Motility is an important property of immune system cells. To describe cell motility, we use a continuous stochastic process and estimate its parameters and driving force based on a maximum likelihood approach. In order to improve the convergence of the maximization procedure, we use expectation-maximization (EM) iterations. The iterations include numerical maximization and the Kalman filter. To illustrate the method, we use cell tracks obtained from the intravital video microscopy of a zebrafish embryo.
- Dynamic Systems and Control Division
Parameters and Driving Force Estimation of Cell Motility via Expectation-Maximization (EM) Approach
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Milutinovic´, D, & Garg, DP. "Parameters and Driving Force Estimation of Cell Motility via Expectation-Maximization (EM) Approach." Proceedings of the ASME 2010 Dynamic Systems and Control Conference. ASME 2010 Dynamic Systems and Control Conference, Volume 1. Cambridge, Massachusetts, USA. September 12–15, 2010. pp. 883-889. ASME. https://doi.org/10.1115/DSCC2010-4152
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