DocumentCode :
5956
Title :
Optimizing the Signal to Noise Ratio of Microcavity Sensors
Author :
Cheema, M. Imran ; Ce Shi ; Armani, Andrea M. ; Kirk, A.G.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Comput. & Emerging Sci., Lahore, Pakistan
Volume :
26
Issue :
20
fYear :
2014
fDate :
Oct.15, 15 2014
Firstpage :
2023
Lastpage :
2026
Abstract :
Optical microcavities provide a sensitive platform for biological and chemical sensing applications. Previous works have focused on optimizing the device performance by increasing the quality factor of the cavity. However, this approach overlooks the impact of the quality factor on the signal-to-noise ratio (SNR) of the sensor. Here, our purpose is to show the existence of optimum parameters, both theoretically and experimentally, for achieving maximum SNR in the microcavity sensors. Although toroidal cavities are used here, this letter is easily generalizable to any cavity geometry, enabling the performance optimization of a wide range of microcavity sensors.
Keywords :
Q-factor; geometrical optics; micro-optics; microcavities; microsensors; optical noise; optimisation; biological sensing applications; chemical sensing applications; geometrical optics; optical microcavity sensors; quality factor; signal-to-noise ratio optimization; toroidal cavities; Cavity resonators; Microcavities; Q measurement; Q-factor; Sensors; Signal to noise ratio; Microcavity sensors; quality factor; signal to noise ratio;
fLanguage :
English
Journal_Title :
Photonics Technology Letters, IEEE
Publisher :
ieee
ISSN :
1041-1135
Type :
jour
DOI :
10.1109/LPT.2014.2344857
Filename :
6868952
Link To Document :
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