Single-Shot X-Ray Speckle-Based Imaging of a Single-Material Object

Konstantin M. Pavlov, Heyang (Thomas) Li, David M. Paganin, Sebastien Berujon, Hélène Rougé-Labriet, and Emmanuel Brun
Phys. Rev. Applied 13, 054023 – Published 11 May 2020

Abstract

We develop a means for speckle-based phase imaging of the projected thickness of a single-material object, under the assumption of illumination by spatially random time-independent x-ray speckles. These speckles are generated by passing x rays through a suitable spatially random mask. The method makes use of a single image obtained in the presence of the object, which serves to deform the illuminating speckle field relative to a reference speckle field (which only needs to be measured once) obtained in the presence of the mask and the absence of the object. The method implicitly rather than explicitly tracks speckles and utilizes the transport-of-intensity equation to give a closed-form solution to the inverse problem of determining the complex transmission function of the object. Implementation using x-ray synchrotron data shows the method to be robust and efficient with respect to noise. Applications include x-ray phase-amplitude radiography and tomography, as well as time-dependent imaging of dynamic and radiation-sensitive samples using low-flux sources.

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  • Received 4 August 2019
  • Revised 28 February 2020
  • Accepted 1 April 2020

DOI:https://doi.org/10.1103/PhysRevApplied.13.054023

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalCondensed Matter, Materials & Applied PhysicsAccelerators & BeamsInterdisciplinary PhysicsPhysics of Living Systems

Authors & Affiliations

Konstantin M. Pavlov1,2,3,*, Heyang (Thomas) Li2,4, David M. Paganin2, Sebastien Berujon5, Hélène Rougé-Labriet6,7, and Emmanuel Brun7

  • 1School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
  • 2School of Physics and Astronomy, Monash University, Victoria 3800, Australia
  • 3School of Science and Technology, University of New England, New South Wales 2351, Australia
  • 4School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
  • 5European Synchrotron Radiation Facility, 38043 Grenoble, France
  • 6Novitom, 3 av doyen Louis Weil, 38000 Grenoble, France
  • 7Inserm UA7 STROBE, Université Grenoble Alpes, 38000 Grenoble, France

  • *konstantin.pavlov@canterbury.ac.nz

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Vol. 13, Iss. 5 — May 2020

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