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

Mean free path and Mean free time

Mean free path and Mean free time

Consider the gas molecules in a cylinder. They move in a random motion as they collide with each other and change speed and direction. The average of all the path lengths between collisions is known as the "mean free path."

Noncompartmental Analysis: Statistical Moment Theory

Noncompartmental Analysis: Statistical Moment Theory

Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...

You might also read

Related Articles

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

Sort by

Same author

Direct visualization of native GSDMD pores reveals lipid-driven stabilization during pyroptosis.

Science advances·2026

Same author

ILK binding to β1 integrin is indirect and mediated by kindlin-2.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Macroscopic fluctuation theory of interacting Brownian particles.

Physical review. E·2026

Same author

Nuclear proteome reveals microtubule-associated protein regulating fate and disease.

Cell·2026

Same author

Methacrylated gelatin-based conductive self-healing hydrogels: a dual-scale approach for micro- and macro-sized soft materials.

RSC applied polymers·2026

Same author

Multiomics analysis identifies VPA-induced changes in neural progenitor cells, ventricular-like regions, and cellular microenvironment in dorsal forebrain organoids.

Molecular psychiatry·2026

Search research articles

Related Experiment Video

Updated: Jun 14, 2026

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Quantitative analysis of single particle trajectories: mean maximal excursion method.

Vincent Tejedor¹, Olivier Bénichou, Raphael Voituriez

¹Physics Department, Technical University of Munich, Garching, Germany.

Biophysical Journal

|April 8, 2010

Summary

This summary is machine-generated.

We introduce new methods using mean maximal excursions (MME) to analyze particle tracking data for subdiffusion. MME analysis improves the determination of anomalous diffusion exponents compared to traditional methods.

More Related Videos

Quantification of Acanthamoeba spp. Motility

Quantification of Acanthamoeba spp. Motility

Published on: September 20, 2024

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

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

Published on: February 18, 2022

Related Experiment Videos

Last Updated: Jun 14, 2026

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Quantification of Acanthamoeba spp. Motility

Quantification of Acanthamoeba spp. Motility

Published on: September 20, 2024

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

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

Published on: February 18, 2022

Area of Science:

Physics
Physical Chemistry
Biophysics

Background:

Single particle tracking (SPT) is crucial for understanding complex systems.
Analyzing SPT data, especially for subdiffusion, presents analytical challenges.

Purpose of the Study:

To propose novel methods for analyzing time series data from particle tracking experiments.
To enhance the characterization of subdiffusion phenomena.

Main Methods:

Analysis of statistical properties of mean maximal excursions (MMEs).
Comparison of MME analysis with traditional mean-squared displacement (MSD) methods.
Combination of regular moments with MME moments for process identification.

Main Results:

MME analysis demonstrates superior performance in determining the anomalous diffusion exponent.
The combined MME and regular moment approach provides additional criteria for identifying stochastic subdiffusion processes.
Validated methods using experimental data and simulations of various diffusion models.

Conclusions:

MME analysis offers a more robust approach for characterizing subdiffusion in complex systems.
The proposed methods enhance the ability to distinguish between different physical models of anomalous diffusion.