id: 06059000
dt: a
an: 06059000
au: Sun, Cheng-li; Xu, Yong; Jia, Jie; He, Yu
ti: Detection of protein spots from complex region on real gel image.
so: Huang, De-Shuang (ed.) et al., Bio-inspired computing and applications. 7th
    international conference on intelligent computing, ICIC 2011,
    Zhengzhou, China, August 11‒14. 2011. Revised selected papers.
    Berlin: Springer (ISBN 978-3-642-24552-7/pbk). Lecture Notes in
    Computer Science 6840. Lecture Notes in Bioinformatics, 632-640 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: gel electrophoresis; spot detection; watershed transform
ci: 
li: doi:10.1007/978-3-642-24553-4_84
ab: Summary: Protein spot detection is an important step in gel image analysis.
    The results of spot detection may substantially influence gel image
    analysis. One of the most challenges of spot detection is separation of
    spots from complex region, where spots are overlapped and saturated. In
    this paper, we propose a spot detection algorithm which is capable of
    detection of spots from complex region. The proposed approach is
    realized by using European distance transform and centroid marker based
    watershed. Firstly, we apply a standard marker-controlled watershed
    algorithm to roughly segment the gel image into multiple regions. For
    those complex region containing several overlapped spots, we estimate
    spot centroids through a European distance transform. The estimated
    centroids are then served as spot markers in marker-controlled
    watershed algorithm to make a fine spot segmentation. Experimental
    results show the proposed method can obtain high detection performance
    in real gel images, and can accurately identify overlapped spots in
    complex region, when compared to other popular spot detection methods.
rv: