• 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