Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T04:23:58.984Z Has data issue: false hasContentIssue false
  • English
  • Français

Versatile Automated Domain Mapping of 4D-STEM Data Utilizing ML Algorithms and Bayesian Statistics

Published online by Cambridge University Press:  22 July 2022

A. Bridger ,
M. Danaie ,
K. Butler ,
T. Wood  and
W. I. F. David
A. Bridger
Affiliation:
Diamond Light Source, Didcot, Oxfordshire, United Kingdom Science and Technology Facilities Council, Swindon, Wiltshire, United Kingdom University of Oxford, Oxfordshire, United Kingdom
M. Danaie
Affiliation:
Diamond Light Source, Didcot, Oxfordshire, United Kingdom
K. Butler
Affiliation:
Science and Technology Facilities Council, Swindon, Wiltshire, United Kingdom
T. Wood
Affiliation:
Science and Technology Facilities Council, Swindon, Wiltshire, United Kingdom
W. I. F. David
Affiliation:
Science and Technology Facilities Council, Swindon, Wiltshire, United Kingdom University of Oxford, Oxfordshire, United Kingdom

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Artificial Intelligence, Instrument Automation, And High-dimensional Data Analytics for Microscopy and Microanalysis
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 3022 - 3023
Check for updates
Copyright
Copyright © Microscopy Society of America 2022