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Interpretation and Utility of the Moments of Small-Angle X-Ray Scattering Distributions.
Modregger, Peter; Kagias, Matias; Irvine, Sarah C; Brönnimann, Rolf; Jefimovs, Konstantins; Endrizzi, Marco; Olivo, Alessandro.
Afiliação
  • Modregger P; Department of Medical Physics and Bioengineering, University College London, Gower Street, WC1E 6BT London, United Kingdom.
  • Kagias M; Swiss Light Source, Paul Scherrer Institut, 5232 Villigen, Switzerland.
  • Irvine SC; Institute for Biomedical Engineering, UZH/ETH Zürich, 8092 Zürich, Switzerland.
  • Brönnimann R; Diamond Light Source, Harwell Science and Innovation Campus, Didcot, OX11 0DE Oxfordshire, United Kingdom.
  • Jefimovs K; Empa, Swiss Federal Laboratories for Materials Science and Technology, Reliability Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
  • Endrizzi M; Swiss Light Source, Paul Scherrer Institut, 5232 Villigen, Switzerland.
  • Olivo A; Institute for Biomedical Engineering, UZH/ETH Zürich, 8092 Zürich, Switzerland.
Phys Rev Lett ; 118(26): 265501, 2017 Jun 30.
Article em En | MEDLINE | ID: mdl-28707948
Small angle x-ray scattering has been proven to be a valuable method for accessing structural information below the spatial resolution limit implied by direct imaging. Here, we theoretically derive the relation that links the subpixel differential phase signal provided by the sample to the moments of scattering distributions accessible by refraction sensitive x-ray imaging techniques. As an important special case we explain the scatter or dark-field contrast in terms of the sample's phase signal. Further, we establish that, for binary phase objects, the nth moment scales with the difference of the refractive index decrement to the power of n. Finally, we experimentally demonstrate the utility of the moments by quantitatively determining the particle sizes of a range of powders with a laboratory-based setup.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article