Quantitative Characterization of Changes in Dynamical Behavior for Single-Particle Tracking Studies

J Phys Chem B. 2006 Oct 12;110(40):19763-70. doi: 10.1021/jp062024j.

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Confidence Intervals
  • Diffusion
  • Likelihood Functions*
  • Microscopy, Video
  • Models, Statistical*
  • Motion
  • Nanoparticles*
  • Stochastic Processes