ArticleBiophysical journal2010
Quantifying biomolecule diffusivity using an optimal Bayesian method.
Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Mapping Nanoscale Forces and Potentials in Live Cells with Microsecond 3D Single-Particle Tracking.Chemical & biomedical imaging · 2026Article
- A Bayesian approach to estimate the diffusion coefficient of Rhodamine 6G in breast cancer spheroids.Journal of controlled release : official journal of the Controlled Release Society · 2021Article
- An extended model of vesicle fusion at the plasma membrane to estimate protein lateral diffusion from TIRF microscopy images.BMC bioinformatics · 2017Article
- A Primer on the Bayesian Approach to High-Density Single-Molecule Trajectories Analysis.Biophysical journal · 2016Review
- Article
- Quantifying transient 3D dynamical phenomena of single mRNA particles in live yeast cell measurements.The journal of physical chemistry. B · 2013Article
- Bayesian decision tree for the classification of the mode of motion in single-molecule trajectories.PloS one · 2013Article
- Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.PloS one · 2013Article
- Bayesian approach to MSD-based analysis of particle motion in live cells.Biophysical journal · 2012Article
- Observing the confinement potential of bacterial pore-forming toxin receptors inside rafts with nonblinking Eu(3+)-doped oxide nanoparticles.Biophysical journal · 2012Article
- A Bayesian inference scheme to extract diffusivity and potential fields from confined single-molecule trajectories.Biophysical journal · 2012Article
- Analysis of molecular diffusion by first-passage time variance identifies the size of confinement zones.Biophysical journal · 2011Article
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Authors and funding
3 authors.
Funding
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Abstract
We propose a Bayesian method to extract the diffusivity of biomolecules evolving freely or inside membrane microdomains. This approach assumes a model of motion for the particle considered, namely free Brownian motion or confined diffusion. In each framework, a systematic Bayesian scheme is provided for estimating the diffusivity. We show that this method reaches the best performances theoretically achievable. Its efficiency overcomes that of widely used methods based on the analysis of the mean-square displacement. The approach presented here also gives direct access to the uncertainty on the estimation of the diffusivity and predicts the number of steps of the trajectory necessary to achieve any desired precision. Its robustness with respect to noise on the position of the biomolecule is also investigated.
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