• DocumentCode
    2676734
  • Title

    Local scan for compensation of drift contamination in AFM based nanomanipulation

  • Author

    Wang, Yucai ; Li, Lianqing ; Lianqing Liu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    1345
  • Lastpage
    1350
  • Abstract
    Because of the presence of thermal drift, AFM (atomic force microscopy) images are always contaminated. Such contamination is one of the major hampers to achieve accurate and efficient AFM based nanomanipulation. Based on contaminated images, the manipulation operations often fail. In this paper, we apply a local scan method to identify and compensate the thermal drift contamination in the AFM image. After an AFM image is captured, the entire image is divided into several parts along y direction. A local scan is immediately performed in each part of the image to calculate the drift value at that very part. In this manner, the drift value is calculated in a small local area instead of the global image. Thus, the drift can be more precisely estimated and the image can be more accurately recovered, which lead to improved accuracy for AFM imaging and enhanced productivity for AFM based nanomanipulation.
  • Keywords
    atomic force microscopy; chemical engineering computing; micromanipulators; nanotechnology; robot vision; AFM based nanomanipulation; atomic force microscopy images; local scan method; thermal drift contamination compensation; Atomic force microscopy; Contamination; Feedback; Intelligent robots; Laboratories; Productivity; Robotics and automation; Thermal engineering; Thermal force; USA Councils; Atomic Force microscope; Drift Compensation; Nanomanipulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5353946
  • Filename
    5353946