Neutron sub-micrometre tomography from scattering data

IUCrJ. 2020 Aug 20;7(Pt 5):893-900. doi: 10.1107/S2052252520010295. eCollection 2020 Sep 1.

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.

Keywords: computed tomography; nanoscience; nanostructures; neutron diffraction; neutron scattering; phase retrieval.

Grants and funding

This work was funded by National Institute of Standards and Technology grant . U.S. Department of Energy grants 89243019SSC000025 and DE-FG02_97ER41042. Canada First Research Excellence Fund grant . Natural Sciences and Engineering Research Council of Canada grant . Canada Excellence Research Chairs, Government of Canada grant .