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Thermal drift in atomic force microscopy (AFM) is one of the major hurdles to achieve accurate and efficient AFM based nanomanipulation. AFM images are all contaminated by the thermal drift which often leads to failed manipulation operations. In this paper, a local scan strategy is applied to identify the thermal drift contamination in the AFM image and then the draft contamination is compensated...
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