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

Autor:	Masson, Jean-Baptiste, Dahan, Maxime, Triller, Antoine
Rok vydání:	2015
Předmět:	Physics - Biological Physics Quantitative Biology - Quantitative Methods
Druh dokumentu:	Working Paper
Popis:	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. Comment: 5 pages, 1 figure
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1502.07285 Zobrazit plný text záznamu View this record from Arxiv