Entropy rates of physiological aging on microscopy

This paper presents a method for computing entropy rates of images by modeling a stationary Markov chain constructed from a weighted graph. The proposed method was applied to the quantification of the complex behavior of the growing rates of physiological aging of Caenorhabditis elegans (C. elegans) on microscopic images, which has been considered as one of the most challenging problems in the search for metrics that can be used for identifying differences among stages in high-throughput and high-content images of physiological aging.