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Proceedings Paper

Study of improving signal-noise ratio for fluorescence channel
Author(s): Guoqing Wang; Xin Li; Yue Lou; Dong Chen; Xin Zhao; Ran Wang; Debao Yan; Qi Zhao
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Paper Abstract

Laser-induced fluorescence(LIFS), which is one of most effective discrimination methods to identify the material at the molecular level by inducing fluorescence spectrum, has been popularized for its fast and accurate probe’s results. According to the research, violet laser or ultraviolet laser is always used as excitation light source. While, There is no atmospheric window for violet laser and ultraviolet laser, causing laser attenuation along its propagation path. What’s worse, as the laser reaching sample, part of the light is reflected. That is, excitation laser really react on sample to produce fluorescence is very poor, leading to weak fluorescence mingled with the background light collected by LIFS’ processing unit, when it used outdoor. In order to spread LIFS to remote probing under the complex background, study of improving signal-noise ratio for fluorescence channel is a meaningful work. Enhancing the fluorescence intensity and inhibiting background light both can improve fluorescence’ signal-noise ratio. In this article, three different approaches of inhibiting background light are discussed to improve the signal-noise ratio of LIFS. The first method is increasing fluorescence excitation area in the proportion of LIFS’ collecting field by expanding laser beam, if the collecting filed is fixed. The second one is changing field angle base to accommodate laser divergence angle. The third one is setting a very narrow gating circuit to control acquisition circuit, which is shortly open only when fluorescence arriving. At some level, these methods all can reduce the background light. But after discussion, the third one is best with adding gating acquisition circuit to acquisition circuit instead of changing light path, which is effective and economic.

Paper Details

Date Published: 24 October 2017
PDF: 6 pages
Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 104610M (24 October 2017); doi: 10.1117/12.2283358
Show Author Affiliations
Guoqing Wang, Systems Engineering Research Institute (China)
Xin Li, Systems Engineering Research Institute (China)
Yue Lou, Systems Engineering Research Institute (China)
Dong Chen, Systems Engineering Research Institute (China)
Xin Zhao, Systems Engineering Research Institute (China)
Ran Wang, Systems Engineering Research Institute (China)
Debao Yan, Systems Engineering Research Institute (China)
Qi Zhao, Systems Engineering Research Institute (China)


Published in SPIE Proceedings Vol. 10461:
AOPC 2017: Optical Spectroscopy and Imaging
Jin Yu; Zhe Wang; Wei Hang; Bing Zhao; Xiandeng Hou; Mengxia Xie; Tsutomu Shimura, Editor(s)

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