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PHD DISSERTATION DEFENSE MS. QIAN CHEN
 

Summary: PHD DISSERTATION DEFENSE
MS. QIAN CHEN
Advisor: Dr. Virginia Ayres
Department of Electrical & Computer Engineering
Michigan State University
Monday, December 10, 2007
1:00 ­ 3:00 PM
2219 Engineering Building
(ECE Conference Room)
"SCANNING PROBE RECOGNITION MICROSCOPY: RECOGNITION STRATEGIES"
ABSTRACT
Scanning Probe Recognition Microscopy (SPRM) is a specially modified Scanning Probe Microscopy
(SPM) system designed and developed by our research group in partnership with Veeco Instruments.
In Scanning Probe Recognition Microscopy, the SPM system itself is given the ability to automatically
track regions of interest during scanning through incorporation of recognition­based tip control. The
recognition capability is realized by using algorithms and techniques in image processing, pattern
recognition and computer vision fields. Adaptive learning and prediction are also implemented to
make the object detection and tracking procedures quicker and more reliable. The major contribution
of SPRM includes: (1) decreasing overall operation time; (2) providing the ability to quantitatively
measuring properties while maintaining the uniformity of experimental environment; (3) sequentially

  

Source: Ayres, Virginia - Department of Electrical and Computer Engineering, Michigan State University

 

Collections: Materials Science; Biology and Medicine