3D nanoscale elemental mapping of precipitates in steel: Evaluation of analytical electron tomography and comparison to atom probe tomography

Cornelia Trummer; Francisca Mendez Martin; Gerald Kothleitner; Georg Haberfehlner

doi:10.1016/j.micron.2022.103233

3D nanoscale elemental mapping of precipitates in steel: Evaluation of analytical electron tomography and comparison to atom probe tomography

Cornelia Trummer, Francisca Mendez Martin, Gerald Kothleitner^*, Georg Haberfehlner^*

^*Corresponding author for this work

Institute of Electron Microscopy and Nanoanalysis (5190)

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

Abstract

To identify different types of precipitates and their composition, analytical electron tomography analysis on a needle-shaped sample was performed. Three-dimensional chemical maps from each element in a high alloyed steel are acquired and the resulting elemental maps are jointly reconstructed. Since analytical electron tomography data suffers from noise, total generalized variation regularization is used to improve the reconstruction quality compared to conventional reconstruction techniques. We analyse the influence of regularization parameters on these reconstructions in terms of elemental quantification, and compare these results to atom probe tomography measurements done on another sample of the same material.

Original language	English
Article number	103233
Journal	Micron
Volume	156
DOIs	https://doi.org/10.1016/j.micron.2022.103233
Publication status	Published - May 2022

Keywords

Atom probe tomography
Electron tomography
Energy-dispersive X-ray spectroscopy
Steel

ASJC Scopus subject areas

General Materials Science
General Physics and Astronomy
General Materials Science
Structural Biology
Cell Biology

Fields of Expertise

Advanced Materials Science

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)

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10.1016/j.micron.2022.103233Licence: CC BY 4.0

Cite this

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title = "3D nanoscale elemental mapping of precipitates in steel: Evaluation of analytical electron tomography and comparison to atom probe tomography",

abstract = "To identify different types of precipitates and their composition, analytical electron tomography analysis on a needle-shaped sample was performed. Three-dimensional chemical maps from each element in a high alloyed steel are acquired and the resulting elemental maps are jointly reconstructed. Since analytical electron tomography data suffers from noise, total generalized variation regularization is used to improve the reconstruction quality compared to conventional reconstruction techniques. We analyse the influence of regularization parameters on these reconstructions in terms of elemental quantification, and compare these results to atom probe tomography measurements done on another sample of the same material.",

keywords = "Atom probe tomography, Electron tomography, Energy-dispersive X-ray spectroscopy, Steel",

author = "Cornelia Trummer and {Mendez Martin}, Francisca and Gerald Kothleitner and Georg Haberfehlner",

year = "2022",

month = may,

doi = "10.1016/j.micron.2022.103233",

language = "English",

volume = "156",

journal = "Micron",

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publisher = "Elsevier Limited",

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TY - JOUR

T1 - 3D nanoscale elemental mapping of precipitates in steel: Evaluation of analytical electron tomography and comparison to atom probe tomography

AU - Trummer, Cornelia

AU - Mendez Martin, Francisca

AU - Kothleitner, Gerald

AU - Haberfehlner, Georg

PY - 2022/5

Y1 - 2022/5

N2 - To identify different types of precipitates and their composition, analytical electron tomography analysis on a needle-shaped sample was performed. Three-dimensional chemical maps from each element in a high alloyed steel are acquired and the resulting elemental maps are jointly reconstructed. Since analytical electron tomography data suffers from noise, total generalized variation regularization is used to improve the reconstruction quality compared to conventional reconstruction techniques. We analyse the influence of regularization parameters on these reconstructions in terms of elemental quantification, and compare these results to atom probe tomography measurements done on another sample of the same material.

AB - To identify different types of precipitates and their composition, analytical electron tomography analysis on a needle-shaped sample was performed. Three-dimensional chemical maps from each element in a high alloyed steel are acquired and the resulting elemental maps are jointly reconstructed. Since analytical electron tomography data suffers from noise, total generalized variation regularization is used to improve the reconstruction quality compared to conventional reconstruction techniques. We analyse the influence of regularization parameters on these reconstructions in terms of elemental quantification, and compare these results to atom probe tomography measurements done on another sample of the same material.

KW - Atom probe tomography

KW - Electron tomography

KW - Energy-dispersive X-ray spectroscopy

KW - Steel

UR - http://www.scopus.com/inward/record.url?scp=85126056076&partnerID=8YFLogxK

U2 - 10.1016/j.micron.2022.103233

DO - 10.1016/j.micron.2022.103233

M3 - Article

SN - 0968-4328

VL - 156

JO - Micron

JF - Micron

M1 - 103233

ER -

3D nanoscale elemental mapping of precipitates in steel: Evaluation of analytical electron tomography and comparison to atom probe tomography

Abstract

Keywords

ASJC Scopus subject areas

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Treatment code (Nähere Zuordnung)

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