Paper
27 October 2006 Time-resolved two-photon excited fluorescence spectroscopy based on a streak camera
Lixin Liu, Junle Qu, Danni Chen, Ziyang Lin, Gaixia Xu, Baoping Guo, Hanben Niu
Author Affiliations +
Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60472K (2006) https://doi.org/10.1117/12.710974
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China
Abstract
Combination of fluorescence spectral and temporal resolutions can improve the sensitivity and specificity of biomedical diagnostics. In this paper, we present the development of a time resolved two-photon excited fluorescence spectroscopy system that consists of a Ti: Sapphire femtosecond laser, a fluorescence microscope objective, a prism spectrophotometer and a high repetition rate picosecond streak camera. The streak camera and the time-resolved fluorescence spectroscopy system. have been calibrated with an F-P etalon and a spectral line lamp respectively. Validation experiment of the system is also performed on two standard fluorescent dyes (Rhodamine 6G and Coumarin 314), and the results agree well with those reported in the literatures. Preliminary experimental results on autofluorescence spectra and lifetimes of freshly picked leaves and in vivo human skin are also presented, which demonstrates the potential applications of this system in tissue discrimination and clinical diagnostics.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lixin Liu, Junle Qu, Danni Chen, Ziyang Lin, Gaixia Xu, Baoping Guo, and Hanben Niu "Time-resolved two-photon excited fluorescence spectroscopy based on a streak camera", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472K (27 October 2006); https://doi.org/10.1117/12.710974
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KEYWORDS
Luminescence

Streak cameras

Fluorescence spectroscopy

Picosecond phenomena

Skin

In vivo imaging

Tissues

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