Efficient AFM-Based Nanoparticle Manipulation Via Sequential Parallel Pushing

Atomic force microscopes (AFMs) have become a useful tool not only for imaging at the nanoscale resolution, but also a useful tool for manipulating nanoscale objects in nanoscale device prototyping and for studying molecular and cellular mechanisms in biology. This paper presents a method, called sequential parallel pushing (SPP), for efficient and automated nanoparticle manipulation. Instead of using tip scanning to fully locate the particle center, this method uses one scan line perpendicular to the pushing direction to determine the lateral coordinate of the particle center. The longitudinal position of the particle is inferred from the position where the tip loses contact with the particle through real-time analysis of vibration amplitude of the cantilever. The particle is then pushed from the determined lateral position along the current push direction toward the baseline of the target. This process is iterated until the particle reaches the target position. Experimental results show that the SPP algorithm, when compared with simple target-oriented pushing algorithms, not only reduces the number of scan lines but also decreases the number of pushing iterations. Consequently, the manipulation time has been decreased up to four times in some cases. The SPP method has been successfully applied to fabricate designed nanoscale patterns that are made of gold (10~15 nm diameter) particles and of 170 latex 50-nm diameter particles.

[1]  Hui Xie,et al.  High-Efficiency Automated Nanomanipulation With Parallel Imaging/Manipulation Force Microscopy , 2012 .

[2]  Cagdas D. Onal,et al.  Automated 2-D nanoparticle manipulation with an atomic force microscope , 2009, 2009 IEEE International Conference on Robotics and Automation.

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

[4]  Aristides A. G. Requicha,et al.  Algorithms and Software for Nanomanipulation with Atomic Force Microscopes , 2009, Int. J. Robotics Res..

[5]  P. Williams,et al.  Single Wall Carbon Nanotube-Based Structural Health Sensing Materials , 2004 .

[6]  U.C. Wejinya,et al.  Adaptable End Effector for Atomic Force Microscopy Based Nanomanipulation , 2006, IEEE Transactions on Nanotechnology.

[7]  M. Sutton,et al.  Drift and spatial distortion elimination in atomic force microscopy images by the digital image correlation technique , 2008 .

[8]  P. Burke,et al.  Electronic manipulation of DNA, proteins, and nanoparticles for potential circuit assembly. , 2004, Biosensors & bioelectronics.

[9]  Yva Doually,et al.  Information Technology , 1997, IFIP Advances in Information and Communication Technology.

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

[11]  Lianqing Liu,et al.  System positioning error compensated by local scan in atomic force microscope based nanomanipulation , 2008, 2008 3rd IEEE International Conference on Nano/Micro Engineered and Molecular Systems.

[12]  Uchechukwu C. Wejinya,et al.  Landmark based sensing and positioning in robotic nano manipulation , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[13]  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).

[14]  Aristides A. G. Requicha,et al.  Compensation of Scanner Creep and Hysteresis for AFM Nanomanipulation , 2008, IEEE Transactions on Automation Science and Engineering.

[15]  E. Meyer,et al.  The analytical relations between particles and probe trajectories in atomic force microscope nanomanipulation , 2009, Nanotechnology.

[16]  Harry A. Atwater,et al.  Plasmonics—A Route to Nanoscale Optical Devices (Advanced Materials, 2001, 13, 1501) , 2003 .

[17]  Kevin F. Kelly,et al.  Cross-correlation image tracking for drift correction and adsorbate analysis , 2002 .

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

[19]  M. Tomitori,et al.  Tip cleaning and sharpening processes for noncontact atomic force microscope in ultrahigh vacuum , 1999 .

[20]  Ning Xi,et al.  3D nanomanipulation using atomic force microscopy , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[21]  A. Requicha,et al.  Plasmonics—A Route to Nanoscale Optical Devices , 2001 .