Journal article
Increasing spatial fidelity and SNR of 4D-STEM using multi-frame data fusion
- Abstract:
- 4D-STEM, in which the 2D diffraction plane is captured for each 2D scan position in the scanning transmission electron microscope (STEM) using a pixelated detector, is complementing, and increasingly replacing existing imaging approaches. However, at present the speed of those detectors, although having drastically improved in the recent years, is still 100 to 1,000 times slower than the current PMT technology operators are used to. Regrettably, this means environmental scanning-distortion often limits the overall performance of the recorded 4D data. Here, we present an extension of existing STEM distortion correction techniques for the treatment of 4D data series. Although applicable to 4D data in general, we use electron ptychography and electric-field mapping as model cases and demonstrate an improvement in spatial fidelity, signal-to-noise ratio (SNR), phase precision, and spatial resolution.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.4MB, Terms of use)
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- Publisher copy:
- 10.1017/s1431927621012587
Authors
- Publisher:
- Cambridge University Press
- Journal:
- Microscopy and Microanalysis More from this journal
- Volume:
- 28
- Issue:
- 4
- Pages:
- 1417 - 1427
- Publication date:
- 2021-09-15
- Acceptance date:
- 2021-08-12
- DOI:
- EISSN:
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1435-8115
- ISSN:
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1431-9276
- Language:
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English
- Keywords:
- Pubs id:
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1196028
- Local pid:
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pubs:1196028
- Deposit date:
-
2021-09-27
- ARK identifier:
Terms of use
- Copyright holder:
- O' Leary et al.
- Copyright date:
- 2021
- Rights statement:
- © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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