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Related Concept Videos

Tissues01:18

Tissues

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Cells with similar structure and function are grouped into tissues. A group of tissues with a specialized function is called an organ. There are four main types of tissue in vertebrates: epithelial, connective, muscle, and nervous.
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Compartment Models: Two-Compartment Model01:20

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The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
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Connective Tissue Cell Types01:22

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Connective tissue develops from the mesoderm of a developing embryo and consists of cells, fibers, and ground substance: a gel-like material containing large complexes of carbohydrates and proteins. Connective tissue was first identified as a separate tissue family in the 18th century, and Johannes Peter Muller coined the term connective tissue.
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Three-Compartment Open Model01:06

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Dense Connective Tissue01:13

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Dense connective tissue contains more collagen fibers than loose connective tissue. As a consequence, it displays greater resistance to stretching. There are two major categories of dense connective tissue— regular and irregular.
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Classification of Epithelial Tissues: Overview01:22

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Epithelial tissues are classified according to the shape of the cells and the number of cell layers formed. Cell shapes can be squamous (flattened and thin), cuboidal (square-like, as wide as it is tall), or columnar (rectangular, taller than it is wide). Additionally, the nucleus shape helps identify the type of epithelial cells. Squamous cells have flattened disc-shaped nuclei, cuboidal cells have spherical nuclei, and columnar cells have elongated nuclei.
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Updated: Sep 9, 2025

Finite Element Modelling of a Cellular Electric Microenvironment
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A continuum model for tissues with moderate cell density.

Yashar Ebadi1, Elizabeth D Shih2, Victor H Barocas2

  • 1Department of Mechanical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.

Computers in Biology and Medicine
|August 31, 2025
PubMed
Summary
This summary is machine-generated.

A new hybrid model accurately predicts cell stress in tissues across varying densities. This advances understanding of mechanotransduction in conditions like cerebral aneurysms.

Keywords:
Cerebral aneurysmConstrained mixture modelEshelby solutionFEMGrowth and remodelingRule of mixtureVascular smooth muscle cell

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Area of Science:

  • Biomedical Engineering
  • Cellular Mechanics
  • Tissue Engineering

Background:

  • Cells respond to mechanical forces through mechanotransduction, crucial for tissue development.
  • Existing models struggle to accurately predict cellular stress in tissues with medium cell densities.

Purpose of the Study:

  • To develop and validate a novel model for predicting cellular stress in tissues with intermediate cell densities.
  • To investigate the influence of cell shape, density, and material properties on tissue stress.

Main Methods:

  • Finite Element Modeling (FEM) was used to simulate tissue samples with varying cell shapes (spherical, ellipsoidal, cylindrical), volume fractions, and stiffness ratios.
  • Representative Volume Elements (RVEs) were employed to model tissue mechanics under uniaxial stretching.
  • A hybrid model combining Rule of Mixtures (ROM) and Eshelby's inclusion model was developed and validated against FEM results.

Main Results:

  • The Rule of Mixtures (ROM) model showed inaccuracies at low cell densities, while Eshelby's model faltered at higher densities.
  • The proposed hybrid model demonstrated superior accuracy in predicting cellular stress across a wide range of cell densities compared to FEM.
  • The hybrid model effectively captured stress in tissues with complex nonlinear material properties.

Conclusions:

  • The developed hybrid model offers a more accurate and versatile approach to modeling cellular stress in tissues with intermediate cell densities.
  • This work enhances the understanding of mechanotransduction in various physiological and pathological conditions, including cerebral aneurysms.
  • The model provides a valuable tool for studying tissue mechanics and guiding therapeutic strategies.