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通过低剂量电子显微镜对光束敏感的共价有机框架材料和金属有机框架材料进行原子级成像。

Atomic-level imaging of beam-sensitive COFs and MOFs by low-dose electron microscopy.

作者信息

Zhan Zhen, Liu Yuxin, Wang Weizhen, Du Guangyu, Cai Songhua, Wang Peng

机构信息

Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong SAR, China.

Department of Physics, University of Warwick, CV4 7AL, Coventry, UK.

出版信息

Nanoscale Horiz. 2024 May 29;9(6):900-933. doi: 10.1039/d3nh00494e.

Abstract

Electron microscopy, an important technique that allows for the precise determination of structural information with high spatiotemporal resolution, has become indispensable in unravelling the complex relationships between material structure and properties ranging from mesoscale morphology to atomic arrangement. However, beam-sensitive materials, particularly those comprising organic components such as metal-organic frameworks (MOFs) and covalent organic frameworks (COFs), would suffer catastrophic damage from the high energy electrons, hindering the determination of atomic structures. A low-dose approach has arisen as a possible solution to this problem based on the integration of advancements in several aspects: electron optical system, detector, image processing, and specimen preservation. This article summarizes the transmission electron microscopy characterization of MOFs and COFs, including local structures, host-guest interactions, and interfaces at the atomic level. Revolutions in advanced direct electron detectors, algorithms in image acquisition and processing, and emerging methodology for high quality low-dose imaging are also reviewed. Finally, perspectives on the future development of electron microscopy methodology with the support of computer science are presented.

摘要

电子显微镜是一项重要技术,能够以高时空分辨率精确测定结构信息,在揭示从介观尺度形态到原子排列的材料结构与性能之间的复杂关系方面已变得不可或缺。然而,对电子束敏感的材料,尤其是那些包含有机成分的材料,如金属有机框架(MOF)和共价有机框架(COF),会受到高能电子的灾难性损伤,从而阻碍原子结构的测定。基于电子光学系统、探测器、图像处理和样品保存等多个方面的进展整合,低剂量方法已成为解决这一问题的可能方案。本文总结了MOF和COF的透射电子显微镜表征,包括原子水平上的局部结构、主客体相互作用和界面。还综述了先进的直接电子探测器的革新、图像采集和处理中的算法以及高质量低剂量成像的新兴方法。最后,展望了在计算机科学支持下电子显微镜方法的未来发展。

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