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Related Concept Videos

Diffusion01:12

Diffusion

225.4K
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...
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Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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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...
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Related Experiment Video

Updated: Mar 2, 2026

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

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Simulation of diffusion using a modular cell dynamic simulation system.

Christoph Leberecht1,2, Florian Heinke1,3, Dirk Labudde1

  • 1Faculty of Applied Computer Sciences and Biosciences, University of Applied Sciences Mittweida, Technikumplatz 17, Mittweida, Germany.

In Silico Biology
|May 10, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a scalable simulation foundation for natural systems using cellular automata and recurrence relations. It enables dynamic model manipulation and analysis of phenomena like chemical diffusion.

Keywords:
Cellular automatoncell biologydiffusiongraphsystems biology

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Area of Science:

  • Life Sciences
  • Computational Biology
  • Mathematical Modeling

Background:

  • Life sciences utilize diverse mathematical models for simulating natural processes.
  • Existing models may lack scalability and adjustability for complex systems.

Purpose of the Study:

  • To present a scalable and adjustable simulation foundation for natural systems.
  • To enable dynamic manipulation and analysis of mesoscopic-scale changes.

Main Methods:

  • Utilizes graph-based neighborhood relations and cellular automata principles.
  • Employs recurrence relations for simulating changes over time steps.
  • Defines value rules (ω) for accumulating changes from various phenomena.

Main Results:

  • Demonstrates a flexible model definition allowing in-simulation manipulation.
  • Successfully designed and applied a value rule for chemical diffusion simulation.
  • Analyzed the stability and accuracy of the simulation solutions.

Conclusions:

  • The proposed foundation offers a versatile platform for simulating natural systems.
  • The modular approach with value rules facilitates the creation of complex baseline models.
  • The model shows potential for analyzing diverse physical, chemical, and biological phenomena.