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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MDPI AG
2021-09-01
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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. |
first_indexed | 2024-03-10T06:20:00Z |
format | Article |
id | doaj.art-42db32889b20415a9c2bd6d13f100a7c |
institution | Directory Open Access Journal |
issn | 2079-4991 |
language | English |
last_indexed | 2024-03-10T06:20:00Z |
publishDate | 2021-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Nanomaterials |
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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