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arXiv · 1502.07285

Pitfalls in the quantitative analysis of random walks and the mapping of single-molecule dynamics at the cellular scale

Jean-Baptiste Masson·Maxime Dahan·Antoine Triller
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Abstract

In recent years Bayesian Inference has become an efficient tool to analyse single molecule trajectories. Recently, high density single molecule tagging, Langevin Equation modelling and Bayesian Inference [10] have been used to infer diffusion, force and potential fields at the full cell scale. In this short comment, we point out pitfalls [1, 2] to avoid in single molecule analysis in order to get unbiased results and reliable fields at various scales.

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Jean-Baptiste Masson, Maxime Dahan, Antoine Triller. 2015-02-25. Pitfalls in the quantitative analysis of random walks and the mapping of single-molecule dynamics at the cellular scale. https://arxiv.org/abs/1502.07285

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