High-resolution multispectral imaging using a photodiode

Liheng Bian, Jinli Suo*, Feng Chen, Qionghai Dai

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名High-Speed Biomedical Imaging and Spectroscopy III
主期刊副标题Toward Big Data Instrumentation and Management
编辑Keisuke Goda, Kevin K. Tsia
出版商SPIE
ISBN(电子版)9781510614956
DOI
出版状态已出版 - 2018
已对外发布
活动High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management 2018 - San Francisco, 美国
期限: 29 1月 201830 1月 2018

出版系列

姓名Progress in Biomedical Optics and Imaging - Proceedings of SPIE
10505
ISSN(印刷版)1605-7422

会议

会议High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management 2018
国家/地区美国
San Francisco
时期29/01/1830/01/18

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