This paper presents a data-driven dynamics-based filtering

approach to eliminate acoustic noise-caused distortion in images

of atomic force microscope (AFM). AFM operations are sensitive

to external noise as disturbances including acoustic noise as disturbances

to the probe-sample interaction directly results in distortions

in AFM imaging. Although conventional passive noise

cancellation has been employed, limitation exists and residual

noise still persists. Advanced online control techniques face difficulty

in capturing the complex noise dynamic and limited system

bandwidth imposed by the robustness requirement. Therefore,

In this work, we propose a finite-impulse-response(FIR) based

post-filtering approach to remove the noise-caused distortion in

AFM images. Experimental implementation is presented and discussed

to illustrate the proposed technique.


Data-Driven Post-Filtering of Acoustics Noise in Atomic Force Microscope Imaging

Division / Sponsors: 
Dynamic Systems & Control (DSCD)

Paper Proceedings: https://asmedigitalcollection.asme.org/DSCC/DSCC2020/volume/84270

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