Quantitative characterization of changes in dynamical behavior for single-particle tracking studies.

D Montiel; H Cang; H Yang

doi:10.1021/jp062024j

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PubMed · 17020359

Quantitative characterization of changes in dynamical behavior for single-particle tracking studies.

D Montiel·H Cang·H Yang

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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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Algorithms Confidence Intervals Diffusion Likelihood Functions Microscopy, Video Models, Statistical Motion Nanoparticles Stochastic Processes Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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D Montiel, H Cang, H Yang. 2006-10-12. Quantitative characterization of changes in dynamical behavior for single-particle tracking studies.. https://doi.org/10.1021/jp062024j

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