Literature DB >> 28432904

Optimising multi-frame ADF-STEM for high-precision atomic-resolution strain mapping.

Lewys Jones1, Sigurd Wenner2, Magnus Nord2, Per Harald Ninive3, Ole Martin Løvvik4, Randi Holmestad2, Peter D Nellist5.   

Abstract

Annular dark-field scanning transmission electron microscopy is a powerful tool to study crystal defects at the atomic scale but historically single slow-scanned frames have been plagued by low-frequency scanning-distortions prohibiting accurate strain mapping at atomic resolution. Recently, multi-frame acquisition approaches combined with post-processing have demonstrated significant improvements in strain precision, but the optimum number of frames to record has not been explored. Here we use a non-rigid image registration procedure before applying established strain mapping methods. We determine how, for a fixed total electron-budget, the available dose should be fractionated for maximum strain mapping precision. We find that reductions in scanning-artefacts of more than 70% are achievable with image series of 20-30 frames in length. For our setup, series longer than 30 frames showed little further improvement. As an application, the strain field around an aluminium alloy precipitate was studied, from which our optimised approach yields data whos strain accuracy is verified using density functional theory.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADF-STEM; Aluminium alloys; Density functional calculations; Experiment design; Strain in crystals/solids

Year:  2017        PMID: 28432904     DOI: 10.1016/j.ultramic.2017.04.007

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  3 in total

1.  Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy.

Authors:  Shiro Ihara; Hikaru Saito; Mizumo Yoshinaga; Lavakumar Avala; Mitsuhiro Murayama
Journal:  Sci Rep       Date:  2022-08-05       Impact factor: 4.996

2.  Maximising the resolving power of the scanning tunneling microscope.

Authors:  Lewys Jones; Shuqiu Wang; Xiao Hu; Shams Ur Rahman; Martin R Castell
Journal:  Adv Struct Chem Imaging       Date:  2018-06-07

3.  Correcting the linear and nonlinear distortions for atomically resolved STEM spectrum and diffraction imaging.

Authors:  Yi Wang; Y Eren Suyolcu; Ute Salzberger; Kersten Hahn; Vesna Srot; Wilfried Sigle; Peter A van Aken
Journal:  Microscopy (Oxf)       Date:  2018-03-01       Impact factor: 1.571

  3 in total

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