Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials

Detailed and accurate three-dimensional (3D) information about the morphology of hierarchically structured materials is derived from multi-scale X-ray computed tomography (XCT) and subsequent 3D data reconstruction. High-resolution X-ray microscopy and nano-XCT are suitable techniques to nondestruct...

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Main Authors: Konstantin Bulatov, Marina Chukalina, Kristina Kutukova, Vlad Kohan, Anastasia Ingacheva, Alexey Buzmakov, Vladimir V. Arlazarov, Ehrenfried Zschech
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/11/10/2524
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author Konstantin Bulatov
Marina Chukalina
Kristina Kutukova
Vlad Kohan
Anastasia Ingacheva
Alexey Buzmakov
Vladimir V. Arlazarov
Ehrenfried Zschech
author_facet Konstantin Bulatov
Marina Chukalina
Kristina Kutukova
Vlad Kohan
Anastasia Ingacheva
Alexey Buzmakov
Vladimir V. Arlazarov
Ehrenfried Zschech
author_sort Konstantin Bulatov
collection DOAJ
description Detailed and accurate three-dimensional (3D) information about the morphology of hierarchically structured materials is derived from multi-scale X-ray computed tomography (XCT) and subsequent 3D data reconstruction. High-resolution X-ray microscopy and nano-XCT are suitable techniques to nondestructively study nanomaterials, including porous or skeleton materials. However, laboratory nano-XCT studies are very time-consuming. To reduce the time-to-data by more than an order of magnitude, we propose taking advantage of a monitored tomographic reconstruction. The benefit of this new protocol for 3D imaging is that the data acquisition for each projection is interspersed by image reconstruction. We demonstrate this new approach for nano-XCT data of a novel transition-metal-based materials system: MoNi<sub>4</sub> electrocatalysts anchored on MoO<sub>2</sub> cuboids aligned on Ni foam (MoNi<sub>4</sub>/MoO<sub>2</sub>@Ni). Quantitative data that describe the 3D morphology of this hierarchically structured system with an advanced electrocatalytically active nanomaterial are needed to tailor performance and durability of the electrocatalyst system. We present the framework for monitored tomographic reconstruction, construct three stopping rules for various reconstruction quality metrics and provide their experimental evaluation.
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spelling doaj.art-42db32889b20415a9c2bd6d13f100a7c2023-11-22T19:22:37ZengMDPI AGNanomaterials2079-49912021-09-011110252410.3390/nano11102524Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of NanomaterialsKonstantin Bulatov0Marina Chukalina1Kristina Kutukova2Vlad Kohan3Anastasia Ingacheva4Alexey Buzmakov5Vladimir V. Arlazarov6Ehrenfried Zschech7Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, 117312 Moscow, RussiaSmart Engines Service LLC, 117312 Moscow, RussiaFraunhofer Institute for Ceramic Technologies and Systems, 01109 Dresden, GermanySmart Engines Service LLC, 117312 Moscow, RussiaSmart Engines Service LLC, 117312 Moscow, RussiaSmart Engines Service LLC, 117312 Moscow, RussiaFederal Research Center “Computer Science and Control” of Russian Academy of Sciences, 117312 Moscow, RussiaDeepXscan GmbH, 01109 Dresden, GermanyDetailed and accurate three-dimensional (3D) information about the morphology of hierarchically structured materials is derived from multi-scale X-ray computed tomography (XCT) and subsequent 3D data reconstruction. High-resolution X-ray microscopy and nano-XCT are suitable techniques to nondestructively study nanomaterials, including porous or skeleton materials. However, laboratory nano-XCT studies are very time-consuming. To reduce the time-to-data by more than an order of magnitude, we propose taking advantage of a monitored tomographic reconstruction. The benefit of this new protocol for 3D imaging is that the data acquisition for each projection is interspersed by image reconstruction. We demonstrate this new approach for nano-XCT data of a novel transition-metal-based materials system: MoNi<sub>4</sub> electrocatalysts anchored on MoO<sub>2</sub> cuboids aligned on Ni foam (MoNi<sub>4</sub>/MoO<sub>2</sub>@Ni). Quantitative data that describe the 3D morphology of this hierarchically structured system with an advanced electrocatalytically active nanomaterial are needed to tailor performance and durability of the electrocatalyst system. We present the framework for monitored tomographic reconstruction, construct three stopping rules for various reconstruction quality metrics and provide their experimental evaluation.https://www.mdpi.com/2079-4991/11/10/2524nano X-ray computed tomographyhierarchical structures3D morphologymonitored reconstructionstopping ruletime reducing
spellingShingle Konstantin Bulatov
Marina Chukalina
Kristina Kutukova
Vlad Kohan
Anastasia Ingacheva
Alexey Buzmakov
Vladimir V. Arlazarov
Ehrenfried Zschech
Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
Nanomaterials
nano X-ray computed tomography
hierarchical structures
3D morphology
monitored reconstruction
stopping rule
time reducing
title Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
title_full Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
title_fullStr Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
title_full_unstemmed Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
title_short Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
title_sort monitored tomographic reconstruction an advanced tool to study the 3d morphology of nanomaterials
topic nano X-ray computed tomography
hierarchical structures
3D morphology
monitored reconstruction
stopping rule
time reducing
url https://www.mdpi.com/2079-4991/11/10/2524
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