Confocal scanning fluorescence detection system and its optimization

Rong Yang; Guoliang Huang; Jing Cheng; Minxian Wu; Guofan Jin

doi:10.1117/12.403993

11 October 2000 Confocal scanning fluorescence detection system and its optimization

Rong Yang, Guoliang Huang, Jing Cheng, Minxian Wu, Guofan Jin

Proceedings Volume 4224, Biomedical Photonics and Optoelectronic Imaging; (2000) https://doi.org/10.1117/12.403993
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China

Abstract

Fluorescence detection by confocal scanning systems has advantages of large area detection, small focus depth, large numerical aperture, complete laser rejection, low background noise, high sensitivity and S/N ratio. It is a sensitive and precise method to record and analyze results of biological or biomedical assay, such as DNA hybridization assay or micro capillary electrophoresis assay on biochip. Parameters like power of laser or sensitivity of PMT are responsible for signal to noise ration and sensitivity of the system, which should be optimized relative to different situations. The structural design and experimental analysis on parameter optimization of a confocal scanning fluorescence detection system are presented in this paper.

Citation Download Citation

Rong Yang, Guoliang Huang, Jing Cheng, Minxian Wu, and Guofan Jin "Confocal scanning fluorescence detection system and its optimization", Proc. SPIE 4224, Biomedical Photonics and Optoelectronic Imaging, (11 October 2000); https://doi.org/10.1117/12.403993

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available