Analysis of single particle trajectories: when things go wrong
Biological Physics
2015-02-03 v1 Subcellular Processes
Abstract
To recover the long-time behavior and the statistics of molecular trajectories from the large number (tens of thousands) of their short fragments, obtained by super-resolution methods at the single molecule level, data analysis based on a stochastic model of their non-equilibrium motion is required. Recently, we characterized the local biophysical properties underlying receptor motion based on coarse-grained long-range interactions, corresponding to attracting potential wells of large sizes. The purpose of this letter is to discuss optimal estimators and show what happens when thing goes wrong.
Cite
@article{arxiv.1502.00286,
title = {Analysis of single particle trajectories: when things go wrong},
author = {D. Holcman and N. Hoze and Z. Schuss},
journal= {arXiv preprint arXiv:1502.00286},
year = {2015}
}
Comments
4 pages