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Review of Miniaturized Computational Spectrometers
Spectrometers are key instruments in diverse fields, notably in medical and biosensing applications. Recent advancements in nanophotonics and computational techniques have contributed to new spectrometer designs characterized by miniaturization and enhanced performance. This paper presents a compreh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649566/ https://www.ncbi.nlm.nih.gov/pubmed/37960467 http://dx.doi.org/10.3390/s23218768 |
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author | Guan, Qingze Lim, Zi Heng Sun, Haoyang Chew, Jeremy Xuan Yu Zhou, Guangya |
author_facet | Guan, Qingze Lim, Zi Heng Sun, Haoyang Chew, Jeremy Xuan Yu Zhou, Guangya |
author_sort | Guan, Qingze |
collection | PubMed |
description | Spectrometers are key instruments in diverse fields, notably in medical and biosensing applications. Recent advancements in nanophotonics and computational techniques have contributed to new spectrometer designs characterized by miniaturization and enhanced performance. This paper presents a comprehensive review of miniaturized computational spectrometers (MCS). We examine major MCS designs based on waveguides, random structures, nanowires, photonic crystals, and more. Additionally, we delve into computational methodologies that facilitate their operation, including compressive sensing and deep learning. We also compare various structural models and highlight their unique features. This review also emphasizes the growing applications of MCS in biosensing and consumer electronics and provides a thoughtful perspective on their future potential. Lastly, we discuss potential avenues for future research and applications. |
format | Online Article Text |
id | pubmed-10649566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106495662023-10-27 Review of Miniaturized Computational Spectrometers Guan, Qingze Lim, Zi Heng Sun, Haoyang Chew, Jeremy Xuan Yu Zhou, Guangya Sensors (Basel) Review Spectrometers are key instruments in diverse fields, notably in medical and biosensing applications. Recent advancements in nanophotonics and computational techniques have contributed to new spectrometer designs characterized by miniaturization and enhanced performance. This paper presents a comprehensive review of miniaturized computational spectrometers (MCS). We examine major MCS designs based on waveguides, random structures, nanowires, photonic crystals, and more. Additionally, we delve into computational methodologies that facilitate their operation, including compressive sensing and deep learning. We also compare various structural models and highlight their unique features. This review also emphasizes the growing applications of MCS in biosensing and consumer electronics and provides a thoughtful perspective on their future potential. Lastly, we discuss potential avenues for future research and applications. MDPI 2023-10-27 /pmc/articles/PMC10649566/ /pubmed/37960467 http://dx.doi.org/10.3390/s23218768 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Guan, Qingze Lim, Zi Heng Sun, Haoyang Chew, Jeremy Xuan Yu Zhou, Guangya Review of Miniaturized Computational Spectrometers |
title | Review of Miniaturized Computational Spectrometers |
title_full | Review of Miniaturized Computational Spectrometers |
title_fullStr | Review of Miniaturized Computational Spectrometers |
title_full_unstemmed | Review of Miniaturized Computational Spectrometers |
title_short | Review of Miniaturized Computational Spectrometers |
title_sort | review of miniaturized computational spectrometers |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649566/ https://www.ncbi.nlm.nih.gov/pubmed/37960467 http://dx.doi.org/10.3390/s23218768 |
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