• DocumentCode
    3328382
  • Title

    Signal Processing Aspects of Real-Time DNA Microarrays

  • Author

    Vikalo, H. ; Hassibi, B. ; Hassibi, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas, Austin, TX
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    Data acquisition in conventional fluorescent-based microarrays takes place after the completion of a hybridization phase. During the hybridization phase, target analytes bind to their corresponding capturing probes on the array. The conventional microarrays attempt to detect presence and quantify amounts of the targets by collecting a single data point, supposedly taken after the hybridization process has reached its steady-state. Recently, so-called real-time microarrays capable of acquiring not only the steady-state data but the entire kinetics of hybridization have been proposed in [1]. The richness of the information obtained by the real-time microarrays promises higher signal-to-noise ratio, smaller estimation error, and broader assay detection dynamic range compared to the conventional microarrays. In the current paper, we study the signal processing aspects of the real-time microarray data acquisition.
  • Keywords
    DNA; data acquisition; medical signal processing; data acquisition; fluorescent-based microarrays; real-time DNA microarrays; signal processing; Array signal processing; DNA; Data acquisition; Fluorescence; Kinetic theory; Phased arrays; Probes; Signal processing; Signal to noise ratio; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on
  • Conference_Location
    St. Thomas, VI
  • Print_ISBN
    978-1-4244-1713-1
  • Electronic_ISBN
    978-1-4244-1714-8
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2007.4497991
  • Filename
    4497991