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Mid-infrared single-pixel imaging at the single-photon level
Single-pixel cameras have recently emerged as promising alternatives to multi-pixel sensors due to reduced costs and superior durability, which are particularly attractive for mid-infrared (MIR) imaging pertinent to applications including industry inspection and biomedical diagnosis. To date, MIR si...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968282/ https://www.ncbi.nlm.nih.gov/pubmed/36841860 http://dx.doi.org/10.1038/s41467-023-36815-3 |
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author | Wang, Yinqi Huang, Kun Fang, Jianan Yan, Ming Wu, E Zeng, Heping |
author_facet | Wang, Yinqi Huang, Kun Fang, Jianan Yan, Ming Wu, E Zeng, Heping |
author_sort | Wang, Yinqi |
collection | PubMed |
description | Single-pixel cameras have recently emerged as promising alternatives to multi-pixel sensors due to reduced costs and superior durability, which are particularly attractive for mid-infrared (MIR) imaging pertinent to applications including industry inspection and biomedical diagnosis. To date, MIR single-pixel photon-sparse imaging has yet been realized, which urgently calls for high-sensitivity optical detectors and high-fidelity spatial modulators. Here, we demonstrate a MIR single-photon computational imaging with a single-element silicon detector. The underlying methodology relies on nonlinear structured detection, where encoded time-varying pump patterns are optically imprinted onto a MIR object image through sum-frequency generation. Simultaneously, the MIR radiation is spectrally translated into the visible region, thus permitting infrared single-photon upconversion detection. Then, the use of advanced algorithms of compressed sensing and deep learning allows us to reconstruct MIR images under sub-Nyquist sampling and photon-starving illumination. The presented paradigm of single-pixel upconversion imaging is featured with single-pixel simplicity, single-photon sensitivity, and room-temperature operation, which would establish a new path for sensitive imaging at longer infrared wavelengths or terahertz frequencies, where high-sensitivity photon counters and high-fidelity spatial modulators are typically hard to access. |
format | Online Article Text |
id | pubmed-9968282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99682822023-02-27 Mid-infrared single-pixel imaging at the single-photon level Wang, Yinqi Huang, Kun Fang, Jianan Yan, Ming Wu, E Zeng, Heping Nat Commun Article Single-pixel cameras have recently emerged as promising alternatives to multi-pixel sensors due to reduced costs and superior durability, which are particularly attractive for mid-infrared (MIR) imaging pertinent to applications including industry inspection and biomedical diagnosis. To date, MIR single-pixel photon-sparse imaging has yet been realized, which urgently calls for high-sensitivity optical detectors and high-fidelity spatial modulators. Here, we demonstrate a MIR single-photon computational imaging with a single-element silicon detector. The underlying methodology relies on nonlinear structured detection, where encoded time-varying pump patterns are optically imprinted onto a MIR object image through sum-frequency generation. Simultaneously, the MIR radiation is spectrally translated into the visible region, thus permitting infrared single-photon upconversion detection. Then, the use of advanced algorithms of compressed sensing and deep learning allows us to reconstruct MIR images under sub-Nyquist sampling and photon-starving illumination. The presented paradigm of single-pixel upconversion imaging is featured with single-pixel simplicity, single-photon sensitivity, and room-temperature operation, which would establish a new path for sensitive imaging at longer infrared wavelengths or terahertz frequencies, where high-sensitivity photon counters and high-fidelity spatial modulators are typically hard to access. Nature Publishing Group UK 2023-02-25 /pmc/articles/PMC9968282/ /pubmed/36841860 http://dx.doi.org/10.1038/s41467-023-36815-3 Text en © The Author(s) 2023 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 Wang, Yinqi Huang, Kun Fang, Jianan Yan, Ming Wu, E Zeng, Heping Mid-infrared single-pixel imaging at the single-photon level |
title | Mid-infrared single-pixel imaging at the single-photon level |
title_full | Mid-infrared single-pixel imaging at the single-photon level |
title_fullStr | Mid-infrared single-pixel imaging at the single-photon level |
title_full_unstemmed | Mid-infrared single-pixel imaging at the single-photon level |
title_short | Mid-infrared single-pixel imaging at the single-photon level |
title_sort | mid-infrared single-pixel imaging at the single-photon level |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968282/ https://www.ncbi.nlm.nih.gov/pubmed/36841860 http://dx.doi.org/10.1038/s41467-023-36815-3 |
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