
handle: 1959.13/1340202
Emerging multifrequency atomic force microscopy (MF-AFM) methods rely on coherent demodulation of the cantilever deflection signal at multiple frequencies. These measurements are needed in order to close the z -axis feedback loop and to acquire complementary information on the tip–sample interaction. While the common method is to use a lock-in amplifier capable of recovering low-level signals from noisy backgrounds, its performance is ultimately bounded by the bandwidth of low-pass filters. In light of the demand for constantly increasing imaging speeds while providing multifrequency flexibility, we propose to estimate the in-phase and quadrature components with a linear time-varying Kalman filter. The chosen representation allows for an efficient high-bandwidth implementation on a field programmable gate array. Tracking bandwidth and noise performance are verified experimentally, and trimodal AFM results on a two-component polymer sample highlight the applicability of the proposed method for MF-AFM.
multifrequency atomic forcemicroscopy (MF-AFM), Kalman filter, state estimation, field programmable gate array (FPGA) implementation, 620
multifrequency atomic forcemicroscopy (MF-AFM), Kalman filter, state estimation, field programmable gate array (FPGA) implementation, 620
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