Quantitative Characterization of Changes in Dynamical Behavior for Single-Particle Tracking Studies
The Journal of Physical Chemistry B2006Vol. 110(40), pp. 19763–19770
Citations Over TimeTop 10% of 2006 papers
Abstract
Single-particle tracking experiments have been used widely to study the heterogeneity of a sample. Segments with dissimilar diffusive behaviors are associated with different intermediate states, usually by visual inspection of the tracking trace. A likelihood-based, systematic approach is presented to remove this incertitude. Maximum likelihood estimators are derived for the determination of diffusion coefficients. A likelihood ratio test is applied to the localization of the changes in them. Simulations suggest that the proposed procedure is statistically robust and is able to quantitatively recover time-dependent changes in diffusion coefficients even in the presence of large measurement noise.
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