423 citations · 532 across the 5 of their papers we have counts for
5 papers
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…
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…
Hyperspectral fluorescence microscopy based on Compressive Sampling
Makhlad Chahid, Jerome Bobin, Hamed Shams Mousavi +3
The mathematical theory of compressed sensing (CS) asserts that one can acquire signals from measurements whose rate is much lower than the total bandwidth. Whereas the CS theory i…
Compressive Fluorescence Microscopy for Biological and Hyperspectral Imaging
Vincent Studer, Jerome Bobin, Makhlad Chahid +3
The mathematical theory of compressed sensing (CS) asserts that one can acquire signals from measurements whose rate is much lower than the total bandwidth. Whereas the CS theory i…