Restoration of the cantilever bowing distortion in Atomic Force Microscopy images

S. A. Tsaftaris; J. Zujovic; A. K. Katsaggelos

Restoration of the cantilever bowing distortion in Atomic Force Microscopy images

S. A. Tsaftaris^*, J. Zujovic, A. K. Katsaggelos

^*Corresponding author for this work

School of Engineering

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

Abstract / Description of output

Due to the mechanics of the Atomic Force Microscope (AFM), there is a curvature distortion (bowing effect) present in the acquired images. At present, flattening such images requires human intervention to manually segment object data from the background, which is time consuming and highly inaccurate. In this paper, an automated algorithm to flatten lines from AFM images is presented. The proposed method classifies the data into objects and background, and fits convex lines in an iterative fashion. Results on real images from DNA wrapped carbon nanotubes (DNACNTs) and synthetic experiments are presented, demonstrating the effectiveness of the proposed algorithm in increasing the resolution of the surface topography. In addition a link between the flattening problem and MRI inhomogeneity (shading) is given and the proposed method is compared to an entropy based MRI inhomogeniety correction method. copyright by EURASIP.

Original language	English
Title of host publication	EURASIP
Publication status	Published - 1 Dec 2008
Event	16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland Duration: 25 Aug 2008 → 29 Aug 2008

Publication series

Name	European Signal Processing Conference
ISSN (Print)	2219-5491

Conference

Conference	16th European Signal Processing Conference, EUSIPCO 2008
Country/Territory	Switzerland
City	Lausanne
Period	25/08/08 → 29/08/08

Cite this

@inproceedings{d063add4f1904a38a9caab3285bfd227,

title = "Restoration of the cantilever bowing distortion in Atomic Force Microscopy images",

abstract = "Due to the mechanics of the Atomic Force Microscope (AFM), there is a curvature distortion (bowing effect) present in the acquired images. At present, flattening such images requires human intervention to manually segment object data from the background, which is time consuming and highly inaccurate. In this paper, an automated algorithm to flatten lines from AFM images is presented. The proposed method classifies the data into objects and background, and fits convex lines in an iterative fashion. Results on real images from DNA wrapped carbon nanotubes (DNACNTs) and synthetic experiments are presented, demonstrating the effectiveness of the proposed algorithm in increasing the resolution of the surface topography. In addition a link between the flattening problem and MRI inhomogeneity (shading) is given and the proposed method is compared to an entropy based MRI inhomogeniety correction method. copyright by EURASIP.",

author = "Tsaftaris, {S. A.} and J. Zujovic and {K. Katsaggelos}, A.",

year = "2008",

month = dec,

day = "1",

language = "English",

series = "European Signal Processing Conference",

booktitle = "EURASIP",

note = "16th European Signal Processing Conference, EUSIPCO 2008 ; Conference date: 25-08-2008 Through 29-08-2008",

}

TY - GEN

T1 - Restoration of the cantilever bowing distortion in Atomic Force Microscopy images

AU - Tsaftaris, S. A.

AU - Zujovic, J.

AU - K. Katsaggelos, A.

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Due to the mechanics of the Atomic Force Microscope (AFM), there is a curvature distortion (bowing effect) present in the acquired images. At present, flattening such images requires human intervention to manually segment object data from the background, which is time consuming and highly inaccurate. In this paper, an automated algorithm to flatten lines from AFM images is presented. The proposed method classifies the data into objects and background, and fits convex lines in an iterative fashion. Results on real images from DNA wrapped carbon nanotubes (DNACNTs) and synthetic experiments are presented, demonstrating the effectiveness of the proposed algorithm in increasing the resolution of the surface topography. In addition a link between the flattening problem and MRI inhomogeneity (shading) is given and the proposed method is compared to an entropy based MRI inhomogeniety correction method. copyright by EURASIP.

AB - Due to the mechanics of the Atomic Force Microscope (AFM), there is a curvature distortion (bowing effect) present in the acquired images. At present, flattening such images requires human intervention to manually segment object data from the background, which is time consuming and highly inaccurate. In this paper, an automated algorithm to flatten lines from AFM images is presented. The proposed method classifies the data into objects and background, and fits convex lines in an iterative fashion. Results on real images from DNA wrapped carbon nanotubes (DNACNTs) and synthetic experiments are presented, demonstrating the effectiveness of the proposed algorithm in increasing the resolution of the surface topography. In addition a link between the flattening problem and MRI inhomogeneity (shading) is given and the proposed method is compared to an entropy based MRI inhomogeniety correction method. copyright by EURASIP.

UR - http://www.scopus.com/inward/record.url?scp=84863773936&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84863773936

T3 - European Signal Processing Conference

BT - EURASIP

T2 - 16th European Signal Processing Conference, EUSIPCO 2008

Y2 - 25 August 2008 through 29 August 2008

ER -

Restoration of the cantilever bowing distortion in Atomic Force Microscopy images

Abstract / Description of output

Publication series

Conference

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