TY - GEN
T1 - Bio-inspired scanning for video-imaging using an atomic force microscope
AU - Qu, Chengeng
AU - Song, Bo
AU - Xi, Ning
AU - Lai, King Wai Chiu
AU - Yang, Ruiguo
AU - Chen, Hongzhi
PY - 2012
Y1 - 2012
N2 - Atomic Force Microscopy (AFM) is a powerful tool that can perform nano-scale imaging. Normally AFM tip is controlled to scan on sample surface line by line to get the topographic image and this process takes several minutes. Higher sample rate is demanded so that when doing continuous imaging, the time interval between each image can be significantly shorted thus video-imaging can be achieved. In this paper, a compressive sensing based AFM video-imaging system is built, and random walk based scanning path is proposed. Compressive sensing requires random sampling. Bio-inspired random walk based scan path is able to provide a random tip moving path, which enables compressive sensing to be implemented into AFM scanning system. Experiments based on this system are set up in order to test the performance. It first raster scan the entire area and then generate a biased random tip moving path focusing on some specific areas. Compressive scan is then used to continuously scan the sample surface. Finally, video-imaging is achieved and dynamic changes in nano-scale are observed.
AB - Atomic Force Microscopy (AFM) is a powerful tool that can perform nano-scale imaging. Normally AFM tip is controlled to scan on sample surface line by line to get the topographic image and this process takes several minutes. Higher sample rate is demanded so that when doing continuous imaging, the time interval between each image can be significantly shorted thus video-imaging can be achieved. In this paper, a compressive sensing based AFM video-imaging system is built, and random walk based scanning path is proposed. Compressive sensing requires random sampling. Bio-inspired random walk based scan path is able to provide a random tip moving path, which enables compressive sensing to be implemented into AFM scanning system. Experiments based on this system are set up in order to test the performance. It first raster scan the entire area and then generate a biased random tip moving path focusing on some specific areas. Compressive scan is then used to continuously scan the sample surface. Finally, video-imaging is achieved and dynamic changes in nano-scale are observed.
UR - http://www.scopus.com/inward/record.url?scp=84869158539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869158539&partnerID=8YFLogxK
U2 - 10.1109/NANO.2012.6322148
DO - 10.1109/NANO.2012.6322148
M3 - Conference contribution
AN - SCOPUS:84869158539
SN - 9781467321983
T3 - Proceedings of the IEEE Conference on Nanotechnology
BT - 2012 12th IEEE International Conference on Nanotechnology, NANO 2012
T2 - 2012 12th IEEE International Conference on Nanotechnology, NANO 2012
Y2 - 20 August 2012 through 23 August 2012
ER -