Snapshot spectral imaging: from spatial-spectral mapping to metasurface-based imaging
Abstract: Snapshot spectral imaging technology enables the capture of complete spectral information of objects in an extremely short period of time, offering wide-ranging applications in fields requiring dynamic observations such as environmental monitoring, medical diagnostics, and industrial inspection. In the past decades, snapshot spectral imaging has made remarkable breakthroughs with the emergence of new computational theories and optical components. From the early days of using various spatial-spectral data mapping methods, they have evolved to later attempts to encode various dimensions of light, such as amplitude, phase, and wavelength, and then computationally reconstruct them. This review focuses on a systematic presentation of the system architecture and mathematical modeling of these snapshot spectral imaging techniques. In addition, the introduction of metasurfaces expands the modulation of spatial-spectral data and brings advantages such as system size reduction, which has become a research hotspot in recent years and is regarded as the key to the next-generation snapshot spectral imaging techniques. This paper provides a systematic overview of the applications of metasurfaces in snapshot spectral imaging and provides an outlook on future directions and research priorities.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Snapshot spectral imaging: from spatial-spectral mapping to metasurface-based imaging ; volume:13 ; number:8 ; year:2024 ; pages:1303-1330 ; extent:28
Nanophotonics ; 13, Heft 8 (2024), 1303-1330 (gesamt 28)
- Creator
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Ding, Kaiyang
Wang, Ming
Chen, Mengyuan
Wang, Xiaohao
Ni, Kai
Zhou, Qian
Bai, Benfeng
- DOI
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10.1515/nanoph-2023-0867
- URN
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urn:nbn:de:101:1-2024040615491167032817
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:02 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ding, Kaiyang
- Wang, Ming
- Chen, Mengyuan
- Wang, Xiaohao
- Ni, Kai
- Zhou, Qian
- Bai, Benfeng
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