The Peak Pairs algorithm for strain mapping from HRTEM images

被引:235
|
作者
Galindo, Pedro L.
Kret, Slawomir
Sanchez, Ana M.
Laval, Jean-Yves
Yanez, Andres
Pizarro, Joaquin
Guerrero, Elisa
Ben, Teresa
Molina, Sergio I.
机构
[1] Univ Cadiz, CASEM, Dept Lenguajes & Sistemas Informat, Cadiz 11510, Spain
[2] Polish Acad Sci, Inst Phys, PL-02668 Warsaw, Poland
[3] Univ Cadiz, Fac Ciencias, Dept Ciencia Mat & Ing Met & Q Inorgan, Cadiz 11510, Spain
[4] ESPCI, CNRS, UPR5, Phys Solide Lab, F-75005 Paris, France
关键词
strain mapping; High-resolution transmission electron microscopy (HRTEM); data processing/image processing;
D O I
10.1016/j.ultramic.2007.01.019
中图分类号
TH742 [显微镜];
学科分类号
摘要
Strain mapping is defined as a numerical image-processing technique that measures the local shifts of image details around a crystal defect with respect to the ideal, defect-free, positions in the bulk. Algorithms to map elastic strains from high-resolution transmission electron microscopy (HRTEM) images may be classified into two categories: those based on the detection of peaks of intensity in real space and the Geometric Phase approach, calculated in Fourier space. In this paper, we discuss both categories and propose an alternative real space algorithm (Peak Pairs) based on the detection of pairs of intensity maxima in an affine transformed space dependent on the reference area. In spite of the fact that it is a real space approach, the Peak Pairs algorithm exhibits good behaviour at heavily distorted defect cores, e.g. interfaces and dislocations. Quantitative results are reported from experiments to determine local strain in different types of semiconductor heterostructures. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1186 / 1193
页数:8
相关论文
共 50 条
  • [1] Strain mapping from HRTEM images
    Galindo, P. L.
    Yanez, A.
    Pizarro, J.
    Guerrero, E.
    Ben, T.
    Molina, S. I.
    MICROSCOPY OF SEMICONDUCTING MATERIALS, 2005, 107 : 191 - 194
  • [2] Strain mapping in symmetrical core-shell gold nanorods from HRTEM images
    Zhang, Hui
    Zhang, Ran
    Geng, Yongfeng
    Ji, Yinglu
    Zhang, Yi
    Li, Xu
    Meng, Dejing
    VACUUM, 2021, 193
  • [3] Unsupervised segmentation algorithm of HRTEM images
    Mendizábal, A
    Cabrera, J
    Salgado, L
    Garcia, N
    González, JC
    ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5, 2004, : 2757 - 2760
  • [4] Mapping of strain in multilayer GaAs/AlAs superlattices from HRTEM micrographs
    Li, Xu
    Ouyang, Yanyan
    Zhang, Ran
    Tao, Xingfu
    Geng, Yongfeng
    Li, Shi
    Zhang, Yi
    Gao, Huifang
    MATERIALS LETTERS, 2021, 284
  • [5] Atomic reorganisation studies from HRTEM images
    Ferrer, JC
    Peiró, F
    Cornet, A
    Armelles, G
    MICROSCOPY OF SEMICONDUCTING MATERIALS 1999, PROCEEDINGS, 1999, (164): : 39 - 42
  • [6] Direct algorithm for rectifying pairs of uncalibrated images
    Al-Shalfan, KA
    Haigh, JGB
    Ipson, SS
    ELECTRONICS LETTERS, 2000, 36 (05) : 419 - 420
  • [7] Retrieving modulation parameters from HRTEM images of modulated structures
    Höche, T
    Neumann, W
    ULTRAMICROSCOPY, 2003, 96 (02) : 181 - 190
  • [8] QFocus: Structure reconstruction from focal series of hrtem images
    Zou, Xiaodong
    Wan, Wei
    Hovmoller, Sven
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2011, 67 : C107 - C107
  • [9] Quantitative assessment of nanoparticle size distributions from HRTEM images
    Du, Kui
    Ernst, Frank
    INTERNATIONAL JOURNAL OF MATERIALS RESEARCH, 2006, 97 (07) : 928 - 933
  • [10] Quantitative analysis of HRTEM images from amorphous materials. I: about the estimation of Cs and δf from HRTEM diffractograms
    Baik, H.S.
    Epicier, T.
    Cappellen, E.Van
    EPJ Applied Physics, 1998, 4 (01): : 11 - 26