Journal Article FZJ-2021-02905

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Atom column detection from simultaneously acquired ABF and ADF STEM images

 ;  ;  ;  ;  ;

2020
Elsevier Science Amsterdam

Ultramicroscopy 219, 113046 - () [10.1016/j.ultramic.2020.113046]

This record in other databases:    

Please use a persistent id in citations:   doi:

Abstract: In electron microscopy, the maximum a posteriori (MAP) probability rule has been introduced as a tool to determine the most probable atomic structure from high-resolution annular dark-field (ADF) scanning transmission electron microscopy (STEM) images exhibiting low contrast-to-noise ratio (CNR). Besides ADF imaging, STEM can also be applied in the annular bright-field (ABF) regime. The ABF STEM mode allows to directly visualize light-element atomic columns in the presence of heavy columns. Typically, light-element nanomaterials are sensitive to the electron beam, limiting the incoming electron dose in order to avoid beam damage and leading to images exhibiting low CNR. Therefore, it is of interest to apply the MAP probability rule not only to ADF STEM images, but to ABF STEM images as well. In this work, the methodology of the MAP rule, which combines statistical parameter estimation theory and model-order selection, is extended to be applied to simultaneously acquired ABF and ADF STEM images. For this, an extension of the commonly used parametric models in STEM is proposed. Hereby, the effect of specimen tilt has been taken into account, since small tilts from the crystal zone axis affect, especially, ABF STEM intensities. Using simulations as well as experimental data, it is shown that the proposed methodology can be successfully used to detect light elements in the presence of heavy elements.

Classification:

Contributing Institute(s):
  1. Physik Nanoskaliger Systeme (ER-C-1)
Research Program(s):
  1. 5351 - Platform for Correlative, In Situ and Operando Characterization (POF4-535) (POF4-535)
  2. moreSTEM - Momentum-resolved Scanning Transmission Electron Microscopy (VH-NG-1317) (VH-NG-1317)

Appears in the scientific report 2021
Database coverage:
Medline ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > ER-C > ER-C-1
Workflow collections > Public records
Publications database
Open Access

 Record created 2021-07-07, last modified 2022-01-31


OpenAccess:
Download fulltext PDF
External link:
Download fulltextFulltext by OpenAccess repository
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)