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Title: | Three Approaches for Representing the Statistical Uncertainty on Atom-Counting Results in Quantitative ADF STEM | Authors: | De Wael, Annelies De Backer , Annick Yu, Chu-Ping Sentuerk, Duygu Gizem Lobato, Ivan FAES, Christel Van Aert, Sandra |
Issue Date: | 2022 | Publisher: | CAMBRIDGE UNIV PRESS | Source: | MICROSCOPY AND MICROANALYSIS, | Status: | Early view | Abstract: | A decade ago, a statistics-based method was introduced to count the number of atoms from annular dark-field scanning transmission electron microscopy (ADF STEM) images. In the past years, this method was successfully applied to nanocrystals of arbitrary shape, size, and composition (and its high accuracy and precision has been demonstrated). However, the counting results obtained from this statistical framework are so far presented without a visualization of the actual uncertainty about this estimate. In this paper, we present three approaches that can be used to represent counting results together with their statistical error, and discuss which approach is most suited for further use based on simulations and an experimental ADF STEM image. | Notes: | Van Aert, S (corresponding author), Univ Antwerp, EMAT, Antwerp, Belgium.; Van Aert, S (corresponding author), Univ Antwerp, NANOlab Ctr Excellence, Antwerp, Belgium. sandra.vanaert@uantwerpen.be |
Keywords: | model averaging;quantitative electron microscopy;scanning transmission electron microscopy;statistical parameter estimation theory;statistical uncertainty | Document URI: | http://hdl.handle.net/1942/38702 | ISSN: | 1431-9276 | e-ISSN: | 1435-8115 | DOI: | 10.1017/S1431927622012284 | ISI #: | 000854930500001 | Rights: | The Author(s), 2022. Published by Cambridge University Press on behalf of the Microscopy Society of America. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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S1431927622012284jra 1..9.pdf | Published version | 1.06 MB | Adobe PDF | View/Open |
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