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组织透明化

TISSUE CLEARING.

作者信息

Richardson Douglas S, Guan Webster, Matsumoto Katsuhiko, Pan Chenchen, Chung Kwanghun, Ertürk Ali, Ueda Hiroki R, Lichtman Jeff W

机构信息

Harvard Center for Biological Imaging, Harvard University, Cambridge, MA, USA.

Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.

出版信息

Nat Rev Methods Primers. 2021;1(1). doi: 10.1038/s43586-021-00080-9. Epub 2021 Dec 16.

Abstract

Tissue clearing of gross anatomical samples was first described over a century ago and has only recently found widespread use in the field of microscopy. This renaissance has been driven by the application of modern knowledge of optical physics and chemical engineering to the development of robust and reproducible clearing techniques, the arrival of new microscopes that can image large samples at cellular resolution and computing infrastructure able to store and analyze large data volumes. Many biological relationships between structure and function require investigation in three dimensions and tissue clearing therefore has the potential to enable broad discoveries in the biological sciences. Unfortunately, the current literature is complex and could confuse researchers looking to begin a clearing project. The goal of this Primer is to outline a modular approach to tissue clearing that allows a novice researcher to develop a customized clearing pipeline tailored to their tissue of interest. Further, the Primer outlines the required imaging and computational infrastructure needed to perform tissue clearing at scale, gives an overview of current applications, discusses limitations and provides an outlook on future advances in the field.

摘要

大体解剖样本的组织透明化最早是在一个多世纪前被描述的,直到最近才在显微镜领域得到广泛应用。这种复兴是由光学物理和化学工程的现代知识应用于开发强大且可重复的透明化技术、能够在细胞分辨率下对大样本进行成像的新型显微镜的出现以及能够存储和分析大量数据的计算基础设施推动的。结构与功能之间的许多生物学关系需要在三维空间中进行研究,因此组织透明化有潜力在生物科学领域带来广泛的发现。不幸的是,当前的文献很复杂,可能会让希望启动透明化项目的研究人员感到困惑。本入门指南的目标是概述一种模块化的组织透明化方法,使新手研究人员能够开发出针对其感兴趣组织的定制透明化流程。此外,该入门指南概述了大规模进行组织透明化所需的成像和计算基础设施,概述了当前的应用,讨论了局限性,并对该领域的未来进展进行了展望。

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