Automated Single-Particle Reconstruction of Heterogeneous Inorganic Nanoparticles.

Autor: Slater TJA; Electron Physical Sciences Imaging Centre, Diamond Light Source Ltd., OxfordshireOX11 0DE, UK., Wang YC; School of Materials, University of Manchester, Oxford Road, ManchesterM13 9PL, UK.; Chinese Academy of Sciences, Beijing Institute of Nanoengergy and Nanosystems, Beijing100083, P.R. China., Leteba GM; Department of Chemical Engineering, Catalysis Institute, University of Cape Town, Rondebosch7701, South Africa., Quiroz J; Department of Chemistry, University of Helsinki, A.I. Virtasen aukio 1, Helsinki, Finland., Camargo PHC; Department of Chemistry, University of Helsinki, A.I. Virtasen aukio 1, Helsinki, Finland., Haigh SJ; School of Materials, University of Manchester, Oxford Road, ManchesterM13 9PL, UK., Allen CS; Electron Physical Sciences Imaging Centre, Diamond Light Source Ltd., OxfordshireOX11 0DE, UK.; Department of Materials, University of Oxford, Parks Road, OxfordOX1 3PH, UK.
Jazyk: angličtina
Zdroj: Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada [Microsc Microanal] 2020 Dec; Vol. 26 (6), pp. 1168-1175.
DOI: 10.1017/S1431927620024642
Abstrakt: 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.
Databáze: MEDLINE
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