Local scan for compensation of drift contamination in AFM based nanomanipulation

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.

[1]  Yoichi Uehara,et al.  Servomechanism for locking scanning tunneling microscope tip over surface nanostructures , 2000 .

[2]  M. Sitti,et al.  Augmented reality user interface for an atomic force microscope-based nanorobotic system , 2006, IEEE Transactions on Nanotechnology.

[3]  Ning Xi,et al.  Augmented reality system for real-time nanomanipulation , 2003, 2003 Third IEEE Conference on Nanotechnology, 2003. IEEE-NANO 2003..

[4]  L. Samuelson,et al.  Controlled manipulation of nanoparticles with an atomic force microscope , 1995 .

[5]  Gerber,et al.  Atomic Force Microscope , 2020, Definitions.

[6]  Hideki Hashimoto,et al.  Tele-nanorobotics using atomic force microscope , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[7]  Ning Xi,et al.  Augmented Reality Enhanced Nanomanipulation by Atomic Force Microscopy With Local Scan , 2007 .

[8]  Ronald P. Andres,et al.  Fabrication of two‐dimensional arrays of nanometer‐size clusters with the atomic force microscope , 1995 .

[9]  Hans D. Hallen,et al.  Quantitative method of image analysis when drift is present in a scanning probe microscope , 2003 .

[10]  John T. Woodward,et al.  Removing drift from scanning probe microscope images of periodic samples , 1998 .

[11]  Kang L. Wang,et al.  NANOFABRICATION OF THIN CHROMIUM FILM DEPOSITED ON SI(100) SURFACES BY TIP INDUCED ANODIZATION IN ATOMIC FORCE MICROSCOPY , 1995 .

[12]  V. Yurov,et al.  Scanning tunneling microscope calibration and reconstruction of real image: Drift and slope elimination , 1994 .

[13]  Stefan Thalhammer,et al.  The AFM as a tool for chromosomal dissection – the influence of physical parameters , 1998 .

[14]  Metin Sitti,et al.  Teleoperated touch feedback from the surfaces at the nanoscale: modeling and experiments , 2003 .

[15]  Aristides A. G. Requicha,et al.  Drift compensation for automatic nanomanipulation with scanning probe microscopes , 2006, IEEE Transactions on Automation Science and Engineering.

[16]  Claudio Nicolini,et al.  Drift elimination in the calibration of scanning probe microscopes , 1995 .

[17]  Guangyong Li,et al.  Development of augmented reality system for AFM-based nanomanipulation , 2004, IEEE/ASME Transactions on Mechatronics.

[18]  Aristides A. G. Requicha,et al.  Towards automatic nanomanipulation: drift compensation in scanning probe microscopes , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[19]  Guangyong Li,et al.  "Videolized" atomic force microscopy for interactive nanomanipulation and nanoassembly , 2005, IEEE Transactions on Nanotechnology.

[20]  H. Hashimoto,et al.  Controlled pushing of nanoparticles: modeling and experiments , 2000 .

[21]  Michael R. Falvo The nanomanipulator : a teleoperator for manipulating materials at the nanometer scale , 1995 .

[22]  Yuechao Wang,et al.  Sensor Referenced Real-Time Videolization of Atomic Force Microscopy for Nanomanipulations , 2008, IEEE/ASME Transactions on Mechatronics.

[23]  Aristides A. G. Requicha Nanorobots, NEMS, and nanoassembly , 2003 .

[24]  Lianqing Liu,et al.  Sensor referenced guidance and control for robotic nanomanipulation , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.