Journal article
Automated single-particle reconstruction of heterogeneous inorganic nanoparticles
- Abstract:
- Single-particle reconstruction can be used to perform three-dimensional (3D) imaging of homogeneous populations of nano-sized objects, in particular viruses and proteins. Here, it is demonstrated that it can also be used to obtain 3D reconstructions of heterogeneous populations of inorganic nanoparticles. An automated acquisition scheme in a scanning transmission electron microscope is used to collect images of thousands of nanoparticles. Particle images are subsequently semi-automatically clustered in terms of their properties and separate 3D reconstructions are performed from selected particle image clusters. The result is a 3D dataset that is representative of the full population. The study demonstrates a methodology that allows 3D imaging and analysis of inorganic nanoparticles in a fully automated manner that is truly representative of large particle populations.
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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(Preview, Version of record, 800.7KB, Terms of use)
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- Publisher copy:
- 10.1017/s1431927620024642
Authors
- Publisher:
- Cambridge University Press
- Journal:
- Microscopy and Microanalysis More from this journal
- Volume:
- 26
- Issue:
- 6
- Pages:
- 1168-1175
- Place of publication:
- United States
- Publication date:
- 2020-11-12
- Acceptance date:
- 2020-10-07
- DOI:
- EISSN:
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1435-8115
- ISSN:
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1431-9276
- Pmid:
-
33176893
- Language:
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English
- Keywords:
- Pubs id:
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1146115
- Local pid:
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pubs:1146115
- Deposit date:
-
2021-01-13
Terms of use
- Copyright holder:
- Slater et al.
- Copyright date:
- 2020
- Rights statement:
- Copyright © The Author(s), 2020. 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 (http://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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