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Parallel detection and spatial mapping of large nuclear spin clusters
Nuclear magnetic resonance imaging (MRI) at the atomic scale offers exciting prospects for determining the structure and function of individual molecules and proteins. Quantum defects in diamond have recently emerged as a promising platform towards reaching this goal, and allowed for the detection a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913684/ https://www.ncbi.nlm.nih.gov/pubmed/35273190 http://dx.doi.org/10.1038/s41467-022-28935-z |
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author | Cujia, K. S. Herb, K. Zopes, J. Abendroth, J. M. Degen, C. L. |
author_facet | Cujia, K. S. Herb, K. Zopes, J. Abendroth, J. M. Degen, C. L. |
author_sort | Cujia, K. S. |
collection | PubMed |
description | Nuclear magnetic resonance imaging (MRI) at the atomic scale offers exciting prospects for determining the structure and function of individual molecules and proteins. Quantum defects in diamond have recently emerged as a promising platform towards reaching this goal, and allowed for the detection and localization of single nuclear spins under ambient conditions. Here, we present an efficient strategy for extending imaging to large nuclear spin clusters, fulfilling an important requirement towards a single-molecule MRI technique. Our method combines the concepts of weak quantum measurements, phase encoding and simulated annealing to detect three-dimensional positions from many nuclei in parallel. Detection is spatially selective, allowing us to probe nuclei at a chosen target radius while avoiding interference from strongly-coupled proximal nuclei. We demonstrate our strategy by imaging clusters containing more than 20 carbon-13 nuclear spins within a radius of 2.4 nm from single, near-surface nitrogen–vacancy centers at room temperature. The radius extrapolates to 5–6 nm for (1)H. Beside taking an important step in nanoscale MRI, our experiment also provides an efficient tool for the characterization of large nuclear spin registers in the context of quantum simulators and quantum network nodes. |
format | Online Article Text |
id | pubmed-8913684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89136842022-04-01 Parallel detection and spatial mapping of large nuclear spin clusters Cujia, K. S. Herb, K. Zopes, J. Abendroth, J. M. Degen, C. L. Nat Commun Article Nuclear magnetic resonance imaging (MRI) at the atomic scale offers exciting prospects for determining the structure and function of individual molecules and proteins. Quantum defects in diamond have recently emerged as a promising platform towards reaching this goal, and allowed for the detection and localization of single nuclear spins under ambient conditions. Here, we present an efficient strategy for extending imaging to large nuclear spin clusters, fulfilling an important requirement towards a single-molecule MRI technique. Our method combines the concepts of weak quantum measurements, phase encoding and simulated annealing to detect three-dimensional positions from many nuclei in parallel. Detection is spatially selective, allowing us to probe nuclei at a chosen target radius while avoiding interference from strongly-coupled proximal nuclei. We demonstrate our strategy by imaging clusters containing more than 20 carbon-13 nuclear spins within a radius of 2.4 nm from single, near-surface nitrogen–vacancy centers at room temperature. The radius extrapolates to 5–6 nm for (1)H. Beside taking an important step in nanoscale MRI, our experiment also provides an efficient tool for the characterization of large nuclear spin registers in the context of quantum simulators and quantum network nodes. Nature Publishing Group UK 2022-03-10 /pmc/articles/PMC8913684/ /pubmed/35273190 http://dx.doi.org/10.1038/s41467-022-28935-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cujia, K. S. Herb, K. Zopes, J. Abendroth, J. M. Degen, C. L. Parallel detection and spatial mapping of large nuclear spin clusters |
title | Parallel detection and spatial mapping of large nuclear spin clusters |
title_full | Parallel detection and spatial mapping of large nuclear spin clusters |
title_fullStr | Parallel detection and spatial mapping of large nuclear spin clusters |
title_full_unstemmed | Parallel detection and spatial mapping of large nuclear spin clusters |
title_short | Parallel detection and spatial mapping of large nuclear spin clusters |
title_sort | parallel detection and spatial mapping of large nuclear spin clusters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913684/ https://www.ncbi.nlm.nih.gov/pubmed/35273190 http://dx.doi.org/10.1038/s41467-022-28935-z |
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