Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784689174609133568
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
work_keys_str_mv AT fanqingbin trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT xuweizhu trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT huxuemei trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT zhuwenqi trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT yuetao trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT zhangcheng trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT yanfeng trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT chenlu trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT lezechenrij trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT luyanqing trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT agrawalamit trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield
AT xuting trilobiteinspiredneuralnanophotoniclightfieldcamerawithextremedepthoffield