Perceptual Grouping of Membrane Signals in Cell-based Assays
IEEE Int. Symp. on Biomedical Imaging, 2007
K. L. Andarawewa
Membrane proteins organize themselves in a linear fashion where adjacent
cells are attached together along the basal-lateral region.
Their intensity distributions are
often heterogeneous and may lack specificity.
Grouping of these linear structures can aid in segmentation
and quantitative representation of protein localization. However,
quantitative analysis of these signals is often
hindered by noise, variation in scale, and perceptual features.
This paper introduces an iterative voting method
for inferring the membrane signal as it relates to
continuity. A unique aspect of this technique is in the topography of the voting kernel,
which is refined and reoriented iteratively. The technique
can cluster and group membrane signals along the
tangential direction. It has an excellent noise
immunity and is tolerant to perturbations in
scale. Application of this technique to quantitative analysis of
cell-cell adhesion mediated by integral cell membrane proteins is demonstrated.
here to see the full version of the paper in Acrobat format