Characterization of cancer intracellular space using the K-S entropy for images

Gaining insights into the dynamical mechanisms and information uncertainty underlying complex biological systems has been an exciting and challenging research pursuit in the interplay of theoretical biology, information theory and signal processing. The study is important because such a complex system can be effectively controlled if its dynamical model can be identified. The theory of chaos offers a powerful tool for studying the complexity of nonlinear dynamical systems, and its Kolmogorov-Sinai (K-S) entropy is an important method for distinguishing between different types of data characterizing various behaviors of nonlinear systems. An original model is proposed for estimating K-S entropy of real intracellular space. Our findings suggest that the intracellular space of the head and neck squamous cell carcinoma SCC61 cell lines is subject to spatial chaos. Such findings can be very useful for the control of spatial parameters involving the modeling and simulation of cancer in spatial cells.