Quantitative characteriz

D. Montiel, H. Cang, H. Yang

Research output: Contribution to journalArticlepeer-review

135 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)19763-19770
Number of pages8
JournalJournal of Physical Chemistry B
Issue number40
StatePublished - Oct 12 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Materials Chemistry
  • Surfaces, Coatings and Films
  • Physical and Theoretical Chemistry


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