Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Dark-field tomography of an attenuating object using intrinsic x-ray speckle tracking10citations

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Chart of shared publication
Paganin, David
1 / 3 shared
Alloo, S. J.
1 / 1 shared
Pavlov, Konstantin
1 / 1 shared
Kitchen, Marcus
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Morgan, Kaye
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Heyang, Li
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Maksimenko, Anton
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Kennedy, Ben
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Stevenson, Andrew
1 / 3 shared
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2023

Co-Authors (by relevance)

  • Paganin, David
  • Alloo, S. J.
  • Pavlov, Konstantin
  • Kitchen, Marcus
  • Morgan, Kaye
  • Heyang, Li
  • Maksimenko, Anton
  • Kennedy, Ben
  • Stevenson, Andrew
OrganizationsLocationPeople

article

Dark-field tomography of an attenuating object using intrinsic x-ray speckle tracking

  • Paganin, David
  • Alloo, S. J.
  • Pavlov, Konstantin
  • Kitchen, Marcus
  • Morgan, Kaye
  • Heyang, Li
  • Maksimenko, Anton
  • Bowden, Josh
  • Kennedy, Ben
  • Stevenson, Andrew
Abstract

Purpose: We investigate how an intrinsic speckle tracking approach to speckle-based x-ray imaging is used to extract an object's effective dark-field (DF) signal, which is capable of providing object information in three dimensions.Approach: The effective DF signal was extracted using a Fokker-Planck type formalism, which models the deformations of illuminating reference beam speckles due to both coherent and diffusive scatter from the sample. Here, we assumed that (a) small-angle scattering fans at the exit surface of the sample are rotationally symmetric and (b) the object has both attenuating and refractive properties. The associated inverse problem of extracting the effective DF signal was numerically stabilized using a "weighted determinants" approach.Results: Effective DF projection images, as well as the DF tomographic reconstructions of the wood sample, are presented. DF tomography was performed using a filtered back projection reconstruction algorithm. The DF tomographic reconstructions of the wood sample provided complementary, and otherwise inaccessible, information to augment the phase contrast reconstructions, which were also computed.Conclusions: An intrinsic speckle tracking approach to speckle-based imaging can tomographically reconstruct an object's DF signal at a low sample exposure and with a simple experimental setup. The obtained DF reconstructions have an image quality comparable to alternative x-ray DF techniques. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)

Topics
  • impedance spectroscopy
  • surface
  • phase
  • tomography
  • wood