Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Automated single-particle reconstruction of heterogeneous inorganic nanoparticles

Slater, Thomas J. A. ORCID:, Wang, Yi-Chi, Leteba, Gerard M., Quiroz, Jhon, Camargo, Pedro H. C., Haigh, Sarah J. and Allen, Christopher S. 2020. Automated single-particle reconstruction of heterogeneous inorganic nanoparticles. Microscopy and Microanalysis 26 (6) , pp. 1168-1175. 10.1017/S1431927620024642

[thumbnail of automated-single-particle-reconstruction-of-heterogeneous-inorganic-nanoparticles.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (820kB)


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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Chemistry
Additional Information: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher: Cambridge University Press
ISSN: 1431-9276
Date of First Compliant Deposit: 14 February 2022
Last Modified: 11 May 2023 01:58

Citation Data

Cited 7 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics