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Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding
Recently, computational sampling methods have been implemented to spatially characterize terahertz (THz) fields. Previous methods usually rely on either specialized THz devices such as THz spatial light modulators or complicated systems requiring assistance from photon-excited free carriers with hig...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559961/ https://www.ncbi.nlm.nih.gov/pubmed/31231521 http://dx.doi.org/10.1038/s41377-019-0166-6 |
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author | Zhao, Jiapeng E, Yiwen Williams, Kaia Zhang, Xi-Cheng Boyd, Robert W. |
author_facet | Zhao, Jiapeng E, Yiwen Williams, Kaia Zhang, Xi-Cheng Boyd, Robert W. |
author_sort | Zhao, Jiapeng |
collection | PubMed |
description | Recently, computational sampling methods have been implemented to spatially characterize terahertz (THz) fields. Previous methods usually rely on either specialized THz devices such as THz spatial light modulators or complicated systems requiring assistance from photon-excited free carriers with high-speed synchronization among multiple optical beams. Here, by spatially encoding an 800-nm near-infrared (NIR) probe beam through the use of an optical SLM, we demonstrate a simple sampling approach that can probe THz fields with a single-pixel camera. This design does not require any dedicated THz devices, semiconductors or nanofilms to modulate THz fields. Using computational algorithms, we successfully measure 128 × 128 field distributions with a 62-μm transverse spatial resolution, which is 15 times smaller than the central wavelength of the THz signal (940 μm). Benefitting from the non-invasive nature of THz radiation and sub-wavelength resolution of our system, this simple approach can be used in applications such as biomedical sensing, inspection of flaws in industrial products, and so on. |
format | Online Article Text |
id | pubmed-6559961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65599612019-06-21 Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding Zhao, Jiapeng E, Yiwen Williams, Kaia Zhang, Xi-Cheng Boyd, Robert W. Light Sci Appl Article Recently, computational sampling methods have been implemented to spatially characterize terahertz (THz) fields. Previous methods usually rely on either specialized THz devices such as THz spatial light modulators or complicated systems requiring assistance from photon-excited free carriers with high-speed synchronization among multiple optical beams. Here, by spatially encoding an 800-nm near-infrared (NIR) probe beam through the use of an optical SLM, we demonstrate a simple sampling approach that can probe THz fields with a single-pixel camera. This design does not require any dedicated THz devices, semiconductors or nanofilms to modulate THz fields. Using computational algorithms, we successfully measure 128 × 128 field distributions with a 62-μm transverse spatial resolution, which is 15 times smaller than the central wavelength of the THz signal (940 μm). Benefitting from the non-invasive nature of THz radiation and sub-wavelength resolution of our system, this simple approach can be used in applications such as biomedical sensing, inspection of flaws in industrial products, and so on. Nature Publishing Group UK 2019-06-12 /pmc/articles/PMC6559961/ /pubmed/31231521 http://dx.doi.org/10.1038/s41377-019-0166-6 Text en © The Author(s) 2019 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/. |
spellingShingle | Article Zhao, Jiapeng E, Yiwen Williams, Kaia Zhang, Xi-Cheng Boyd, Robert W. Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
title | Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
title_full | Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
title_fullStr | Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
title_full_unstemmed | Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
title_short | Spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
title_sort | spatial sampling of terahertz fields with sub-wavelength accuracy via probe-beam encoding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559961/ https://www.ncbi.nlm.nih.gov/pubmed/31231521 http://dx.doi.org/10.1038/s41377-019-0166-6 |
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