DocumentCode :
2850464
Title :
Rapid online quantification of tip-sample interaction for high-speed dynamic-mode atomic force microscope imaging
Author :
Busch, D. ; Ren, J. ; Qingze Zou ; Ganapathysubramanian, B.
Author_Institution :
Mech. Eng. Dept., Iowa State Univ., Ames, IA, USA
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
2879
Lastpage :
2884
Abstract :
This paper presents a numerical-experimental integrated framework for rapid online estimation of the tip sample interaction forces for high speed AFM dynamic imaging. Quantifying the tip-sample interaction in AFM dynamic imaging is crucial towards achieving high-speed dynamic-mode AFM imaging with minimized tip-sample forces, particularly when imaging live biological samples in liquid media. Large tip-sample interactions can result in sample deformation or even destruction of the live biological samples. In this article, we propose an ultra-fast inversion strategy based on parallel algorithms implemented on Graphical Processing Units (GPUs). The tip-sample interaction estimation problem is posed as an inverse problem and is solved in near-real time using GPUs. We investigate several cost-functional formulations to ensure quality of reconstruction while maintaining a high rate of reconstruction. The computational scheme is verified with preliminary experimental results.his paper presents a numerical-experimental integrated framework for rapid online estimation of the tip sample interaction forces for high speed AFM dynamic imaging. Quantifying the tip-sample interaction in AFM dynamic imaging is crucial towards achieving high speed dynamic-mode AFM imaging with minimized tip-sample forces, particularly when imaging live biological samples in liquid media. Large tip-sample interactions can result in sample deformation or even destruction of the live biological samples. In this article, we propose an ultra-fast inversion strategy based on parallel algorithms implemented on Graphical Processing Units (GPUs). The tip-sample interaction estimation problem is posed as an inverse problem and is solved in near-real time using GPUs. We investigate several cost-functional formulations to ensure quality of reconstruction while maintaining a high rate of reconstruction. The computational scheme is verified with preliminary experimental results.
Keywords :
atomic force microscopy; computer graphic equipment; computerised instrumentation; coprocessors; image reconstruction; parallel algorithms; biological samples; dynamic mode atomic force microscope imaging; graphical processing units; high speed AFM dynamic imaging; minimized tip sample forces; numerical-experimental integrated framework; parallel algorithms; rapid online quantification; reconstruction quality; tip sample interaction forces; ultra fast inversion strategy; Complexity theory; Dynamics; Force; Graphics processing unit; Imaging; Inverse problems; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
ISSN :
0743-1619
Print_ISBN :
978-1-4577-0080-4
Type :
conf
DOI :
10.1109/ACC.2011.5991007
Filename :
5991007
Link To Document :
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