Cell motility dynamics: a novel segmentation algorithm to quantify multi-cellular bright field microscopy images.

ABSTRACT: Confocal microscopy analysis of fluorescence and morphology is becoming the standard tool in cell biology and molecular imaging. Accurate quantification algorithms are required to enhance the understanding of different biological phenomena. We present a novel approach based on image-segmentation of multi-cellular regions in bright field images demonstrating enhanced quantitative analyses and better understanding of cell motility. We present MultiCellSeg, a segmentation algorithm to separate between multi-cellular and background regions for bright field images, which is based on classification of local patches within an image: a cascade of Support Vector Machines (SVMs) is applied using basic image features. Post processing includes additional classification and graph-cut segmentation to re

SUBMITTER: Zaritsky A 

PROVIDER: S-EPMC3212570 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature