaging: Building a community.

机构信息

Austrian BioImaging/CMI, Vienna BioCenter Core Facilities GmbH (VBCF), Vienna, Austria.

European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom.

出版信息

Methods Cell Biol. 2021;162:417-430. doi: 10.1016/bs.mcb.2020.12.010. Epub 2021 Jan 19.

Abstract

Few would have thought that when Porter and colleagues used light microscopy to target their cell of interest to be analyzed in the electron microscope in the 1940s, that Correlative Imaging would develop into the thriving field it is today. Even though the first use of Correlative Light Electron Microscopy (CLEM) was established in the 1940s, it is only since the year 2000 that there has been a real surge in the application of CLEM technology. The power of CLEM is recognized in the scientific community as evidenced by the growing number of publications and dedicated sessions at scientific meetings. The field is also broadening, incorporating a multitude of other techniques including preclinical research and diagnostics, and slowly but surely the overarching field of Correlative Multimodality Imaging (CMI) is taking its place as an established technique and a research area in its own right. In this chapter, we will look at the initiatives that are being developed within the scientific world to build a coherent CMI community, with a particular emphasis on the developments in Europe. To achieve this aim, the community will need to design mechanisms for the interdisciplinary exchange of knowledge and benefits, set up training schemes, and develop standards for CMI technology and its data.

摘要

很少有人会想到,当波特(Porter)及其同事在 20 世纪 40 年代使用光学显微镜将他们感兴趣的细胞靶向到电子显微镜中进行分析时,相关成像技术会发展成为今天如此繁荣的领域。尽管相关光学电子显微镜(CLEM)的首次应用可以追溯到 20 世纪 40 年代,但直到 2000 年,CLEM 技术的应用才真正得到了迅猛发展。相关光学电子显微镜(CLEM)的应用越来越广泛,包括临床前研究和诊断等多个领域,其技术也在不断发展,涵盖了多种其他技术,包括临床前研究和诊断等多个领域,相关多模态成像(CMI)领域正在作为一种成熟的技术和研究领域站稳脚跟。在这一章中,我们将探讨科学界正在为建立一个连贯的 CMI 社区而开展的各项举措,特别强调欧洲的发展。为了实现这一目标,该领域需要设计机制以促进跨学科的知识和利益交流,建立培训计划,并为 CMI 技术及其数据制定标准。

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