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Mass production-enabled computational spectrometers based on multilayer thin films
Multilayer thin film (MTF) filter arrays for computational spectroscopy are fabricated using stencil lithography. The MTF filter array is a 6 × 6 square grid, and 169 identical arrays are fabricated on a single wafer. A computational spectrometer is formed by attaching the MTF filter array on a comp...
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/PMC8904474/ https://www.ncbi.nlm.nih.gov/pubmed/35260730 http://dx.doi.org/10.1038/s41598-022-08037-y |
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author | Kim, Cheolsun Ni, Pavel Lee, Kang Ryeol Lee, Heung-No |
author_facet | Kim, Cheolsun Ni, Pavel Lee, Kang Ryeol Lee, Heung-No |
author_sort | Kim, Cheolsun |
collection | PubMed |
description | Multilayer thin film (MTF) filter arrays for computational spectroscopy are fabricated using stencil lithography. The MTF filter array is a 6 × 6 square grid, and 169 identical arrays are fabricated on a single wafer. A computational spectrometer is formed by attaching the MTF filter array on a complementary metal–oxide–semiconductor (CMOS) image sensor. With a single exposure, 36 unique intensities of incident light are collected. The spectrum of the incident light is recovered using collected intensities and numerical optimization techniques. Varied light sources in the wavelength range of 500 to 849 nm are recovered with a spacing of 1 nm. The reconstructed spectra are a good match with the reference spectra, measured by a grating-based spectrometer. We also demonstrate computational pinhole spectral imaging using the MTF filter array. Adapting a spectral scanning method, we collect 36 monochromatic filtered images and reconstructed 350 monochromatic images in the wavelength range of 500 to 849 nm, with a spacing of 1 nm. These computational spectrometers could be useful for various applications that require compact size, high resolution, and wide working range. |
format | Online Article Text |
id | pubmed-8904474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89044742022-03-09 Mass production-enabled computational spectrometers based on multilayer thin films Kim, Cheolsun Ni, Pavel Lee, Kang Ryeol Lee, Heung-No Sci Rep Article Multilayer thin film (MTF) filter arrays for computational spectroscopy are fabricated using stencil lithography. The MTF filter array is a 6 × 6 square grid, and 169 identical arrays are fabricated on a single wafer. A computational spectrometer is formed by attaching the MTF filter array on a complementary metal–oxide–semiconductor (CMOS) image sensor. With a single exposure, 36 unique intensities of incident light are collected. The spectrum of the incident light is recovered using collected intensities and numerical optimization techniques. Varied light sources in the wavelength range of 500 to 849 nm are recovered with a spacing of 1 nm. The reconstructed spectra are a good match with the reference spectra, measured by a grating-based spectrometer. We also demonstrate computational pinhole spectral imaging using the MTF filter array. Adapting a spectral scanning method, we collect 36 monochromatic filtered images and reconstructed 350 monochromatic images in the wavelength range of 500 to 849 nm, with a spacing of 1 nm. These computational spectrometers could be useful for various applications that require compact size, high resolution, and wide working range. Nature Publishing Group UK 2022-03-08 /pmc/articles/PMC8904474/ /pubmed/35260730 http://dx.doi.org/10.1038/s41598-022-08037-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 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 Kim, Cheolsun Ni, Pavel Lee, Kang Ryeol Lee, Heung-No Mass production-enabled computational spectrometers based on multilayer thin films |
title | Mass production-enabled computational spectrometers based on multilayer thin films |
title_full | Mass production-enabled computational spectrometers based on multilayer thin films |
title_fullStr | Mass production-enabled computational spectrometers based on multilayer thin films |
title_full_unstemmed | Mass production-enabled computational spectrometers based on multilayer thin films |
title_short | Mass production-enabled computational spectrometers based on multilayer thin films |
title_sort | mass production-enabled computational spectrometers based on multilayer thin films |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904474/ https://www.ncbi.nlm.nih.gov/pubmed/35260730 http://dx.doi.org/10.1038/s41598-022-08037-y |
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