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序列块面扫描电子显微镜技术的兴起。

Serial Block Face-Scanning Electron Microscopy as a Burgeoning Technology.

机构信息

Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.

Laboratory of Biosciences of Human Motricity (LABIMH) of the Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil.

出版信息

Adv Biol (Weinh). 2023 Aug;7(8):e2300139. doi: 10.1002/adbi.202300139. Epub 2023 May 28.

Abstract

Serial block face scanning electron microscopy (SBF-SEM), also referred to as serial block-face electron microscopy, is an advanced ultrastructural imaging technique that enables three-dimensional visualization that provides largerx- and y-axis ranges than other volumetric EM techniques. While SEM is first introduced in the 1930s, SBF-SEM is developed as a novel method to resolve the 3D architecture of neuronal networks across large volumes with nanometer resolution by Denk and Horstmann in 2004. Here, the authors provide an accessible overview of the advantages and challenges associated with SBF-SEM. Beyond this, the applications of SBF-SEM in biochemical domains as well as potential future clinical applications are briefly reviewed. Finally, the alternative forms of artificial intelligence-based segmentation which may contribute to devising a feasible workflow involving SBF-SEM, are also considered.

摘要

连续块面扫描电子显微镜(SBF-SEM),也称为连续块面电子显微镜,是一种先进的超微结构成像技术,能够实现三维可视化,提供比其他容积 EM 技术更大的 x 和 y 轴范围。虽然 SEM 最早在 20 世纪 30 年代被引入,但 SBF-SEM 是 Denk 和 Horstmann 于 2004 年开发的一种新方法,用于解决通过纳米分辨率对大体积神经元网络的 3D 结构进行成像的问题。在这里,作者提供了一个易于理解的概述,介绍了 SBF-SEM 相关的优势和挑战。除此之外,还简要回顾了 SBF-SEM 在生化领域的应用以及潜在的未来临床应用。最后,还考虑了基于人工智能的分割的替代形式,这些形式可能有助于设计涉及 SBF-SEM 的可行工作流程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfd6/10950369/6bc517a141b0/nihms-1974028-f0001.jpg

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