Improving reconstructions in nanotomography for homogeneous materials <i>via</i> mathematical optimization-Reference-Cited by-同舟云学术

Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization

Published:2024 Issue:15 Volume:6 Page:3934-3947
ISSN:2516-0230
Container-title:Nanoscale Advances
language:en
Short-container-title:Nanoscale Adv.

Author:

Kreuz Sebastian¹,Apeleo Zubiri Benjamin²^ORCID,Englisch Silvan²,Buwen Moritz²,Kang Sung-Gyu³⁴^ORCID,Ramachandramoorthy Rajaprakash³^ORCID,Spiecker Erdmann²^ORCID,Liers Frauke¹^ORCID,Rolfes Jan¹^ORCID

Affiliation:

1. Department of Data Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstr. 11, 91058 Erlangen, Germany

2. Institute of Micro- and Nanostructure Research (IMN) & Center for Nanoanalysis and Electron Microscopy (CENEM), Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstr. 3, 91058 Erlangen, Germany

3. Department Structure and Nano- / Micromechanics of Materials, Max-Planck-Institut für Eisenforschung GmbH, Max-Planck-Str. 1, 40237 Düsseldorf, Germany

4. Department of Materials Engineering and Convergence Technology, Gyeongsang National University, Jinju-daero 501, 52828 Jinju, Republic of Korea

Abstract

This work presents a variant of compressed sensing that incorporates problem-specific information in order to achieve better image reconstructions for homogeneous materials in nanotomography.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/NA/D3NA01089A

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