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 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...
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...

You might also read

Related Articles

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

Sort by
Same author

Bayesian Inference of Species Trees using Diffusion Models.

Systematic biology·2020
Same author

Space-time duality and high-order fractional diffusion.

Physical review. E·2019
Same author

Anisotropic fractional diffusion tensor imaging.

Journal of vibration and control : JVC·2016
Same author

STOCHASTIC SOLUTIONS FOR FRACTIONAL WAVE EQUATIONS.

Nonlinear dynamics·2015
Same author

TEMPERED FRACTIONAL CALCULUS.

Journal of computational physics·2015
Same author

Attenuated Fractional Wave Equations With Anisotropy.

Journal of vibration and acoustics·2014
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: Jun 29, 2026

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Particle tracking for time-fractional diffusion.

Yong Zhang1, Mark M Meerschaert, Boris Baeumer

  • 1Desert Research Institute, Las Vegas, Nevada 89119, USA. yong.zhang@dri.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2008
PubMed
Summary
This summary is machine-generated.

A new particle tracking code solves time-fractional diffusion equations, offering an efficient Lagrangian method for complex simulations. This approach is vital for problems with variable parameters and multiscaling dynamics.

More Related Videos

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

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

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: Jun 29, 2026

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

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

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

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:

  • Computational physics
  • Applied mathematics
  • Physical chemistry

Background:

  • Fractional diffusion equations (FDEs) model anomalous diffusion processes.
  • Traditional methods struggle with complex FDEs involving variable parameters.
  • Particle tracking offers a flexible alternative for simulating complex dynamics.

Purpose of the Study:

  • Develop a particle tracking code for general time-fractional diffusion equations.
  • Demonstrate the efficiency and flexibility of a Lagrangian particle tracking approach.
  • Provide a viable solution for vector FDEs with multiscaling properties.

Main Methods:

  • Implemented a particle tracking code based on a Langevin approach.
  • Simulated various scenarios involving time-fractional diffusion.
  • Validated the code's performance for efficiency and flexibility.

Main Results:

  • The developed code effectively solves general time-fractional diffusion equations.
  • Extensive simulations confirmed the efficiency and flexibility of the Langevin-based particle tracking.
  • The method proves capable of handling vector FDEs with variable parameters and multiscaling rates.

Conclusions:

  • Particle tracking provides a robust and viable solution for complex fractional diffusion problems.
  • The developed code is a valuable tool for simulating multiscaling phenomena.
  • This Lagrangian framework is essential for tackling real-world problems described by vector FDEs.