Detection of differentiated vs. Undifferentiated colonies of iPS cells using random forests modeled with the multivariate Polya distribution

Abstract

In this paper we propose a novel method for automatic detection of undifferentiated vs. differentiated colonies of iPS cells,which is able to achieve excellent accuracy of detection using only a few training images. Local patches in the images are represented through the responses of texture-layout filters over texton maps and learned using Random Forests. Additionally,we propose a novel method for probabilistic modeling of the information available at the leaves of the individual trees in the forest,based on the multivariate Polya distribution.