Publications

11/13/2012
Antonio Cardone, Peter Bajcsy, YaShian Li-Baboud, Mary C. Brady, Julien Amelot
Abstract:

A supervised segmentation technique classifies pixels in sub-cellular microscopy images into biologically meaningful regions with associated model bias quantification. Our work focuses specifically on actin structures, and analyzes sub-cellular regions using optical confocal fluorescent microscopy images at 200 nanometer resolution. We present the overview of our segmentation algorithm, based on the Gaussian Mixture Model (GMM), a Bayesian classifier.

Description:

November 13, 2012 - SPIE : International Society for Optics and Photonics A. Cardone, J. Amelot, Y. Li-Baboud, M. Brady, P. Bajcsy


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