Automatic embryonic stem cells detection and counting method in fluorescence microscopy images

Abstract

In this paper, we propose an automatic embryonic stem cell detection and counting method for fluorescence microscopy images. We handle with pluripotent stem cells cultured in vitro. Our approach uses the luminance information to generate a graph-based image representation. Next, a graph mining process is used to detect the cells. The proposed method was extensively tested on a database of 92 images and specialists validated the results. We obtained an average precision, recall and F-measure of 93.97%, 92.04% and 92.87%, respectively.