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.
Original language | English (US) |
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Pages (from-to) | 19763-19770 |
Number of pages | 8 |
Journal | Journal of Physical Chemistry B |
Volume | 110 |
Issue number | 40 |
DOIs | |
State | Published - Oct 12 2006 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Materials Chemistry
- Surfaces, Coatings and Films
- Physical and Theoretical Chemistry