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Author |
Kavak, S.; Kadu, A.A.; Claes, N.; Sánchez-Iglesias, A.; Liz-Marzán, L.M.; Batenburg, K.J.; Bals, S. |
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Title |
Quantitative 3D Investigation of Nanoparticle Assemblies by Volumetric Segmentation of Electron Tomography Data Sets |
Type  |
A1 Journal article |
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Year |
2023 |
Publication |
The journal of physical chemistry: C : nanomaterials and interfaces |
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Volume |
127 |
Issue |
20 |
Pages |
9725-9734 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Abstract |
Morphological characterization of nanoparticle assemblies and hybrid nanomaterials is critical in determining their structure-property relationships as well as in the development of structures with desired properties. Electron tomography has become a widely utilized technique for the three-dimensional characterization of nanoparticle assemblies. However, the extraction of quantitative morphological parameters from the reconstructed volume can be a complex and labor-intensive task. In this study, we aim to overcome this challenge by automating the volumetric segmentation process applied to three-dimensional reconstructions of nanoparticle assemblies. The key to enabling automated characterization is to assess the performance of different volumetric segmentation methods in accurately extracting predefined quantitative descriptors for morphological characterization. In our methodology, we compare the quantitative descriptors obtained through manual segmentation with those obtained through automated segmentation methods, to evaluate their accuracy and effectiveness. To show generality, our study focuses on the characterization of assemblies of CdSe/CdS quantum dots, gold nanospheres and CdSe/CdS encapsulated in polymeric micelles, and silica-coated gold nanorods decorated with both CdSe/CdS or PbS quantum dots. We use two unsupervised segmentation algorithms: the watershed transform and the spherical Hough transform. Our results demonstrate that the choice of automated segmentation method is crucial for accurately extracting the predefined quantitative descriptors. Specifically, the spherical Hough transform exhibits superior performance in accurately extracting quantitative descriptors, such as particle size and interparticle distance, thereby allowing for an objective, efficient, and reliable volumetric segmentation of complex nanoparticle assemblies. |
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Wos |
000991752700001 |
Publication Date |
2023-05-25 |
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ISSN |
1932-7447 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
3.7 |
Times cited |
2 |
Open Access |
OpenAccess |
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Notes |
Fonds Wetenschappelijk Onderzoek, 1181122N ; Horizon 2020 Framework Programme, 861950 ; H2020 European Research Council, 815128 ; |
Approved |
Most recent IF: 3.7; 2023 IF: 4.536 |
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Call Number |
EMAT @ emat @c:irua:196971 |
Serial |
8793 |
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Author |
Kadu, A.; Lucka, F.; Batenburg, K.J. |
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Title |
Single-shot tomography of discrete dynamic objects |
Type |
A1 Journal article |
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Year |
2024 |
Publication |
IEEE transactions on computational imaging |
Abbreviated Journal |
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Volume |
10 |
Issue |
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Pages |
941-952 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Abstract |
This paper presents a novel method for the reconstruction of high-resolution temporal images in dynamic tomographic imaging, particularly for discrete objects with smooth boundaries that vary over time. Addressing the challenge of limited measurements per time point, we propose a technique that incorporates spatial and temporal information of the dynamic objects. Our method uses the explicit assumption of homogeneous attenuation values of discrete objects. We achieve this computationally through the application of the level-set method for image segmentation and the representation of motion via a sinusoidal basis. The result is a computationally efficient and easily optimizable variational framework that enables the reconstruction of high-quality 2D or 3D image sequences with a single projection per frame. Compared to variational regularization-based methods using similar image models, our approach demonstrates superior performance on both synthetic and pseudo-dynamic real X-ray tomography datasets. The implications of this research extend to improved visualization and analysis of dynamic processes in tomographic imaging, finding potential applications in diverse scientific and industrial domains. The supporting data and code are provided. |
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https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=brocade2&SrcAuth=WosAPI&KeyUT=WOS:001256 |
Publication Date |
2024-06-13 |
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ISSN |
2573-0436; 2333-9403 |
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Additional Links |
UA library record; WoS full record; WoS full record |
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Impact Factor |
5.4 |
Times cited |
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Open Access |
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Approved |
Most recent IF: 5.4; 2024 IF: NA |
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Call Number |
UA @ admin @ c:irua:207017 |
Serial |
9315 |
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Author |
Batenburg, K.J.; Bals, S.; Sijbers, J.; Van Tendeloo, G. |
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Title |
DART explained: how to carry out a discrete tomography reconstruction |
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P1 Proceeding |
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2008 |
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295-296 |
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P1 Proceeding; Electron microscopy for materials research (EMAT); Vision lab |
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Springer |
Place of Publication |
Berlin |
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0000-00-00 |
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978-3-540-85154-7 |
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Additional Links |
UA library record |
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Impact Factor |
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Times cited |
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Open Access |
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Notes |
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Approved |
Most recent IF: NA |
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Call Number |
UA @ lucian @ c:irua:77914 |
Serial |
606 |
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Author |
Van Eyndhoven, G.; Batenburg, K.J.; van Oers, C.; Kurttepeli, M.; Bals, S.; Cool, P.; Sijbers, J. |
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Title |
Reliable pore-size measurements based on a procedure specifically designed for electron tomography measurements of nanoporous samples |
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P3 Proceeding |
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Year |
2014 |
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Keywords |
P3 Proceeding; Electron microscopy for materials research (EMAT); Vision lab; Laboratory of adsorption and catalysis (LADCA) |
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S.l. |
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0000-00-00 |
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UA library record |
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Most recent IF: NA |
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Call Number |
UA @ lucian @ c:irua:124548 |
Serial |
2866 |
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