Publication
Title
General conclusions and future perspectives
Author
Abstract
This chapter provides an overview of statistical and quantitative methodologies that have pushed (scanning) transmission electron microscopy ((S)TEM) toward accurate and precise measurements of unknown structure parameters for understanding the relation between the structure of a material and its properties. Hereby, statistical parameter estimation theory has extensively been used which enabled not only measuring atomic column positions, but also quantifying the number of atoms, and detecting atomic columns as accurately and precisely as possible from experimental images. As a general conclusion, it can be stated that advanced statistical techniques are ideal tools to perform quantitative electron microscopy at the atomic scale. In the future, statistical methods will continue to be developed and novel quantification procedures will open up new possibilities for studying material structures at the atomic scale.
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.2021.01.008
Volume/pages
217 , p. 243-253
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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