107 citations · 334 across the 11 of their papers we have counts for
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InferenceMAP: Mapping of Single-Molecule Dynamics with Bayesian Inference
Mohamed El Beheiry, Maxime Dahan, Jean-Baptiste Masson
Single-particle tracking (SPT) grants unprecedented insight into cellular function at the molecular scale [1]. Throughout the cell, the movement of single-molecules is generally he…
Bayesian Decision Tree for the Classification of the Mode of Motion in Single-Molecule Trajectories
Silvan Türkcan, Jean-Baptiste Masson
Membrane proteins move in heterogeneous environments with spatially (sometimes temporally) varying friction and with biochemical interactions with various partners. It is important…
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…
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…
Inferring maps of forces inside cell membrane microdomains
J. -B. Masson, D. Casanova, S. Tuerkcan +4
Mapping of the forces on biomolecules in cell membranes has spurred the development of effective labels, e.g. organic fluorophores and nanoparticles, to track trajectories of singl…