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Neutron sub-micrometre tomography from scattering data

  • B. Heacock
  • , D. Sarenac
  • , D. G. Cory
  • , M. G. Huber
  • , J. P.W. MacLean
  • , H. Miao
  • , H. Wen
  • , D. A. Pushin
  • North Carolina State University
  • Triangle Universities Nuclear Laboratory
  • University of Waterloo
  • Perimeter Institute for Theoretical Physics
  • Canadian Institute for Advanced Research
  • National Institute of Standards and Technology
  • National Institutes of Health

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Neutrons are valuable probes for various material samples across many areas of research. Neutron imaging typically has a spatial resolution of larger than 20 μm, whereas neutron scattering is sensitive to smaller features but does not provide a real-space image of the sample. A computed-tomography technique is demonstrated that uses neutron-scattering data to generate an image of a periodic sample with a spatial resolution of ∼300 nm. The achieved resolution is over an order of magnitude smaller than the resolution of other forms of neutron tomography. This method consists of measuring neutron diffraction using a double-crystal diffractometer as a function of sample rotation and then using a phase-retrieval algorithm followed by tomographic reconstruction to generate a map of the sample's scattering-length density. Topological features found in the reconstructions are confirmed with scanning electron micrographs. This technique should be applicable to any sample that generates clear neutron-diffraction patterns, including nanofabricated samples, biological membranes and magnetic materials, such as skyrmion lattices.

Original languageEnglish
Pages (from-to)893-900
Number of pages8
JournalIUCrJ
Volume7
DOIs
StatePublished - 2020

Keywords

  • Cnanoscience
  • Computed tomography
  • Nanostructures
  • Neutron diffraction
  • Neutron scattering
  • Phase retrieval

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