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Progress towards a methodology for high throughput 3D reconstruction of soot nanoparticles via electron tomography

Haffner-Staton, E.; La Rocca, A.; Fay, M.W.

Progress towards a methodology for high throughput 3D reconstruction of soot nanoparticles via electron tomography Thumbnail


Authors

E. Haffner-Staton

ANTONINO LA ROCCA ANTONINO.LAROCCA@NOTTINGHAM.AC.UK
Professor of Applied Thermofluids and Propulsion Systems



Abstract

The aim of this work is to make progress towards the development of 3D reconstruction as a legitimate alternative to traditional 2D characterisation of soot. Time constraints are the greatest opposition to its implementation, as currently reconstruction of a single soot particle takes around 5-6 hours to complete. As such, the accuracy and detail gains are currently insufficient to challenge 2D characterisation of a representative sample (e.g. 200 particles). This work is a consideration of the optimisation of the steps included within the computational reconstruction and manual segmentation of soot particles. Our optimal process reduced the time required by over 70% in comparison to a typical procedure, whilst producing models with no appreciable decrease in quality.

Citation

Haffner-Staton, E., La Rocca, A., & Fay, M. (2018). Progress towards a methodology for high throughput 3D reconstruction of soot nanoparticles via electron tomography. Journal of Microscopy, 270(3), 272-289. https://doi.org/10.1111/jmi.12680

Journal Article Type Article
Acceptance Date Dec 19, 2017
Online Publication Date Jan 16, 2018
Publication Date Jun 30, 2018
Deposit Date Jan 12, 2018
Publicly Available Date Jan 16, 2018
Journal Journal of Microscopy
Print ISSN 0022-2720
Electronic ISSN 1365-2818
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 270
Issue 3
Pages 272-289
DOI https://doi.org/10.1111/jmi.12680
Keywords Soot characterisation; 2D-TEM; fractal dimension; Electron tomography; 3D-TEM
Public URL https://nottingham-repository.worktribe.com/output/905727
Publisher URL https://onlinelibrary.wiley.com/doi/abs/10.1111/jmi.12680

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