反褶积
人工智能
图像(数学)
计算机科学
材料科学
计算机视觉
算法
作者
Kang 抗 Wu 吴,Biao Yang,Wenhua 文华 Xue 薛,Dapeng 大鹏 Sun 孙,Binghui Ge,Yumei Wang
出处
期刊:Chinese Physics B
[IOP Publishing]
日期:2024-05-09
卷期号:33 (7): 076802-076802
被引量:1
标识
DOI:10.1088/1674-1056/ad48f8
摘要
Abstract Metal–organic frameworks (MOFs) are crystalline porous materials with tunable properties, exhibiting great potential in gas adsorption, separation and catalysis. [1,2] It is challenging to visualize MOFs with transmission electron microscopy (TEM) due to their inherent instability under electron beam irradiation. Here, we employ cryo-electron microscopy (cryo-EM) to capture images of MOF ZIF-8, revealing inverted-space structural information at a resolution of up to about 1.7 Å and enhancing its critical electron dose to around 20 e − /Å 2 . In addition, it is confirmed by electron-beam irradiation experiments that the high voltage could effectively mitigate the radiolysis, and the structure of ZIF-8 is more stable along the [100] direction under electron beam irradiation. Meanwhile, since the high-resolution electron microscope images are modulated by contrast transfer function (CTF) and it is difficult to determine the positions corresponding to the atomic columns directly from the images. We employ image deconvolution to eliminate the impact of CTF and obtain the structural images of ZIF-8. As a result, the heavy atom Zn and the organic imidazole ring within the organic framework can be distinguished from structural images.
科研通智能强力驱动
Strongly Powered by AbleSci AI