Publication
Title
Optimal experiment design for nanoparticle atom counting from ADF STEM images
Author
Abstract
In this chapter, the principles of detection theory are used to quantify the probability of error for atom counting from high-resolution scanning transmission electron microscopy (HRSTEM) images. Binary and multiple hypothesis testing have been investigated in order to determine the limits to the precision with which the number of atoms in a projected atomic column can be estimated. The probability of error has been calculated when using STEM images, scattering cross-sections or peak intensities as a criterion to count atoms. Based on this analysis, we conclude that scattering cross-sections perform almost equally well as images and perform better than peak intensities. Furthermore, the optimal STEM detector design can be derived for atom counting using the expression of the probability of error. We show that for very thin objects the low-angle annular dark-field (LAADF) regime is optimal and that for thicker objects the optimal inner detector angle increases.
Language
English
Source (journal)
Advances in imaging and electron physics. - San Diego, Calif.
Source (book)
Advances in imaging and electron physics
Publication
San Diego, Calif. : Elsevier , 2021
ISSN
1076-5670
ISBN
978-0-12-824607-8
DOI
10.1016/BS.AIEP.2021.01.005
Volume/pages
217 , p. 145-175
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Picometer metrology for light-element nanostructures: making every electron count (PICOMETRICS).
Enabling science and technology through European electron microscopy (ESTEEM3).
Dose-efficient fusion of imaging and analytical techniques in scanning transmission electron microscopy.
Three-dimensional atomic modelling of functional nanocrystalline structures from a single viewing direction.
Bringing light atoms to light: precise characterization of light-atom nanostructures using transmission electron microscopy.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 04.05.2021
Last edited 07.10.2022
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