Three-dimensional localization refinement and motion model parameter estimation for confined single particle tracking under low-light conditions.

ABSTRACT: Confined diffusion is an important model for describing the motion of biological macromolecules moving in the crowded, three-dimensional environment of the cell. In this work we build upon the technique known as sequential Monte Carlo - expectation maximization (SMC-EM) to simultaneously localize the particle and estimate the motion model parameters from single particle tracking data. We extend SMC-EM to handle the double-helix point spread function (DH-PSF) for encoding the three-dimensional position of the particle in the two-dimensional image plane of the camera. SMC-EM can handle a wide range of camera models and here we assume the data was acquired using a scientific CMOS (sCMOS) camera. The sensitivity and speed of these cameras make them well suited for SPT, though the pixel-depende

SUBMITTER: Lin Y 

PROVIDER: S-EPMC8515956 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature