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Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field
A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina socialis, may enable them to be sensitive to the light-field information and simultaneously perceive both close and distant objects in the environment. Here, inspired by the optical structure of their eyes, w...
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/PMC9019092/ https://www.ncbi.nlm.nih.gov/pubmed/35440101 http://dx.doi.org/10.1038/s41467-022-29568-y |
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author | Fan, Qingbin Xu, Weizhu Hu, Xuemei Zhu, Wenqi Yue, Tao Zhang, Cheng Yan, Feng Chen, Lu Lezec, Henri J. Lu, Yanqing Agrawal, Amit Xu, Ting |
author_facet | Fan, Qingbin Xu, Weizhu Hu, Xuemei Zhu, Wenqi Yue, Tao Zhang, Cheng Yan, Feng Chen, Lu Lezec, Henri J. Lu, Yanqing Agrawal, Amit Xu, Ting |
author_sort | Fan, Qingbin |
collection | PubMed |
description | A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina socialis, may enable them to be sensitive to the light-field information and simultaneously perceive both close and distant objects in the environment. Here, inspired by the optical structure of their eyes, we demonstrate a nanophotonic light-field camera incorporating a spin-multiplexed bifocal metalens array capable of capturing high-resolution light-field images over a record depth-of-field ranging from centimeter to kilometer scale, simultaneously enabling macro and telephoto modes in a snapshot imaging. By leveraging a multi-scale convolutional neural network-based reconstruction algorithm, optical aberrations induced by the metalens are eliminated, thereby significantly relaxing the design and performance limitations on metasurface optics. The elegant integration of nanophotonic technology with computational photography achieved here is expected to aid development of future high-performance imaging systems. |
format | Online Article Text |
id | pubmed-9019092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90190922022-04-28 Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field Fan, Qingbin Xu, Weizhu Hu, Xuemei Zhu, Wenqi Yue, Tao Zhang, Cheng Yan, Feng Chen, Lu Lezec, Henri J. Lu, Yanqing Agrawal, Amit Xu, Ting Nat Commun Article A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina socialis, may enable them to be sensitive to the light-field information and simultaneously perceive both close and distant objects in the environment. Here, inspired by the optical structure of their eyes, we demonstrate a nanophotonic light-field camera incorporating a spin-multiplexed bifocal metalens array capable of capturing high-resolution light-field images over a record depth-of-field ranging from centimeter to kilometer scale, simultaneously enabling macro and telephoto modes in a snapshot imaging. By leveraging a multi-scale convolutional neural network-based reconstruction algorithm, optical aberrations induced by the metalens are eliminated, thereby significantly relaxing the design and performance limitations on metasurface optics. The elegant integration of nanophotonic technology with computational photography achieved here is expected to aid development of future high-performance imaging systems. Nature Publishing Group UK 2022-04-19 /pmc/articles/PMC9019092/ /pubmed/35440101 http://dx.doi.org/10.1038/s41467-022-29568-y 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 Fan, Qingbin Xu, Weizhu Hu, Xuemei Zhu, Wenqi Yue, Tao Zhang, Cheng Yan, Feng Chen, Lu Lezec, Henri J. Lu, Yanqing Agrawal, Amit Xu, Ting Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
title | Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
title_full | Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
title_fullStr | Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
title_full_unstemmed | Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
title_short | Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
title_sort | trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019092/ https://www.ncbi.nlm.nih.gov/pubmed/35440101 http://dx.doi.org/10.1038/s41467-022-29568-y |
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