A Quantitative Comparison of Single-Dye Tracking Analysis Tools Using Monte Carlo Simulations

Laura Weimann, Kristina A Ganzinger, James McColl, Kate L Irvine, Simon J Davis, Nicholas J Gay, Clare E Bryant and David Klenerman

PLOS ONE, 2013, vol. 8, issue 5, 1-9

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 diffusing species, two populations with different D-values, and a population switching between two D-values. For the first case we find that the MSD gives more or equally accurate results than the JD analysis (relative errors of D-values

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0064287

DOI: 10.1371/journal.pone.0064287

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