• DocumentCode
    511557
  • Title

    Air molding for planar patch clamp on adherent neuronal networks

  • Author

    Bosca, A. ; Magrassi, R. ; Firpo, G. ; Repetto, L. ; Boragno, C. ; Valbusa, U.

  • Author_Institution
    Neurosci. & Brain Technol. (NBT), Italian Inst. of Technol. (IIT), Genoa, Italy
  • fYear
    2009
  • fDate
    26-30 July 2009
  • Firstpage
    623
  • Lastpage
    625
  • Abstract
    Patch clamp is the gold standard technique for the electrophysiological analysis of neuronal cells, but despite its sensitivity it is very demanding on manual work and unfit to monitor more than a few cells at the same time. The final aim of the presented work is to create a patch clamp system suited to measure simultaneously the electrical activity of an adherent neuronal network. For this purpose the air molding technique introduced by Klemic has been implemented, tested and improved to create polymeric planar patch clamp electrodes with variable geometries. The morphological and electrical properties of the samples have been studied with SEM, AFM and FIB cross-sectioning and their performance tested on CHO and CEM cells. Also the suitability of PDMS as substrate for neuron culturing has been assessed.
  • Keywords
    atomic force microscopy; bioelectric phenomena; biological techniques; cellular biophysics; clamps; moulding; neural nets; neurophysiology; scanning electron microscopy; AFM; CEM; CHO; FIB; PDMS; SEM; adherent neuronal networks; air molding; electrophysiological analysis; neuron culturing; neuronal cells; planar patch clamp; Biological neural networks; Clamps; Electric variables measurement; Electrodes; Geometry; Gold; Manuals; Monitoring; Polymers; Testing; PDMS; air moulding; electrophysiology; patchclamp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nanotechnology, 2009. IEEE-NANO 2009. 9th IEEE Conference on
  • Conference_Location
    Genoa
  • ISSN
    1944-9399
  • Print_ISBN
    978-1-4244-4832-6
  • Electronic_ISBN
    1944-9399
  • Type

    conf

  • Filename
    5394751