Simultaneous topography imaging and broadband nanomechanical mapping on atomic force microscope

被引:5
|
作者
Li, Tianwei [1 ]
Zou, Qingze [2 ]
机构
[1] Rutgers State Univ, Dept Elect & Comp Engn, Piscataway, NJ 08854 USA
[2] Rutgers State Univ, Dept Mech & Aerosp Engn, Piscataway, NJ 08854 USA
关键词
atomic force microscope imaging; nanomechanical mapping; Kalman filter; iterative learning control; SOFT MATTER; MODULATION;
D O I
10.1088/1361-6528/aa973a
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In this paper, an approach is proposed to achieve simultaneous imaging and broadband nanomechanical mapping of soft materials in air by using an atomic force microscope. Simultaneous imaging and nanomechanical mapping are needed, for example, to correlate the morphological and mechanical evolutions of the sample during dynamic phenomena such as the cell endocytosis process. Current techniques for nanomechanical mapping, however, are only capable of capturing static elasticity of the material, or the material viscoelasticity in a narrow frequency band around the resonant frequency(ies) of the cantilever used, not competent for broadband nanomechanical mapping, nor acquiring topography image of the sample simultaneously. These limitations are addressed in this work by enabling the augmentation of an excitation force stimuli of rich frequency spectrum for nanomechanical mapping in the imaging process. Kalman-filtering technique is exploited to decouple and split the mixed signals for imaging and mapping, respectively. Then the sample indentation generated is quantified online via a system-inversion method, and the effects of the indentation generated and the topography tracking error on the topography quantification are taken into account. Moreover, a data-driven feedforward-feedback control is utilized to track the sample topography. The proposed approach is illustrated through experimental implementation on a polydimethylsiloxane sample with a prefabricated pattern.
引用
收藏
页数:10
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