How Easy Is It to Learn Motion Models from Widefield Fluorescence Single Particle Tracks?

ABSTRACT: Motion models (i.e., transition probability densities) are often deduced from fluorescence widefield tracking experiments by analyzing single-particle trajectories post-processed from data. This analysis immediately raises the question: To what degree is our ability to learn motion models impacted by analyzing post-processed trajectories versus raw measurements? To answer this question, we mathematically formulate a data likelihood for diffraction-limited fluorescence widefield tracking experiments. In particular, we make the likelihood's dependence on the motion model versus the emission (or measurement) model explicit. The emission model describes how photons emitted by biomolecules are distributed in space according to the optical point spread function, with intensities subsequently int

SUBMITTER: Hendrix ZH 

PROVIDER: S-EPMC12265587 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature