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Proceedings Paper

Hyperspectral single-pixel imaging with dual optical combs
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Paper Abstract

Dual comb spectroscopy (DCS) is based on the combination of Fourier transform spectroscopy with an optical frequency comb (OFC), and has a spectral resolution below MHz order over a spectral range over several tens THz. Furthermore, non-mechanical time-delay scanning enables the rapid data acquisition. However, in order to expand DCS into spectral imaging, a CCD or a CMOS camera cannot be used because a high-speed, point detector is indispensable to acquire the fast interferogram signal in DCS. Therefore, the first demonstration of DCS imaging was based on the mechanical scanning of the sample position. If DCS imaging can be achieved without the need for mechanical scanning, the application field of the DCS imaging will be largely expanded. One promising method to achieve the scan-less 2D imaging is a single-pixel imaging (SPI), enabling scan-less 2D imaging by use of pattern illumination on the sample and a point detector. Also, the accumulation effect in the random pattern illumination increases a signal-to-noise ratio. In this paper, we present combination of DCS with SPI, namely a scan-less DCS imaging. Spectral imaging of a sample indicated the effectiveness and potential of scan-less DCS imaging.

Paper Details

Date Published: 22 February 2017
PDF: 4 pages
Proc. SPIE 10076, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II, 100761C (22 February 2017); doi: 10.1117/12.2251250
Show Author Affiliations
Kyuki Shibuya, The Univ. of Tokushima (Japan)
Japan Science and Technology Agency (Japan)
Takeo Minamikawa, The Univ. of Tokushima (Japan)
Japan Science and Technology Agency (Japan)
Yasuhiro Mizutani, Japan Science and Technology Agency (Japan)
Osaka Univ. (Japan)
Takeshi Yasui, The Univ. of Tokushima (Japan)
Japan Science and Technology Agency (Japan)
Tetsuo Iwata, The Univ. of Tokushima (Japan)
Japan Science and Technology Agency (Japan)


Published in SPIE Proceedings Vol. 10076:
High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II
Kevin K. Tsia; Keisuke Goda, Editor(s)

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