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X-ray-to-visible light-field detection through pixelated colour conversion
Light-field detection measures both the intensity of light rays and their precise direction in free space. However, current light-field detection techniques either require complex microlens arrays or are limited to the ultraviolet–visible light wavelength ranges(1–4). Here we present a robust, scala...
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/PMC10247359/ https://www.ncbi.nlm.nih.gov/pubmed/37165192 http://dx.doi.org/10.1038/s41586-023-05978-w |
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author | Yi, Luying Hou, Bo Zhao, He Liu, Xiaogang |
author_facet | Yi, Luying Hou, Bo Zhao, He Liu, Xiaogang |
author_sort | Yi, Luying |
collection | PubMed |
description | Light-field detection measures both the intensity of light rays and their precise direction in free space. However, current light-field detection techniques either require complex microlens arrays or are limited to the ultraviolet–visible light wavelength ranges(1–4). Here we present a robust, scalable method based on lithographically patterned perovskite nanocrystal arrays that can be used to determine radiation vectors from X-rays to visible light (0.002–550 nm). With these multicolour nanocrystal arrays, light rays from specific directions can be converted into pixelated colour outputs with an angular resolution of 0.0018°. We find that three-dimensional light-field detection and spatial positioning of light sources are possible by modifying nanocrystal arrays with specific orientations. We also demonstrate three-dimensional object imaging and visible light and X-ray phase-contrast imaging by combining pixelated nanocrystal arrays with a colour charge-coupled device. The ability to detect light direction beyond optical wavelengths through colour-contrast encoding could enable new applications, for example, in three-dimensional phase-contrast imaging, robotics, virtual reality, tomographic biological imaging and satellite autonomous navigation. |
format | Online Article Text |
id | pubmed-10247359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102473592023-06-09 X-ray-to-visible light-field detection through pixelated colour conversion Yi, Luying Hou, Bo Zhao, He Liu, Xiaogang Nature Article Light-field detection measures both the intensity of light rays and their precise direction in free space. However, current light-field detection techniques either require complex microlens arrays or are limited to the ultraviolet–visible light wavelength ranges(1–4). Here we present a robust, scalable method based on lithographically patterned perovskite nanocrystal arrays that can be used to determine radiation vectors from X-rays to visible light (0.002–550 nm). With these multicolour nanocrystal arrays, light rays from specific directions can be converted into pixelated colour outputs with an angular resolution of 0.0018°. We find that three-dimensional light-field detection and spatial positioning of light sources are possible by modifying nanocrystal arrays with specific orientations. We also demonstrate three-dimensional object imaging and visible light and X-ray phase-contrast imaging by combining pixelated nanocrystal arrays with a colour charge-coupled device. The ability to detect light direction beyond optical wavelengths through colour-contrast encoding could enable new applications, for example, in three-dimensional phase-contrast imaging, robotics, virtual reality, tomographic biological imaging and satellite autonomous navigation. Nature Publishing Group UK 2023-05-10 2023 /pmc/articles/PMC10247359/ /pubmed/37165192 http://dx.doi.org/10.1038/s41586-023-05978-w 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yi, Luying Hou, Bo Zhao, He Liu, Xiaogang X-ray-to-visible light-field detection through pixelated colour conversion |
title | X-ray-to-visible light-field detection through pixelated colour conversion |
title_full | X-ray-to-visible light-field detection through pixelated colour conversion |
title_fullStr | X-ray-to-visible light-field detection through pixelated colour conversion |
title_full_unstemmed | X-ray-to-visible light-field detection through pixelated colour conversion |
title_short | X-ray-to-visible light-field detection through pixelated colour conversion |
title_sort | x-ray-to-visible light-field detection through pixelated colour conversion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247359/ https://www.ncbi.nlm.nih.gov/pubmed/37165192 http://dx.doi.org/10.1038/s41586-023-05978-w |
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