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Segmentation of 2D electrophoresis gel images for protein expression analysis
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). Chalmers University of Technology, Gothenburg, Sweden.
2005 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology ; Halmstad : School of Information Science, Computer and Electrical Engineering , 2005. , p. 26
Series
Technical report, ISSN 1403-266X ; R028/2005
Keywords [en]
Two-dimensional gel electrophoresis, Image analysis, Image segmentation, Proteomics, Structure tensors, Spot detection, Spot segmentation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-714Libris ID: 10185544Local ID: 2082/1063OAI: oai:DiVA.org:hh-714DiVA, id: diva2:237932
Presentation
(English)
Note

Contains 2 papers

Available from: 2007-06-04 Created: 2007-06-04 Last updated: 2018-03-23Bibliographically approved
List of papers
1. Protein spot detection by symmetry derivatives of Gaussians
Open this publication in new window or tab >>Protein spot detection by symmetry derivatives of Gaussians
2003 (English)In: Image analysis, 13th Scandinavian Conference, SCIA 2003, Halmstad, Sweden, June 29 - July 2, 2003, Proceedings / [ed] Josef Bigun, Tomas Gustavsson (Eds), Springer , 2003, Vol. LNCS-2749, p. 520-525Conference paper, Published paper (Refereed)
Abstract [en]

Two-dimensional gel electrophoresis is the preferred method for simultaneously separating and visualising thousands of proteins. An important part of the computer aided analysis of the proteome is the ability to automatically detect, identify, and quantify the proteins by means of automatic Image processing. We present a fast and sensitive method for protein spot detection using the Circular Symmetry Tensor. It is based upon the work of Bigun on Symmetry derivatives of Gaussians.

Place, publisher, year, edition, pages
Springer, 2003
Series
Lecture Notes in Computer Science ; 2749
National Category
Natural Sciences
Identifiers
urn:nbn:se:hh:diva-14919 (URN)10.1007/3-540-45103-X_69 (DOI)000185178400069 ()2-s2.0-35248883560 (Scopus ID)978-3-540-40601-3 (ISBN)
Conference
13th Scandinavian Conference, SCIA 2003, Halmstad, Sweden, June 29 - July 2, 2003
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2018-03-23Bibliographically approved
2. Detection of spots in 2-d electrophoresis gels by symmetry features
Open this publication in new window or tab >>Detection of spots in 2-d electrophoresis gels by symmetry features
2005 (English)In: Pattern recognition and data mining: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005 : proceedings. Part I / [ed] Sameer Singh, Maneesha Singh, Chid Apte and Petra Perner, Berlin: Springer Berlin/Heidelberg, 2005, p. 436-445Conference paper, Published paper (Refereed)
Abstract [en]

We have implemented an algorithm for detection and segmentation of protein spots in 2-D gel electrophoresis images using symmetry derivative features computed using low level image processing operations. The implementation was compared with a previously published Watershed segmentation and a commercial software. Our algorithm was found to yield segmentation results that were either better than or comparable to the other solutions while having fewer free parameters and a low computational cost. © Springer-Verlag Berlin Heidelberg 2005.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2005
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 3686
Keywords
Algorithms, Computational methods, Computer software, Electrophoresis, Gels, Image segmentation, Proteins
National Category
Engineering and Technology
Identifiers
urn:nbn:se:hh:diva-14928 (URN)000232247900047 ()2-s2.0-27244458675 (Scopus ID)978-3-540-28757-5 (ISBN)
Conference
Third International Conference on Advances in Patten Recognition, ICAPR 2005, Bath, 22 August 2005 through 25 August 2005
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2018-03-23Bibliographically approved

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Persson, Martin

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Citation style
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