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