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Automated Single-Particle Reconstruction of Heterogeneous Inorganic Nanoparticles

Authors :
Yi-Chi Wang
Jhon Quiroz
Sarah J. Haigh
Gerard M. Leteba
Thomas J. A. Slater
Pedro H. C. Camargo
Christopher S. Allen
Department of Chemistry
Helsinki Institute of Sustainability Science (HELSUS)
Source :
Microscopy and Microanalysis. 26:1168-1175
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

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.

Details

ISSN :
14358115 and 14319276
Volume :
26
Database :
OpenAIRE
Journal :
Microscopy and Microanalysis
Accession number :
edsair.doi.dedup.....66be2de6062ea3be4391f849142f8178
Full Text :
https://doi.org/10.1017/s1431927620024642