[Papers] A Multi Spectral Imaging System with a 71dB SNR 190-1100 nm CMOS Image Sensor and an Electrically Tunable Multi Bandpass Filter

• Fujihara Yasuyuki

  Graduate School of Engineering, Tohoku University

• Aoyagi Yusuke

  Graduate School of Engineering, Tohoku University

• Murata Maasa

  Graduate School of Engineering, Tohoku University

• Nasuno Satoshi

  Graduate School of Engineering, Tohoku University

• Wakashima Shunichi

  Graduate School of Engineering, Tohoku University

• Kuroda Rihito

  Graduate School of Engineering, Tohoku University

• Terashima Kohei

  Graduate School of Engineering, Tohoku University

• Ishinabe Takahiro

  Graduate School of Engineering, Tohoku University

• Fujikake Hideo

  Graduate School of Engineering, Tohoku University

• Wako Kazuhiro

  National Institute of technology, Sendai College

• Sugawa Shigetoshi

  Graduate School of Engineering, Tohoku University New Industry Creation Hatchery Center, Tohoku University

Abstract

This paper demonstrates a multi spectral imaging system utilizing a linear response, high signal to noise ratio (SNR) and wide spectral response CMOS image sensor (CIS), and an electrically tunable multi bandpass optical filter with narrow full width at half maximum (FWHM) of transmitted waveband. The developed CIS achieved 71dB SNR, 1.5x10⁷ e- full well capacity (FWC), 190-1100nm spectral response with very high quantum efficiency (QE) in near infrared (NIR) waveband using low impurity concentration Si wafer (~10¹² cm^-3). With the developed CIS, diffusion of 5mg/dl glucose into physiological saline solution, as a preliminary experiment for non-invasive blood glucose measurement, was successfully visualized under 960nm and 1050nm wavelengths, at which absorptions of water molecules and glucose appear among UV to NIR waveband, respectively.

Journal

• ITE Transactions on Media Technology and Applications

  ITE Transactions on Media Technology and Applications 6 (3), 187-194, 2018

  The Institute of Image Information and Television Engineers

Keywords

• multi spectral imaging
• FWC
• SNR
• CMOS image sensor
• bandpass filter
• absorption analysis

Details

• CRID: 1390001288041652608
• NII Article ID: 130007387396
• DOI: 10.3169/mta.6.187
• ISSN: 21867364
• Web Site: https://www.jstage.jst.go.jp/article/mta/6/3/6_187/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed