• 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