TY - GEN
T1 - Rapid online quantification of tip-sample interaction for high-speed dynamic-mode atomic force microscope imaging
AU - Busch, David
AU - Ren, Juan
AU - Zou, Qingze
AU - Ganapathysubramanian, Baskar
PY - 2011
Y1 - 2011
N2 - 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.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.T.
AB - 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.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.T.
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U2 - 10.1109/acc.2011.5991007
DO - 10.1109/acc.2011.5991007
M3 - Conference contribution
AN - SCOPUS:80053151302
SN - 9781457700804
T3 - Proceedings of the American Control Conference
SP - 2879
EP - 2884
BT - Proceedings of the 2011 American Control Conference, ACC 2011
PB - Institute of Electrical and Electronics Engineers Inc.
ER -