ArticleBiophysical journal2012
Bayesian approach to MSD-based analysis of particle motion in live cells.
Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 139 citations in OpenAlex.
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- Genome-wide analysis of the biophysical properties of chromatin and nuclear proteins in living cells with Hi-D.Nature protocols · 2025Review
- Tracing the Chromatin: From 3C to Live-Cell Imaging.Chemical & biomedical imaging · 2024Review
- Computational drug development for membrane protein targets.Nature biotechnology · 2024Review
- Coordinated peptidoglycan synthases and hydrolases stabilize the bacterial cell wall.Nature communications · 2023Article
- Single-molecule tracking to determine the abundances and stoichiometries of freely-diffusing protein complexes in living cells: Past applications and future prospects.The Journal of chemical physics · 2023Review
- 3D Tortuosity and Diffusion Characterization in the Human Mineralized Collagen Fibril Using a Random Walk Model.Bioengineering (Basel, Switzerland) · 2023Article
- Palmitate-mediated disruption of the endoplasmic reticulum decreases intracellular vesicle motility.Biophysical journal · 2023Article
- Transport of lysosomes decreases in the perinuclear region: Insights from changepoint analysis.Biophysical journal · 2022Article
- Fluorescent nanodiamonds encapsulated byJournal of materials chemistry. B · 2021Article
- Detection of Anomalous Diffusion with Deep Residual Networks.Entropy (Basel, Switzerland) · 2021Article
- Bayesian Inference: The Comprehensive Approach to Analyzing Single-Molecule Experiments.Annual review of biophysics · 2021Review
- Multi-curvature micropatterns unveil distinct calcium and mitochondrial dynamics in neuronal networks.Lab on a chip · 2021Article
- Fundamentals of the logarithmic measure for revealing multimodal diffusion.Biophysical journal · 2021Article
- Article
- An Estimation Algorithm for General Linear Single Particle Tracking Models with Time-Varying Parameters.Molecules (Basel, Switzerland) · 2021Article
- Model Segmentation in Single Particle Tracking.IFAC-PapersOnLine · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative tracking of particle motion using live-cell imaging is a powerful approach to understanding the mechanism of transport of biological molecules, organelles, and cells. However, inferring complex stochastic motion models from single-particle trajectories in an objective manner is nontrivial due to noise from sampling limitations and biological heterogeneity. Here, we present a systematic Bayesian approach to multiple-hypothesis testing of a general set of competing motion models based on particle mean-square displacements that automatically classifies particle motion, properly accounting for sampling limitations and correlated noise while appropriately penalizing model complexity according to Occam's Razor to avoid over-fitting. We test the procedure rigorously using simulated trajectories for which the underlying physical process is known, demonstrating that it chooses the simplest physical model that explains the observed data. Further, we show that computed model probabilities provide a reliability test for the downstream biological interpretation of associated parameter values. We subsequently illustrate the broad utility of the approach by applying it to disparate biological systems including experimental particle trajectories from chromosomes, kinetochores, and membrane receptors undergoing a variety of complex motions. This automated and objective Bayesian framework easily scales to large numbers of particle trajectories, making it ideal for classifying the complex motion of large numbers of single molecules and cells from high-throughput screens, as well as single-cell-, tissue-, and organism-level studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.