Parameters and Driving Force Estimation of Cell Motility via Expectation-Maximization (EM) Approach
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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.
2007 ◽
Vol 26
(8)
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pp. 1046-1057
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1992 ◽
Vol 9
(11)
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pp. 2097
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1995 ◽
Vol 30
(2)
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pp. 125-148
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