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

Weimann, Laura, Ganzinger, Kristina A., McColl, James, Irvine, Kate L., Davis, Simon J., Gay, Nicholas J., Bryant, Clare E. and Klenerman, David (2013) A quantitative comparison of single-dye tracking analysis tools using Monte Carlo simulations. PLoS One, 8 (5). ISSN 1932-6203

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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 <6%). If two diffusing species are present or a particle undergoes a motion change, the JD analysis successfully distinguishes both species (relative error <5%). Finally we apply the JD analysis to investigate the motion of endogenous LPS receptors in live macrophages before and after treatment with methyl-β-cyclodextrin and latrunculin B.

Item Type: Article
Faculty \ School: Faculty of Science > School of Biological Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 15 Aug 2022 15:31
Last Modified: 22 Oct 2022 07:53
URI: https://ueaeprints.uea.ac.uk/id/eprint/87269
DOI: 10.1371/journal.pone.0064287

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