Automated quantification of morphology and chemistry from STEM data of individual nanoparticles

Yichi Wang; Thomas Slater; T Rodrigues; Pedro HC Camargo; Sarah Haigh

doi:10.1088/1742-6596/902/1/012018

Automated quantification of morphology and chemistry from STEM data of individual nanoparticles

Yichi Wang, Thomas Slater, T Rodrigues, Pedro HC Camargo, Sarah Haigh

Research output: Contribution to journal › Article › peer-review

Abstract

Two novel automated methods for the determination of surface roughness and chemical distribution in individual nanoparticles are presented and applied to nanoparticles synthesised by the galvanic replacement reaction. The two methodologies apply the determination of circumferential and radial line profiles to determine surface roughness and elemental distribution respectively. The surface roughness analysis provides details on localised changes in roughness in comparison to single measures of circularity. The X-ray spectroscopic concentric ring scan outperforms conventional line scans when elemental distribution approximately possesses a spherical symmetry.

Original language	English
Article number	012018
Journal	Journal of Physics: Conference Series
Volume	902
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/902/1/012018
Publication status	Published - 16 Oct 2017

Research Beacons, Institutes and Platforms

National Graphene Institute

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10.1088/1742-6596/902/1/012018Licence: CC BY

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title = "Automated quantification of morphology and chemistry from STEM data of individual nanoparticles",

abstract = "Two novel automated methods for the determination of surface roughness and chemical distribution in individual nanoparticles are presented and applied to nanoparticles synthesised by the galvanic replacement reaction. The two methodologies apply the determination of circumferential and radial line profiles to determine surface roughness and elemental distribution respectively. The surface roughness analysis provides details on localised changes in roughness in comparison to single measures of circularity. The X-ray spectroscopic concentric ring scan outperforms conventional line scans when elemental distribution approximately possesses a spherical symmetry.",

author = "Yichi Wang and Thomas Slater and T Rodrigues and Camargo, {Pedro HC} and Sarah Haigh",

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AU - Camargo, Pedro HC

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Y1 - 2017/10/16

N2 - Two novel automated methods for the determination of surface roughness and chemical distribution in individual nanoparticles are presented and applied to nanoparticles synthesised by the galvanic replacement reaction. The two methodologies apply the determination of circumferential and radial line profiles to determine surface roughness and elemental distribution respectively. The surface roughness analysis provides details on localised changes in roughness in comparison to single measures of circularity. The X-ray spectroscopic concentric ring scan outperforms conventional line scans when elemental distribution approximately possesses a spherical symmetry.

AB - Two novel automated methods for the determination of surface roughness and chemical distribution in individual nanoparticles are presented and applied to nanoparticles synthesised by the galvanic replacement reaction. The two methodologies apply the determination of circumferential and radial line profiles to determine surface roughness and elemental distribution respectively. The surface roughness analysis provides details on localised changes in roughness in comparison to single measures of circularity. The X-ray spectroscopic concentric ring scan outperforms conventional line scans when elemental distribution approximately possesses a spherical symmetry.

U2 - 10.1088/1742-6596/902/1/012018

DO - 10.1088/1742-6596/902/1/012018

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JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012018

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Automated quantification of morphology and chemistry from STEM data of individual nanoparticles

Abstract

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