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

Mean free path and Mean free time01:22

Mean free path and Mean free time

5.1K
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."
5.1K
Cell Migration01:19

Cell Migration

6.6K
Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
6.6K
Cell Migration01:09

Cell Migration

18.8K
Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
18.8K
Path Between Thermodynamics States01:21

Path Between Thermodynamics States

4.0K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
4.0K
The Extracellular Matrix01:42

The Extracellular Matrix

89.0K
Overview
89.0K
Interference: Path Lengths01:10

Interference: Path Lengths

2.2K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.2K

You might also read

Related Articles

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

Sort by
Same author

CarD-T: an automated pipeline for the nomination and analysis of potential human carcinogens.

Carcinogenesis·2025
Same author

Interactions between Ploidy and Resource Availability Shape Clonal Evolution in Glioblastoma.

Cancer research·2025
Same author

The force has limits: Molecular motors in robotics.

Science robotics·2024
Same author

CarD-T: Interpreting Carcinomic Lexicon via Transformers.

medRxiv : the preprint server for health sciences·2024
Same author

Kinesin and myosin motors compete to drive rich multiphase dynamics in programmable cytoskeletal composites.

PNAS nexus·2023
Same author

Differences in cell death and division rules can alter tissue rigidity and fluidization.

Soft matter·2022

Related Experiment Video

Updated: Feb 2, 2026

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

9.0K

A stochastic algorithm for accurately predicting path persistence of cells migrating in 3D matrix environments.

Benjamin Michael Yeoman1,2, Parag Katira1,3

  • 1Mechanical Engineering Department, San Diego State University, San Diego, CA, United States of America.

Plos One
|November 16, 2018
PubMed
Summary

We developed a fast computational algorithm to simulate long-term 3D cell migration. This tool predicts how cell and matrix properties influence cell movement persistence and displacement.

More Related Videos

Electric Field-controlled Directed Migration of Neural Progenitor Cells in 2D and 3D Environments
11:15

Electric Field-controlled Directed Migration of Neural Progenitor Cells in 2D and 3D Environments

Published on: February 16, 2012

12.2K
Analysis of Cell Migration within a Three-dimensional Collagen Matrix
08:02

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Published on: October 5, 2014

24.3K

Related Experiment Videos

Last Updated: Feb 2, 2026

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

9.0K
Electric Field-controlled Directed Migration of Neural Progenitor Cells in 2D and 3D Environments
11:15

Electric Field-controlled Directed Migration of Neural Progenitor Cells in 2D and 3D Environments

Published on: February 16, 2012

12.2K
Analysis of Cell Migration within a Three-dimensional Collagen Matrix
08:02

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Published on: October 5, 2014

24.3K

Area of Science:

  • Biophysics
  • Computational Biology
  • Cell Biology

Background:

  • Cell mobility is crucial for immune response, wound healing, and cancer metastasis.
  • Predicting cell migration in 3D matrix environments requires understanding both velocity and path persistence.
  • Existing computational models struggle with predicting long-term cell path persistence due to high computational cost.

Purpose of the Study:

  • To develop a computationally efficient algorithm for simulating and analyzing long-term 3D cell migration.
  • To enable prediction of cell migration behavior as a function of various cellular and extracellular matrix properties.
  • To investigate the impact of specific factors on cell path persistence and displacement over extended periods.

Main Methods:

  • A novel stochastic algorithm was developed to simulate 3D cell migration over extended durations (days) with significantly reduced computation time (minutes).
  • The algorithm generates matrix elements stochastically as needed, based on the biophysical and biochemical properties of the extracellular matrix (ECM).
  • This approach optimizes computational resource usage for tracking cell-matrix interactions.

Main Results:

  • The algorithm successfully simulates long-term 3D cell migration, reducing computational time from days to minutes.
  • It allows for the prediction of cell path persistence and mean squared displacement based on adjustable cell and matrix properties.
  • The study quantifies the effects of cell polarity, mechanoactivity, matrix fiber density, stiffness, alignment, and binding site density on cell migration persistence.

Conclusions:

  • The developed stochastic algorithm offers a computationally efficient method for studying long-term 3D cell migration.
  • This tool facilitates the prediction of how diverse cellular and microenvironmental factors influence cell migration dynamics.
  • It opens new avenues for research into cell motility in biological processes and disease progression.