Single particle tracking techniques can be found in many applications in mathematical biology. These techniques are based on stochastic models whose features rely on defining a problem as a sequence of states. Theory allows us to infer unknown properties of these models using Bayesian inference methods, as well as explore long-term dynamics of the systems. In this talk, I will explore some of these applications in the areas of intracellular transport in live cells, endosomal escape in cancer cells, and FRET models in protein dynamics.
Applications of Single Particle Tracking
Keisha Cook, Clemson UniversityAuthors: Keisha Cook
2023 AWM Research Symposium
Pure and Applied Talks by Mathematicians Enhancing Diversity in Graduate Education (EDGE) [Organized by Quiyana M. Murphy and Sofía Martínez Alberga]