• DocumentCode
    184699
  • Title

    Interfacing CMOS electronics to biological systems: from single molecules to cellular communities

  • Author

    Bellin, D.L. ; Warren, S.B. ; Rosenstein, J.K. ; Shepard, K.L.

  • Author_Institution
    Electr. Eng., Columbia Univ., New York, NY, USA
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    Direct electronic interfaces between biological systems and solid-state devices offer considerable advantages over traditional optical interfaces by reducing system costs and affording increased signal levels. Integrating sensor transduction onto a complementary metal-oxide-semiconductor (CMOS) chip provides further advantages by enabling reduction of parasitics and improved sensor density. We present two sensing platforms that demonstrate the range of capabilities of CMOS-based bioelectronics. The first platform electrochemically images signaling molecules in multicellular communities, while the second focuses on single-molecule, high-bandwidth sensing using carbon nanotube field-effect transistors.
  • Keywords
    CMOS integrated circuits; biochemistry; biomedical electronics; biomedical imaging; biosensors; carbon nanotube field effect transistors; carbon nanotubes; cellular biophysics; electrochemical sensors; microorganisms; molecular biophysics; nanosensors; CMOS-based bioelectronics; biological systems; carbon nanotube field-effect transistors; complementary metal-oxide-semiconductor; direct electronic interfaces; electrochemical image signaling molecules; high-bandwidth sensing; multicellular communities; optical interfaces; parasitic reduction; sensor transduction; solid-state devices; Arrays; Biomedical imaging; CMOS integrated circuits; Carbon nanotubes; Electrodes; Sensors; Transducers; Biofilm; Biosensor; CMOS; Carbon Nanotube; Electrochemistry; Redox; Single-Molecule; smFET;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981766
  • Filename
    6981766