Symmetry quantification and segmentation in STEM imaging through Zernike moments
Abstract We present a method using Zernike moments for quantifying rotational and reflectional symmetries in scanning transmission electron microscopy (STEM) images, aimed at improving structural analysis of materials at the atomic scale. This technique is effective against common imaging noises and...
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Published in | Chinese physics B Vol. 33; no. 8; pp. 86803 - 86812 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Chinese Physical Society and IOP Publishing Ltd
01.07.2024
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Abstract | Abstract We present a method using Zernike moments for quantifying rotational and reflectional symmetries in scanning transmission electron microscopy (STEM) images, aimed at improving structural analysis of materials at the atomic scale. This technique is effective against common imaging noises and is potentially suited for low-dose imaging and identifying quantum defects. We showcase its utility in the unsupervised segmentation of polytypes in a twisted bilayer TaS 2 , enabling accurate differentiation of structural phases and monitoring transitions caused by electron beam effects. This approach enhances the analysis of structural variations in crystalline materials, marking a notable advancement in the characterization of structures in materials science. |
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AbstractList | Abstract We present a method using Zernike moments for quantifying rotational and reflectional symmetries in scanning transmission electron microscopy (STEM) images, aimed at improving structural analysis of materials at the atomic scale. This technique is effective against common imaging noises and is potentially suited for low-dose imaging and identifying quantum defects. We showcase its utility in the unsupervised segmentation of polytypes in a twisted bilayer TaS 2 , enabling accurate differentiation of structural phases and monitoring transitions caused by electron beam effects. This approach enhances the analysis of structural variations in crystalline materials, marking a notable advancement in the characterization of structures in materials science. |
Author | Zhao, Xiaoxu Duane Loh, N. Zhang, Cheng Dan, Jiadong |
Author_xml | – sequence: 1 givenname: Jiadong surname: Dan fullname: Dan, Jiadong organization: Center for Bioimaging Sciences (CBIS), National University of Singapore , Singapore – sequence: 2 givenname: Cheng surname: Zhang fullname: Zhang, Cheng organization: Department of Physics, National University of Singapore , Singapore – sequence: 3 givenname: Xiaoxu surname: Zhao fullname: Zhao, Xiaoxu organization: School of Materials Science and Engineering, Peking University , Beijing 100871, China – sequence: 4 givenname: N. surname: Duane Loh fullname: Duane Loh, N. organization: Department of Physics, National University of Singapore , Singapore |
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Snippet | Abstract We present a method using Zernike moments for quantifying rotational and reflectional symmetries in scanning transmission electron microscopy (STEM)... |
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SubjectTerms | scanning transmission electron microscopy (STEM) segmentation symmetry |
Title | Symmetry quantification and segmentation in STEM imaging through Zernike moments |
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