scholarly journals Dynamic response of glucagon/anti-glucagon pairs to pulling velocity and pH studied by atomic force microscopy

2007 ◽  
Vol 22 (6) ◽  
pp. 1013-1019 ◽  
Author(s):  
Shiming Lin ◽  
Yu-Ming Wang ◽  
Long-Sun Huang ◽  
Chii-Wann Lin ◽  
Su-Ming Hsu ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Dynamic Response ◽  
Force Microscopy ◽  
Atomic Force ◽  
Pulling Velocity

scholarly journals Dynamic response of HPV16/anti-HPV16 pairs with unbinding events studied by atomic force microscopy

2016 ◽  
Vol 6 ◽  
pp. 203-208 ◽  
Author(s):  
Shiming Lin ◽  
Chung-Hung Hong ◽  
Bor-Ching Sheu ◽  
Long-Xin Wu ◽  
Wan-Chen Huang ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Dynamic Response ◽  
Force Microscopy ◽  
Atomic Force

scholarly journals Gradient Estimator-Based Amplitude Estimation for Dynamic Mode Atomic Force Microscopy: Small-Signal Modeling and Tuning

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2703
Author(s):  
Hafiz Ahmed ◽  
Mohamed Benbouzid
Keyword(s):  
Atomic Force Microscopy ◽  
Computational Complexity ◽  
Dynamic Response ◽  
Dynamic Mode ◽  
Small Signal ◽  
Signal Modeling ◽  
Force Microscopy ◽  
Atomic Force ◽  
Small Signal Modeling ◽  
High Computational Complexity

Atomic force microscopy (AFM) plays an important role in nanoscale imaging application. AFM works by oscillating a microcantilever on the surface of the sample being scanned. In this process, estimating the amplitude of the cantilever deflection signal plays an important role in characterizing the topography of the surface. Existing approaches on this topic either have slow dynamic response e.g., lock-in-amplifier or high computational complexity e.g., Kalman filter. In this context, gradient estimator can be considered as a trade-off between fast dynamic response and high computational complexity. However, no constructive tuning rule is available in the literature for gradient estimator. In this paper, we consider small-signal modeling and tuning of gradient estimator. The proposed approach greatly simplifies the tuning procedure. Numerical simulation and experimental results are provided to demonstrate the suitability of the proposed tuning procedure.

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