Porofessor Yu Sun and his team at the Advanced Micro and Nanosystems Laboratory, University of Toronto, Canada, have developed an automated vision-based nanomanipulation technique that, when used in conjunction with existing large-scale nano-assembly methods, is capable of precisely controlling the number of nanowires incorporated into each device. Reporting their findings in the January 17, 2012 online edition of Nanotechnology ("Automated nanomanipulation for nanodevice construction"), the team developed an automated visual serving algorithm for physically removing individual nanowires from an array of multi-nanowire transistor devices.
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.The batch microfabrication process we used is wafer-scale but has an uncontrolled number of bridging nanowires that also have significantly varying diameters," explains Yanliang Zhang, a postdoctoral fellow in Sun's group at the time of this work and the paper's first author. "Nanorobotic selective nanowire removal, despite being a serial process, permits precision control of the number and diameter of nanowires. Experimental results demonstrate that the nanorobotic system has a nano-FET device post-processing success rate of 95% (versus 48.3% for manual nanomanipulation) and has a speed of 1 min/device (versus 10.3 min/device)", he added.