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Simultaneous topography and recognition Imaging using force microscopy

  1. Author:
    Stroh, C. M.
    Ebner, A.
    Geretschlager, M.
    Freudenthaler, G.
    Kienberger, F.
    Kamruzzahan, A. S. M.
    Smith-Gil, S. J.
    Gruber, H. J.
    Hinterdorfer, P.
  2. Author Address

    Johannes Kepler Univ, Inst Biophys, A-4040 Linz, Austria. Johannes Kepler Univ, Inst Expt Phys Atom Phys & Surface Sci, A-4040 Linz, Austria. NCI, Basic Res Lab, Div Basic Sci, Frederick Canc Res & Dev Ctr,NIH, Frederick, MD 21702 USA Hinterdorfer, P, Univ Linz, Inst Biophys, Altenbergerstr 69, A-4040 Linz, Austria
    1. Year: 2004
    2. Date: SEP
  1. Journal: Biophysical Journal
    1. 87
    2. 3
    3. Pages: 1981-1990
  2. Type of Article: Article
  1. Abstract:

    We present a method for simultaneously recording topography images and localizing specific binding sites with nm positional accuracy by combining dynamic force microscopy with single molecule recognition force spectroscopy. For this we used lysozyme adsorbed to mica, the functionality of which was characterized by enzyme immunoassays. The topography and recognition images were acquired using tips that were magnetically oscillated during scanning and contained antibodies directed against lysozyme. For cantilevers with low Q-factor (similar to1 in liquid) driven at frequencies below resonance, the surface contact only affected the downward deflections (minima) of the oscillations, whereas binding of the antibody on the tip to lysozyme on the surface only affected the upwards deflections (maxima) of the oscillations. The recognition signals were therefore well separated from the topographic signals, both in space (Deltazsimilar to5 nm) and time (similar to0.1 ms). Topography and recognition images were simultaneously recorded using a specially designed electronic circuit with which the maxima (U-up) and the minima (U-down) of each sinusoidal cantilever deflection period were depicted. U-down was used for driving the feedback loop to record the height (topography) image, and U-up provided the data for the recognition image

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External Sources

  1. WOS: 000223668500053

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