TY - GEN
T1 - High-resolution multispectral imaging using a photodiode
AU - Bian, Liheng
AU - Suo, Jinli
AU - Chen, Feng
AU - Dai, Qionghai
N1 - Publisher Copyright:
© 2018 SPIE.
PY - 2018
Y1 - 2018
N2 - Existing multispectral imagers mostly use 2D array sensors to separately measure 2D data slices in a 3D spatialspectral data cube. They suffer from low photon efficiency, limited spectral range, and high cost. To address these issues, we propose to conduct multispectral imaging using a photodiode, to take full advantage of its high sensitivity, wide spectral range, low cost, and small size. Specifically, utilizing the photodiode's fast response, a scene's 3D spatial-spectral information is sinusoidally multiplexed into a dense 1D measurement sequence, and then demultiplexed computationally under the single-pixel imaging scheme. A proof-of-concept setup is built to capture multispectral data of 256 pixels × 256 pixels × 10 wavelength bands ranging from 450 nm to 650 nm. The imaging scheme holds great potentials for various biological applications such as fluorescence microscopy and endoscopy.
AB - Existing multispectral imagers mostly use 2D array sensors to separately measure 2D data slices in a 3D spatialspectral data cube. They suffer from low photon efficiency, limited spectral range, and high cost. To address these issues, we propose to conduct multispectral imaging using a photodiode, to take full advantage of its high sensitivity, wide spectral range, low cost, and small size. Specifically, utilizing the photodiode's fast response, a scene's 3D spatial-spectral information is sinusoidally multiplexed into a dense 1D measurement sequence, and then demultiplexed computationally under the single-pixel imaging scheme. A proof-of-concept setup is built to capture multispectral data of 256 pixels × 256 pixels × 10 wavelength bands ranging from 450 nm to 650 nm. The imaging scheme holds great potentials for various biological applications such as fluorescence microscopy and endoscopy.
KW - Multispectral imaging
KW - computational imaging
KW - hyperspectral imaging
KW - single-pixel imaging
UR - https://www.scopus.com/pages/publications/85047310880
U2 - 10.1117/12.2287614
DO - 10.1117/12.2287614
M3 - Conference contribution
AN - SCOPUS:85047310880
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - High-Speed Biomedical Imaging and Spectroscopy III
A2 - Goda, Keisuke
A2 - Tsia, Kevin K.
PB - SPIE
T2 - High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management 2018
Y2 - 29 January 2018 through 30 January 2018
ER -