most citedMapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multi-scale dynamics of glycine receptors in the neuronal membrane

107 citations · 109 across the 3 of their papers we have counts for

collaborators
Showing physics.bio-phShow all

2 papers · 1 filter

physics.bio-ph2015★ 1 cited

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

In recent years Bayesian Inference has become an efficient tool to analyse single molecule trajectories. Recently, high density single molecule tagging, Langevin Equation modelling…

physics.bio-ph2015★ 107 cited

Mapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multi-scale dynamics of glycine receptors in the neuronal membrane

Jean-Baptiste Masson, Patrice Dionne, Charlotte Salvatico +4

Protein mobility is conventionally analyzed in terms of an effective diffusion. Yet, this description often fails to properly distinguish and evaluate the physical parameters (such…