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

Diffusion01:12

Diffusion

223.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
223.0K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

6.0K
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...
6.0K
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.8K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Understanding the role of international flight networks in disease spread: spatial epidemic prevention zones and hierarchical disease control policies.

International journal of health geographics·2026
Same author

Modeling how penalty sequences influence decisive scoring in elite judo.

Scientific reports·2026
Same author

Laboratory Evaluation of ARMIE, a Portable SPS30-Based Low-Cost Sensor Node for PM<sub>2.5</sub> Monitoring.

Sensors (Basel, Switzerland)·2026
Same author

Examining the role of social environment on COVID-19 infections and vaccine uptake among migrants in Japan: Findings from nationwide surveys in 2021 and 2023.

Journal of migration and health·2025
Same author

Examining relationships between the Danish Composite Deprivation Index and risk of developing schizophrenia: A national multilevel analysis.

Schizophrenia research·2025
Same author

An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk.

International journal of health geographics·2025

Related Experiment Video

Updated: Feb 21, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

27.1K

A geo-computational algorithm for exploring the structure of diffusion progression in time and space.

Wei-Chien-Benny Chin1, Tzai-Hung Wen2, Clive E Sabel3

  • 1Department of Geography, National Taiwan University, Taipei City, 10617, Taiwan.

Scientific Reports
|October 5, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces the TrAcking Progression In Time And Space (TaPiTaS) algorithm to analyze diffusion processes. TaPiTaS uses temporal lag and spatial distance to track event progression chains, offering deeper insights into geographic diffusion.

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

8.8K
Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
11:34

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

Published on: September 8, 2016

10.8K

Related Experiment Videos

Last Updated: Feb 21, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

27.1K
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

8.8K
Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
11:34

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

Published on: September 8, 2016

10.8K

Area of Science:

  • Epidemiology
  • Spatial analysis
  • Data science

Background:

  • Diffusion processes involve event movement through space and time.
  • Existing clustering methods overlook temporal lag, a crucial factor in diffusion.
  • Understanding temporal dynamics is key to identifying diffusion patterns.

Purpose of the Study:

  • To develop a novel data exploration algorithm, TaPiTaS, for analyzing diffusion processes.
  • To incorporate temporal lag alongside spatial proximity in diffusion analysis.
  • To enhance the understanding of event progression and common sources.

Main Methods:

  • The TrAcking Progression In Time And Space (TaPiTaS) algorithm was developed.
  • It analyzes spatial distance and temporal intervals between events.
  • TaPiTaS detects sub-clusters, progression links, and progression chains.

Main Results:

  • The TaPiTaS algorithm successfully identified sub-clusters and progression links in Dengue Fever data.
  • It provides detailed geographic diffusion pathways.
  • The study visualizes sub-cluster locations, temporal ranges, and progression links.

Conclusions:

  • The TaPiTaS algorithm offers a more in-depth understanding of diffusion processes.
  • Incorporating temporal lag improves the analysis of event relationships and movement.
  • This method enhances the study of geographic diffusion patterns.