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Low-cost, high-speed multispectral imager via spatiotemporal modulation based on a color camera
Zhejiang Univ, Shanghai Inst Adv Study, Coll Opt Sci & Engn, Ctr Opt & Electromagnet Res, Hangzhou 310058, Peoples R China.;Zhejiang Univ, Taizhou Hosp, Taizhou 318000, Peoples R China..
Zhejiang Univ, Shanghai Inst Adv Study, Coll Opt Sci & Engn, Ctr Opt & Electromagnet Res, Hangzhou 310058, Peoples R China..
Zhejiang Univ, Shanghai Inst Adv Study, Coll Opt Sci & Engn, Ctr Opt & Electromagnet Res, Hangzhou 310058, Peoples R China..
Zhejiang Univ, Shanghai Inst Adv Study, Coll Opt Sci & Engn, Ctr Opt & Electromagnet Res, Hangzhou 310058, Peoples R China..
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2023 (English)In: Optics Express, E-ISSN 1094-4087, Vol. 31, no 25, p. 42613-42623Article in journal (Refereed) Published
Abstract [en]

Spectral imaging is a powerful tool in industrial processes, medical imaging, and fundamental scientific research. However, for the commonly used spatial/spectral-scanning spectral imager, the slow response time has posed a big challenge for its employment in dynamic scenes. In this paper, we propose a spatiotemporal modulation concept and build a simple, low-cost spectral imager by combining a liquid crystal (LC) cell with a commercial color camera. By the synergic effect of temporal modulation of the LC materials and spatial modulation of the Bayer filter in a color camera, high-quality multispectral imaging is successfully demonstrated with a high rate of 8 Hz, far beyond the counterparts. Experimental results show that even with three tuning states of the LC material, optical signals with a 10-nm band can be resolved in the range between 410 and 700 nm by this method, overcoming the tradeoff between spectral resolution and time resolution. As a proof of demonstration, we present its potential usage for metamerism recognition, showing superiority over traditional color cameras with more spectral details. Considering its low cost, miniaturization and monolithic-integration ability on color sensors, this simple approach may bring the spectral imaging technology closer to the consumer market and even to ubiquitous smartphones for health care, food inspection and other applications.

Place, publisher, year, edition, pages
Optica Publishing Group , 2023. Vol. 31, no 25, p. 42613-42623
National Category
Atom and Molecular Physics and Optics
Identifiers
URN: urn:nbn:se:kth:diva-342050DOI: 10.1364/OE.508150ISI: 001124501500002PubMedID: 38087631Scopus ID: 2-s2.0-85179000766OAI: oai:DiVA.org:kth-342050DiVA, id: diva2:1826011
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QC 20240110

Available from: 2024-01-10 Created: 2024-01-10 Last updated: 2024-01-10Bibliographically approved

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He, Sailing

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