Design and Control of a Dual-Probe Atomic Force Microscope
Abstract
Current atomic force microscopes (AFMs) support single-probe operation, in which one nanosized tip enables versatile operations such as surface imaging, nanomanipulation, and nanomanufacturing to be performed, although one at a time. Some AFM operations involve switching between imaging and the operational mode, which is cumbersome, challenging, and limiting, particularly when different probe geometries are preferred for each mode. This paper presents a new dual-probe atomic force microscope (DP-AFM) that has two independent probes operating in a common workspace. Such a setup enables two AFM operations to be carried out simultaneously. For instance, one probe can be used to image, while the other probe performs one of the many tip-based processes. The hardware and software design involved in developing the DP-AFM is discussed in detail. Furthermore, to demonstrate the capability of dual-probe arrangement, a controller is developed for real-time plowing depth control, where one probe is used to plow the surface, while the other is used to image the plow profile, thus enabling real-time feedback control of the AFM plow process. Experimental results show that the plow depth can be regulated with nanometer-level accuracy.
Recommended Citation
M. Loganathan et al., "Design and Control of a Dual-Probe Atomic Force Microscope," IEEE/ASME Transactions on Mechatronics, vol. 23, no. 1, pp. 424 - 433, Institute of Electrical and Electronics Engineers (IEEE), Feb 2018.
The definitive version is available at https://doi.org/10.1109/TMECH.2017.2779241
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Atomic force microscopy (AFM); Image processing; Imaging techniques; Interactive computer systems; Laser beams; Low pass filters; Microscopes; Probes; Real time systems; Software design; Force; Multiprobes; Nano-manufacturing; Nanobiosciences; Plowing; Process control; Dualprobe; Nanomanufacturing
International Standard Serial Number (ISSN)
1083-4435
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Feb 2018
Comments
This work was supported by the National Science Foundation under Grant CMMI-1229701, and by the Missouri University of Science and Technology Materials Research Center and the Intelligent Systems Center.