DocumentCode
1698289
Title
Protein spot detection in 2D-GE images using morphological operators
Author
Mylona, E. ; Savelonas, M.A. ; Maroulis, D. ; Vlahou, A. ; Makridakis, M.
Author_Institution
Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece
fYear
2010
Firstpage
291
Lastpage
296
Abstract
This work addresses the detection of protein spots in 2D gel electrophoresis images. A novel morphology-based approach is proposed, which utilizes the dilation operator for the localization of regional intensity maxima associated with protein spots. A disk-shaped structuring element (SE) is selected in agreement with the prevalent roundish shape of the majority of protein spots. Thus, spots within rectangular-shaped streaks are correctly detected. SE size is set considering that a certain radius value allows the discrimination of individual spots located in complex spot regions as well as small-sized spots. Moreover, spurious intensity maxima associated with noise are ignored by applying regional intensity constraints. The results of the experimental evaluation lead to the conclusion that the proposed approach detects more actual protein spots and less false spots than a renowned 2D-GE image analysis software package. Furthermore, it does not require user intervention.
Keywords
electrophoresis; mathematical morphology; medical image processing; proteins; 2D-GE image analysis software package; disk-shaped structuring element; morphological operators; protein spot detection; regional intensity constraints; spurious intensity maxima; Image analysis; Noise; Protein engineering; Proteins; Shape; Software packages;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
Conference_Location
Perth, WA
ISSN
1063-7125
Print_ISBN
978-1-4244-9167-4
Type
conf
DOI
10.1109/CBMS.2010.6042658
Filename
6042658
Link To Document