3D-printed cellular tips for tuning fork atomic force microscopy in shear mode

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作者
Liangdong Sun
Hongcheng Gu
Xiaojiang Liu
Haibin Ni
Qiwei Li
Yi Zeng
Ning Chang
Di Zhang
Hongyuan Chen
Zhiyong Li
Xiangwei Zhao
Zhongze Gu
机构
[1] Southeast University,State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering
[2] Southeast University,National Demonstration Center for Experimental Biomedical Engineering Education
[3] Nanjing University,State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering
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Conventional atomic force microscopy (AFM) tips have remained largely unchanged in nanomachining processes, constituent materials, and microstructural constructions for decades, which limits the measurement performance based on force-sensing feedbacks. In order to save the scanning images from distortions due to excessive mechanical interactions in the intermittent shear-mode contact between scanning tips and sample, we propose the application of controlled microstructural architectured material to construct AFM tips by exploiting material-related energy-absorbing behavior in response to the tip–sample impact, leading to visual promotions of imaging quality. Evidenced by numerical analysis of compressive responses and practical scanning tests on various samples, the essential scanning functionality and the unique contribution of the cellular buffer layer to imaging optimization are strongly proved. This approach opens new avenues towards the specific applications of cellular solids in the energy-absorption field and sheds light on novel AFM studies based on 3D-printed tips possessing exotic properties.
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