Adaptive multi-loop mode atomic force microscope imaging

Juan Ren; Qingze Zou; Bo Li; Zhiqun Lin

doi:10.1115/dscc2014-6234

Adaptive multi-loop mode atomic force microscope imaging

Juan Ren, Qingze Zou, Bo Li, Zhiqun Lin

Department of Chemistry & Nanoscience

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An adaptive multi-loop mode (AMLM) imaging of atomic force microscope (AFM) is proposed. Due to its superior image quality and less sample disturbances, tapping mode (TM) imaging is currently the de facto most widely used imaging technique. However, the speed of TM-imaging is substantially limited, and becoming the major bottleneck of this technique. The proposed AMLM-imaging overcomes the limits of TM-imaging by utilizing control techniques to substantially increase the speed of TM-imaging while preserving the advantages of TM-imaging. The AMLM-imaging is tested and demonstrated through imaging a PtBA sample in experiments, and the experiment results demonstrated that the image quality over large-size imaging (50 μm by 25 μm) achieved at the scan rate of 25 Hz is at the same level of that when using TM-imaging at 1 Hz, while the probe-sample interaction force is smaller than that of the TM-imaging at 2.5 Hz.

Original language	English
Title of host publication	Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791846186
DOIs	https://doi.org/10.1115/dscc2014-6234
State	Published - 2014
Event	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States Duration: 22 Oct 2014 → 24 Oct 2014

Publication series

Name	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Volume	1

Conference

Conference	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Country/Territory	United States
City	San Antonio
Period	22/10/14 → 24/10/14

Bibliographical note

Publisher Copyright:
Copyright © 2014 by ASME.

Access to Document

10.1115/dscc2014-6234

Cite this

Ren, J., Zou, Q., Li, B., & Lin, Z. (2014). Adaptive multi-loop mode atomic force microscope imaging. In Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 1). American Society of Mechanical Engineers. https://doi.org/10.1115/dscc2014-6234

Ren, Juan ; Zou, Qingze ; Li, Bo et al. / Adaptive multi-loop mode atomic force microscope imaging. Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. American Society of Mechanical Engineers, 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014).

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title = "Adaptive multi-loop mode atomic force microscope imaging",

abstract = "An adaptive multi-loop mode (AMLM) imaging of atomic force microscope (AFM) is proposed. Due to its superior image quality and less sample disturbances, tapping mode (TM) imaging is currently the de facto most widely used imaging technique. However, the speed of TM-imaging is substantially limited, and becoming the major bottleneck of this technique. The proposed AMLM-imaging overcomes the limits of TM-imaging by utilizing control techniques to substantially increase the speed of TM-imaging while preserving the advantages of TM-imaging. The AMLM-imaging is tested and demonstrated through imaging a PtBA sample in experiments, and the experiment results demonstrated that the image quality over large-size imaging (50 μm by 25 μm) achieved at the scan rate of 25 Hz is at the same level of that when using TM-imaging at 1 Hz, while the probe-sample interaction force is smaller than that of the TM-imaging at 2.5 Hz.",

author = "Juan Ren and Qingze Zou and Bo Li and Zhiqun Lin",

note = "Publisher Copyright: Copyright {\textcopyright} 2014 by ASME.; ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

doi = "10.1115/dscc2014-6234",

language = "English",

series = "ASME 2014 Dynamic Systems and Control Conference, DSCC 2014",

publisher = "American Society of Mechanical Engineers",

booktitle = "Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems",

}

Ren, J, Zou, Q, Li, B & Lin, Z 2014, Adaptive multi-loop mode atomic force microscope imaging. in Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, vol. 1, American Society of Mechanical Engineers, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, San Antonio, United States, 22/10/14. https://doi.org/10.1115/dscc2014-6234

Adaptive multi-loop mode atomic force microscope imaging. / Ren, Juan; Zou, Qingze; Li, Bo et al.
Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. American Society of Mechanical Engineers, 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adaptive multi-loop mode atomic force microscope imaging

AU - Ren, Juan

AU - Zou, Qingze

AU - Li, Bo

AU - Lin, Zhiqun

PY - 2014

Y1 - 2014

N2 - An adaptive multi-loop mode (AMLM) imaging of atomic force microscope (AFM) is proposed. Due to its superior image quality and less sample disturbances, tapping mode (TM) imaging is currently the de facto most widely used imaging technique. However, the speed of TM-imaging is substantially limited, and becoming the major bottleneck of this technique. The proposed AMLM-imaging overcomes the limits of TM-imaging by utilizing control techniques to substantially increase the speed of TM-imaging while preserving the advantages of TM-imaging. The AMLM-imaging is tested and demonstrated through imaging a PtBA sample in experiments, and the experiment results demonstrated that the image quality over large-size imaging (50 μm by 25 μm) achieved at the scan rate of 25 Hz is at the same level of that when using TM-imaging at 1 Hz, while the probe-sample interaction force is smaller than that of the TM-imaging at 2.5 Hz.

AB - An adaptive multi-loop mode (AMLM) imaging of atomic force microscope (AFM) is proposed. Due to its superior image quality and less sample disturbances, tapping mode (TM) imaging is currently the de facto most widely used imaging technique. However, the speed of TM-imaging is substantially limited, and becoming the major bottleneck of this technique. The proposed AMLM-imaging overcomes the limits of TM-imaging by utilizing control techniques to substantially increase the speed of TM-imaging while preserving the advantages of TM-imaging. The AMLM-imaging is tested and demonstrated through imaging a PtBA sample in experiments, and the experiment results demonstrated that the image quality over large-size imaging (50 μm by 25 μm) achieved at the scan rate of 25 Hz is at the same level of that when using TM-imaging at 1 Hz, while the probe-sample interaction force is smaller than that of the TM-imaging at 2.5 Hz.

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DO - 10.1115/dscc2014-6234

M3 - Conference contribution

AN - SCOPUS:84929378053

T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014

BT - Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems

PB - American Society of Mechanical Engineers

T2 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014

Y2 - 22 October 2014 through 24 October 2014

ER -

Ren J, Zou Q, Li B, Lin Z. Adaptive multi-loop mode atomic force microscope imaging. In Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. American Society of Mechanical Engineers. 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014). doi: 10.1115/dscc2014-6234

Adaptive multi-loop mode atomic force microscope imaging

Abstract

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