id: 05544726
dt: j
an: 05544726
au: Sun, Changming; Vallotton, Pascal; Wang, Dadong; Lopez, Jamie; Ng, Yvonne;
    James, David
ti: Membrane boundary extraction using circular multiple paths.
so: Pattern Recognition 42, No. 4, 523-530 (2009).
py: 2009
pu: Elsevier Science Ltd. (Pergamon), Oxford
la: EN
cc: 
ut: membrane; membrane assay; high content analysis; membrane segmentation;
    membrane boundary extraction; image transformation; circular multiple
    paths; closed contours
ci: 
li: doi:10.1016/j.patcog.2008.09.029
ab: Summary: Membrane proteins represent over 50\% of known drug targets.
    Accordingly, several widely used assays in the high content analysis
    area rely on quantitative measures of the translocation of proteins
    between intracellular organelles and the cell surface. In order to
    increase the sensitivity of these assays, one needs to measure the
    signal specifically along the membrane, requiring a precise
    segmentation of this compartment. Manual tracing of membrane boundary
    is very time-consuming and confronts us with issues of objectivity and
    reproducibility. In this paper, we present an approach based on a
    circular multiple paths technique on transformed images that enables us
    to segment the membrane compartment accurately and rapidly. We have
    presented three approaches for image transformation. The circular
    property of the multiple paths ensures that we are obtaining closed
    contours for the membrane boundary. The position of the multiple paths
    provides the edges of the membrane boundary. The effectiveness of our
    algorithm is illustrated using cells expressing epitope-tagged membrane
    proteins.
rv: