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• W2529678314 abstract "Identification of mechanical properties of cells is known to be an effective tool for medical diagnosis, and holds potential for future developments in treatment of various diseases. In this paper a novel method for identification of viscoelastic properties of a soft sample using atomic force microscopy in dynamic mode is presented. The estimation scheme is based on parameter identification of a lumped spring-damper system model. The estimator guarantees exponentially fast parameter convergence. The indentation depth of the tip into the sample must be constant for viscoelastic properties to be consistent during a scan. A depth controller is designed to keep the indentation constant by utilizing the online estimates of the sample spring constant and topography. Simulations show the effectiveness of the presented method." @default.
• W2529678314 created "2016-10-14" @default.
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• W2529678314 date "2016-09-01" @default.
• W2529678314 modified "2023-09-26" @default.
• W2529678314 title "Imaging topography and viscoelastic properties by constant depth atomic force microscopy" @default.
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• W2529678314 doi "https://doi.org/10.1109/cca.2016.7587931" @default.
• W2529678314 hasPublicationYear "2016" @default.
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