Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
Diffusion on Chromatography Columns01:07

Diffusion on Chromatography Columns

In column chromatography, when an analyte is introduced as a narrow band at the top of the column, the solutes begin to separate and broaden, developing a Gaussian profile. This broadening occurs due to various factors, such as longitudinal diffusion.
Longitudinal diffusion occurs when the solute molecules in the mobile phase diffuse from the more concentrated center of the chromatographic band to the more dilute regions on either side, both towards and against the flow direction. This...
Protein Dynamics in Living Cells01:19

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

AlliGator: Open source fluorescence lifetime imaging analysis in G.

SoftwareX·2026
Same author

Real-time wide-field fluorescence lifetime imaging via single-snapshot acquisition for biomedical applications.

PhotoniX·2025
Same author

Acute Epstein-Barr Virus-Related Myopericarditis in an Immunocompetent Young Adult.

Cureus·2025
Same author

Toward measurements of absolute membrane potential in Bacillus subtilis using fluorescence lifetime.

Biophysical reports·2025
Same author

Deep learning-based temporal deconvolution for photon time-of-flight distribution retrieval.

Optics letters·2024
Same author

Towards measurements of absolute membrane potential in Bacillus subtilis using fluorescence lifetime.

bioRxiv : the preprint server for biology·2024
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: May 18, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

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

Published on: September 5, 2019

Optimal diffusion coefficient estimation in single-particle tracking.

Xavier Michalet1, Andrew J Berglund

  • 1Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, California 90095, USA. michalet@chem.ucla.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

Analyzing single-particle tracking data reveals fundamental limitations from trajectory length, localization error, and motion blur. Two algorithms approach the theoretical limit for diffusion coefficient uncertainty in Brownian motion.

More Related Videos

A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA
12:05

A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA

Published on: October 1, 2017

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics
13:30

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Published on: February 18, 2022

Related Experiment Videos

Last Updated: May 18, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

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

Published on: September 5, 2019

A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA
12:05

A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA

Published on: October 1, 2017

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics
13:30

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Published on: February 18, 2022

Area of Science:

  • Biophysics
  • Physical Chemistry
  • Materials Science

Background:

  • Single-particle tracking (SPT) is a powerful technique for quantitative analysis of molecular behavior.
  • Advances in SPT resolution drive the development of sophisticated analytical methods for trajectory analysis.
  • Understanding limitations in SPT data analysis is crucial for accurate interpretation of molecular dynamics.

Purpose of the Study:

  • To identify fundamental limitations in single-particle tracking data analysis.
  • To evaluate the performance of analytical algorithms for extracting diffusion coefficients.
  • To discuss the implications of these limitations for interpreting single-particle tracking experiments.

Main Methods:

  • Focus on free diffusion in an isotropic medium (Brownian motion) as the simplest motion regime.
  • Analysis of limitations arising from finite trajectory length, localization error, and motion blur.
  • Evaluation of two recently proposed algorithms for estimating diffusion coefficients.

Main Results:

  • Fundamental limitations in SPT data analysis are identified, impacting parameter extraction.
  • Two advanced algorithms demonstrate near-optimal performance in estimating diffusion coefficients.
  • The study quantifies the proximity of these algorithms to the theoretical limit of diffusion coefficient uncertainty.

Conclusions:

  • Finite trajectory length, localization error, and motion blur impose fundamental constraints on SPT analysis.
  • The evaluated algorithms represent significant progress towards overcoming these limitations in Brownian motion analysis.
  • These findings have important implications for experimental design and data interpretation in single-particle tracking studies.