Fluorescence instrument based on direct view holographic grating prism for remote sensing

Lanjun Sun; Yanchao Zhang; Shiyou Fu; Zhaoshuo Tian

doi:10.1117/12.2284485

24 October 2017 Fluorescence instrument based on direct view holographic grating prism for remote sensing

Lanjun Sun, Yanchao Zhang, Shiyou Fu, Zhaoshuo Tian

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104622F (2017) https://doi.org/10.1117/12.2284485
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

We present an optical receiving system for LIF lidar using a direct view spectrometer based on holographic grating prism. The proposed receiving optical system consists of receiving telescope, slit, collimating lens, holographic grating prism, objective lens and ICCD camera. The receiving optical system based on this dispersion structure can not only reduces the optical distortion to offer a high optical efficiency, but also has a more compact structure which is very suitable for spectral dispersion of remote target. The system adopted an intensifier coupled a CCD to make up an ICCD camera. Based on real-time background subtraction algorithm, 60fps fluorescence spectrum can be obtained in real time. System validation experiment uses a semiconductor laser as excitation source to illuminate oil target to radiate fluorescence at a distance of 30 m. The fluorescent signal is received by the set up LIF lidar receiving optical system, and clear spectrum image is obtained. The designed in-line, direct view configuration holographic grating prism spectrometer owns the advantages of high light throughput, less optical distortions, compact structure, small volume and easy operation, which make a practical portable receiving optical system.

Citation Download Citation

Lanjun Sun, Yanchao Zhang, Shiyou Fu, and Zhaoshuo Tian "Fluorescence instrument based on direct view holographic grating prism for remote sensing", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622F (24 October 2017); https://doi.org/10.1117/12.2284485

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