DocumentCode
574500
Title
Automatic lateral resonance identification from cantilever deflection information in high speed atomic force microscopy
Author
Burns, Daniel J. ; Fantner, G.E. ; Youcef-Toumi, Kamal
Author_Institution
Dept. of Mech. Eng, Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2012
fDate
27-29 June 2012
Firstpage
3240
Lastpage
3246
Abstract
As progress in nanotechnology and molecular biology advances, demand for high speed and high quality imaging techniques have increased to the point where image acquisition rates in atomic force microcopy (AFM) become impediments to further discovery. High speed operation excites lateral resonances in the AFM´s x-y scanner that can distort the image, and addressing these disturbances typically require sophisticated modeling and controls techniques to mitigate their influence. This places excessive demands on routine users of AFM not accustomed to system identification and compensator design. This paper presents a novel method for characterizing lateral resonances using only cantilever deflection information, and automatically designing and implementing controllers for realtime compensation of scanner resonances. A new custom-built high speed AFM is described and modeled, and compensators are automatically designed and implemented without user interaction. This combined system has achieved scan rates of over 1,000 lines per second in liquid, yielding 5 μm × 5 μm images more than eight times per second.
Keywords
atomic force microscopy; cantilevers; image scanners; AFM x-y scanner; automatic lateral resonance identification; cantilever deflection information; compensator design; high speed atomic force microscopy; identification system design; image acquisition; image distortion; imaging quality technique; molecular biology; nanotechnology; scanner resonance compensation; Couplings; Force; Liquids; Mathematical model; Microscopy; Surfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6315085
Filename
6315085
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