• DocumentCode
    184702
  • Title

    CMOS biochips for hypothesis-driven DNA analysis

  • Author

    Singh, R. ; Manickam, A. ; Hassibi, A.

  • Author_Institution
    InSilixa Inc., Sunnyvale, CA, USA
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    484
  • Lastpage
    487
  • Abstract
    High-throughput and highly multiplexed DNA detection platforms require complex and generally bulky instrumentation to perform sensing, signal conditioning and quantification. Integrated CMOS biosensor arrays (CMOS biochips) have the ability to miniaturize such platforms into portable and low cost point-of-care (PoC) devices, that can be instrumental for the adoption of genomics test in molecular diagnostics (MDx). This paper focuses on CMOS biochips for detecting specific DNA sequences in a sample (i.e., hypothesis-driven analysis) employing DNA hybridization arrays. It examines various aspects of CMOS biochips technology including detection modalities, pixel architectures, ease-of-integration into VLSI processes, and limits of performance.
  • Keywords
    CMOS image sensors; DNA; VLSI; biosensors; electrochemical sensors; genomics; lab-on-a-chip; optical sensors; patient diagnosis; CMOS biochip technology; DNA hybridization arrays; DNA sequences; MDx; VLSI processes; bulky instrumentation; detection modalities; ease-of-integration; genomics test; high-throughput DNA detection platforms; highly multiplexed DNA detection platforms; hypothesis-driven DNA analysis; integrated CMOS biosensor arrays; low cost point-of-care device; molecular diagnostics; performance limits; pixel architectures; portable point-of-care device; sensing; signal conditioning; signal quantification; Biosensors; CMOS integrated circuits; DNA; Fluorescence; Gold; Instruments; Next generation networking; CMOS biosensors; DNA hybridization; DNA microarray; Optical and electrochemical detection; PoC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981768
  • Filename
    6981768