Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The dynamic association between loneliness and social participation among Chinese middle-aged and older adults.

BMC psychology·2026

Same author

Substrate recognition, not sequestration, drives the engagement of an H3K9 methyltransferase in living cells.

bioRxiv : the preprint server for biology·2026

Same author

CircTAF15 (hsa_circ_0043138) promotes NSCLC progression through stabilizing YBX1 to initiate GOT1 transcription.

International journal of biological macromolecules·2026

Same author

Development and external validation of a LASSO-based parsimonious nomogram for predicting BPPV recurrence: a multi-center retrospective cohort study.

Frontiers in neurology·2026

Same author

Single-molecule tracking of RNA-DNA hybrid removal enzymes important for lagging-strand replication.

Biophysical journal·2026

Same author

Exosomal circ_0097112 drives icotinib resistance through activating RAF/MAPK signaling in lung adenocarcinoma.

Cellular signalling·2026

Search research articles

Related Experiment Video

Updated: Sep 25, 2025

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

NOBIAS: Analyzing anomalous diffusion in single-molecule tracks with nonparametric Bayesian inference.

Ziyuan Chen¹, Laurent Geffroy², Julie S Biteen^1,2

¹Department of Biophysics, University of Michigan, Ann Arbor, MI 48109.

Frontiers in Bioinformatics

|May 2, 2022

Summary

NOBIAS, a new framework for single-particle tracking (SPT) analysis, uses Bayesian statistics and deep learning to reveal complex biomolecular dynamics. It accurately analyzes challenging live-cell data, including anomalous diffusion and asymmetric movement, improving our understanding of cellular processes.

Keywords:

Anomalous Diffusion Hidden Markov Model Hierarchical Dirichlet Process Nonparametric Bayesian Statistics Recurrent Neural Network Single-Molecule Tracking

More Related Videos

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

Related Experiment Videos

Last Updated: Sep 25, 2025

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

Area of Science:

Biophysics
Cell Biology
Computational Biology

Background:

Single-particle tracking (SPT) provides high-resolution insights into biomolecular dynamics in living cells.
Analyzing complex SPT data with unknown diffusive states and anomalous diffusion remains a significant challenge.

Purpose of the Study:

To develop a novel analysis framework, NOBIAS (NOnparametric Bayesian Inference for Anomalous Diffusion in Single-Molecule Tracking), for comprehensive SPT data analysis.
To address limitations in current methods, including unknown numbers of diffusive states, mixed populations, asymmetric diffusion, and anomalous diffusion.

Main Methods:

NOBIAS employs nonparametric Bayesian statistics and deep learning approaches.
The framework analyzes complex live-cell SPT data, including asymmetric and anomalous diffusion.
It automatically determines the number of diffusive states without manual supervision.

Main Results:

NOBIAS quantifies dynamics, relative populations, and transition probabilities between diffusive states.
It accurately assesses anomalous diffusion behavior for each identified state.
Validation with simulated data and application to bacterial outer-membrane protein diffusion demonstrate NOBIAS's robustness and efficiency.

Conclusions:

NOBIAS offers a powerful, robust, and computationally efficient solution for analyzing complex SPT datasets.
The framework's ability to handle asymmetry and anomalous diffusion advances the study of biomolecular dynamics in live cells.
NOBIAS improves the interpretation of SPT data across diverse experimental conditions.