Cargando…
Neutron sub-micrometre tomography from scattering data
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 t...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467166/ https://www.ncbi.nlm.nih.gov/pubmed/32939281 http://dx.doi.org/10.1107/S2052252520010295 |
_version_ | 1783577960250343424 |
---|---|
author | Heacock, B. Sarenac, D. Cory, D. G. Huber, M. G. MacLean, J. P. W. Miao, H. Wen, H. Pushin, D. A. |
author_facet | Heacock, B. Sarenac, D. Cory, D. G. Huber, M. G. MacLean, J. P. W. Miao, H. Wen, H. Pushin, D. A. |
author_sort | Heacock, B. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7467166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-74671662020-09-15 Neutron sub-micrometre tomography from scattering data Heacock, B. Sarenac, D. Cory, D. G. Huber, M. G. MacLean, J. P. W. Miao, H. Wen, H. Pushin, D. A. IUCrJ Research Papers 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. International Union of Crystallography 2020-08-20 /pmc/articles/PMC7467166/ /pubmed/32939281 http://dx.doi.org/10.1107/S2052252520010295 Text en © Heacock et al. 2020 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Research Papers Heacock, B. Sarenac, D. Cory, D. G. Huber, M. G. MacLean, J. P. W. Miao, H. Wen, H. Pushin, D. A. Neutron sub-micrometre tomography from scattering data |
title | Neutron sub-micrometre tomography from scattering data |
title_full | Neutron sub-micrometre tomography from scattering data |
title_fullStr | Neutron sub-micrometre tomography from scattering data |
title_full_unstemmed | Neutron sub-micrometre tomography from scattering data |
title_short | Neutron sub-micrometre tomography from scattering data |
title_sort | neutron sub-micrometre tomography from scattering data |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467166/ https://www.ncbi.nlm.nih.gov/pubmed/32939281 http://dx.doi.org/10.1107/S2052252520010295 |
work_keys_str_mv | AT heacockb neutronsubmicrometretomographyfromscatteringdata AT sarenacd neutronsubmicrometretomographyfromscatteringdata AT corydg neutronsubmicrometretomographyfromscatteringdata AT hubermg neutronsubmicrometretomographyfromscatteringdata AT macleanjpw neutronsubmicrometretomographyfromscatteringdata AT miaoh neutronsubmicrometretomographyfromscatteringdata AT wenh neutronsubmicrometretomographyfromscatteringdata AT pushinda neutronsubmicrometretomographyfromscatteringdata |