| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Liebi, Marianne
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Unveiling breast cancer metastasis through an advanced X-ray imaging approachcitations
- 2024Phase-separated polymer blends for controlled drug delivery by tuning morphologycitations
- 2024Iron-carbohydrate complexes treating iron anaemia: Understanding the nano-structure and interactions with proteins through orthogonal characterisationcitations
- 2023SAXS imaging reveals optimized osseointegration properties of bioengineered oriented 3D-PLGA/aCaP scaffolds in a critical size bone defect model.citations
- 2023Small-angle scattering tensor tomography algorithm for robust reconstruction of complex texturescitations
- 2022Photoresponsive movement in 3D printed cellulose nanocompositescitations
- 2022Amphiphilic polymer co-network: a versatile matrix for tailoring the photonic energy transfer in wearable energy harvesting devicescitations
- 2020Validation study of small-angle X-ray scattering tensor tomographycitations
- 2019High-speed tensor tomography: iterative reconstruction tensor tomography (IRTT) algorithmcitations
- 2018Small-angle X-ray scattering tensor tomography : Model of the three-dimensional reciprocal-space map, reconstruction algorithm and angular sampling requirementscitations
- 2018Bioinspired Structural Hierarchy within Macroscopic Volumes of Synthetic Compositescitations
- 2015Six-dimensional real and reciprocal space small-angle X-ray scattering tomographycitations
- 2015Nanostructure surveys of macroscopic specimens by small-angle scattering tensor tomographycitations
Places of action
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article
Six-dimensional real and reciprocal space small-angle X-ray scattering tomography
Abstract
<p>When used in combination with raster scanning, small-angle X-ray scattering (SAXS) has proven to be a valuable imaging technique of the nanoscale, for example of bone, teeth and brain matter. Although two-dimensional projection imaging has been used to characterize various materials successfully, its three-dimensional extension, SAXS computed tomography, poses substantial challenges, which have yet to be overcome. Previous work using SAXS computed tomography was unable to preserve oriented SAXS signals during reconstruction. Here we present a solution to this problem and obtain a complete SAXS computed tomography, which preserves oriented scattering information. By introducing virtual tomography axes, we take advantage of the two-dimensional SAXS information recorded on an area detector and use it to reconstruct the full three-dimensional scattering distribution in reciprocal space for each voxel of the three-dimensional object in real space. The presented method could be of interest for a combined six-dimensional real and reciprocal space characterization of mesoscopic materials with hierarchically structured features with length scales ranging from a few nanometres to a few millimetres - for example, biomaterials such as bone or teeth, or functional materials such as fuel-cell or battery components.</p>