Procedure for 3D atomic resolution reconstructions using atom-counting and a Bayesian genetic algorithm
Citation:
Jones, L., De Backer, A., Van Aer, S., Nellist, P.D., Procedure for 3D atomic resolution reconstructions using atom-counting and a Bayesian genetic algorithm, 2021, arXiv preprint arXiv:2105.05562Download Item:
Abstract:
We introduce a Bayesian genetic algorithm for reconstructing atomic models of 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 (ADF STEM) images
serves as an input for the initial three-dimensional (3D) model. The novel algorithm minimizes the
energy of the structure while utilising a priori information about the finite precision of the atom-
counting results and neighbor-mass relations. The results show excellent prospects for obtaining
reliable reconstructions of beam-sensitive nanoparticles during dynamical processes from images
acquired with sufficiently low incident electron doses
Sponsor
Grant Number
Science Foundation Ireland
URF/RI/191637
Author's Homepage:
http://people.tcd.ie/jonesl1Description:
PUBLISHED
Author: Jones, Lewys
Sponsor:
Science Foundation IrelandType of material:
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arXiv preprint arXiv:2105.05562;Availability:
Full text availableKeywords:
Bayesian genetic algorithm, annular dark field scanning transmission electron microscopy (ADF STEM), three-dimensional (3D) modelDOI:
https://doi.org/10.48550/arXiv.2105.05562Metadata
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