A quantitative comparison of single-dye tracking analysis tools using Monte Carlo simulations.

ABSTRACT: Single-particle tracking (SPT) is widely used to study processes from membrane receptor organization to the dynamics of RNAs in living cells. While single-dye labeling strategies have the benefit of being minimally invasive, this comes at the expense of data quality; typically a data set of short trajectories is obtained and analyzed by means of the mean square displacements (MSD) or the distribution of the particles' displacements in a set time interval (jump distance, JD). To evaluate the applicability of both approaches, a quantitative comparison of both methods under typically encountered experimental conditions is necessary. Here we use Monte Carlo simulations to systematically compare the accuracy of diffusion coefficients (D-values) obtained for three cases: one population of diffus

SUBMITTER: Weimann L 

PROVIDER: S-EPMC3667770 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature