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Automated single-particle reconstruction of heterogeneous inorganic nanoparticles

DOI: 10.1017/S1431927620024642 DOI Help

Authors: Thomas J. A. Slater (Diamond Light Source) , Yi-chi Wang (University of Manchester; Chinese Academy of Sciences, Beijing Institute of Nanoengergy and Nanosystems) , Gerard M. Leteba (University of Cape Town) , Jhon Quiroz (University of Helsinki) , Pedro H. C. Camargo (University of Helsinki) , Sarah J. Haigh (University of Manchester) , Christopher Allen (Diamond Light Source; University of Oxford)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Microscopy And Microanalysis , VOL 12 , PAGES 1 - 8

State: Published (Approved)
Published: November 2020
Diamond Proposal Number(s): 26559

Open Access Open Access

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.

Journal Keywords: electron tomography; nanoparticles; scanning transmission electron microscopy; three-dimensional imaging

Subject Areas: Materials, Physics

Diamond Offline Facilities: Electron Physical Sciences Imaging Centre (ePSIC)
Instruments: E02-JEM ARM 300CF