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http://hdl.handle.net/1942/38822| Title: | Experimental reconstructions of 3D atomic structures from electron microscopy images using a Bayesian genetic algorithm | Authors: | De Backer , Annick Van Aert, Sandra FAES, Christel Irmak, Ece Arslan Nellist, Peter D. Jones, Lewys |
Issue Date: | 2022 | Publisher: | NATURE PORTFOLIO | Source: | npj Computational Materials, 8 (1) (Art N° 216) | Abstract: | We introduce a Bayesian genetic algorithm for reconstructing atomic models of monotype crystalline nanoparticles from a single projection using Z-contrast imaging. The number of atoms in a projected atomic column obtained from annular dark field scanning transmission electron microscopy images serves as an input for the initial three-dimensional model. The algorithm minimizes the energy of the structure while utilizing a priori information about the finite precision of the atom-counting results and neighbor-mass relations. The results show promising prospects for obtaining reliable reconstructions of beam-sensitive nanoparticles during dynamical processes from images acquired with sufficiently low incident electron doses. | Notes: | Van Aert, S (corresponding author), Univ Antwerp, EMAT, Groenenborgerlaan 171, B-2020 Antwerp, Belgium.; Van Aert, S (corresponding author), Univ Antwerp, NANOlab, Ctr Excellence, Groenenborgerlaan 171, B-2020 Antwerp, Belgium.; Jones, L (corresponding author), Ctr Res Adapt Nanostruct & Nanodevices CRANN, Adv Microscopy Lab, Dublin 2, Ireland.; Jones, L (corresponding author), Univ Dublin, Trinity Coll Dublin, Sch Phys, Dublin 2, Ireland. sandra.vanaert@uantwerpen.be; lewys.jones@tcd.ie |
Document URI: | http://hdl.handle.net/1942/38822 | e-ISSN: | 2057-3960 | DOI: | 10.1038/s41524-022-00900-w | ISI #: | 000866500900001 | Rights: | The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http:// creativecommons.org/licenses/by/4.0/. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
| Appears in Collections: | Research publications |
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| Experimental reconstructions of 3D atomic structures from electron microscopy images using a Bayesian genetic algorithm.pdf | Published version | 3.96 MB | Adobe PDF | View/Open |
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