A new method for automating the investigation of stem cell populations based on the analysis of the integral optical flow of a video sequence

Abstract

A new method is presented for automating the investigation of stem cell populations based on the automatic analysis of video sequences of images. For automatic image analysis, an integral optical flow apparatus is used. The proposed method classifies dynamic objects by constructing a pyramid of the integral optical flow. The main stages of the method are as follows: image capturing and processing, segmentation, measurement, and tissue description generation. Experimental tests confirm that the proposed method is capable of identifying the main stages of cellular development (mitosis, differentiation, and apoptosis).