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

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

273
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
273
Blood Flow01:29

Blood Flow

75.3K
Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
75.3K
Typical Model Studies01:30

Typical Model Studies

554
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
554
Autoregulation of Blood Flow01:17

Autoregulation of Blood Flow

7.3K
Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation....
7.3K

You might also read

Related Articles

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

Sort by
Same author

Dead-Space Microdomains as Explicit Barriers to Extracellular Drug Transport in Alzheimer's Disease.

Pharmaceutical research·2026
Same author

The Society of Thoracic Surgeons/World Society for Pediatric and Congenital Heart Surgery/European Congenital Heart Surgeons Association 2026 Clinical Practice Guidelines on Indications and Timing of Pulmonary Valve Replacement in Repaired Tetralogy of Fallot.

The Annals of thoracic surgery·2026
Same author

Towards Precise Modelling of Diffusion Across the Blood-Brain Barrier.

Advances in experimental medicine and biology·2025
Same author

Early outcomes of children with univentricular circulation undergoing Fontan surgery: the EuroFontan registry.

European heart journal·2025
Same author

The European Congenital Heart Surgeons Association congenital cardiac database: A 25-year summary of congenital heart surgery outcomes†.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery·2025
Same author

Mathematical Study of the Perturbation of Magnetic Fields Caused by Erythrocytes.

Advances in experimental medicine and biology·2023
Same journal

Peptidomics in the Spotlight: Advanced Sample Treatment Techniques and Analytical Insights.

Advances in experimental medicine and biology·2026
Same journal

Methods for the Investigation of Protein-Ligands Interactions.

Advances in experimental medicine and biology·2026
Same journal

Sample Preparation Strategies for Microbial Cell Surface Proteomics: Integrating Shaving and Shotgun Approaches.

Advances in experimental medicine and biology·2026
Same journal

Proteomic Sample Preparation for the Petroleum Industry: A Biocorrosion Case Study.

Advances in experimental medicine and biology·2026
Same journal

Proteomic and Functional Comparison of Extracellular Vesicles from Wild-Type and Lyn-Deficient Stromal Cells.

Advances in experimental medicine and biology·2026
Same journal

Proteomic Analysis of Histone Sequence Variants and Post-translationally Modified Forms.

Advances in experimental medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Dec 20, 2025

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
07:30

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling

Published on: November 3, 2015

10.0K

A Microscale Mathematical Blood Flow Model for Understanding Cardiovascular Diseases.

Maria Hadjinicolaou1, Eleftherios Protopapas2

  • 1Applied Mathematics Laboratory, School of Science and Technology, Hellenic Open University, Patras, Greece. hadjinicolaou@eap.gr.

Advances in Experimental Medicine and Biology
|May 30, 2020
PubMed
Summary
This summary is machine-generated.

This study models blood plasma flow through red blood cells in capillaries using a Stokes flow model. The research provides an analytical solution for fluid dynamics within these microcirculatory systems.

Keywords:
Blood plasmaCardiovascularInverted prolateMathematical modelParticle in cellRed blood cellStokes flowStream function

More Related Videos

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies
08:49

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies

Published on: May 23, 2025

585
Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.9K

Related Experiment Videos

Last Updated: Dec 20, 2025

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
07:30

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling

Published on: November 3, 2015

10.0K
Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies
08:49

Rapid Whole-Mount High-Resolution Imaging of Small Animal Vasculature for Quantitative Studies

Published on: May 23, 2025

585
Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.9K

Area of Science:

  • Fluid Dynamics
  • Biomedical Engineering
  • Microcirculation

Background:

  • Capillary blood flow involves complex interactions between plasma and red blood cells.
  • Modeling these microfluidic systems is crucial for understanding physiological and pathological conditions.

Purpose of the Study:

  • To develop an analytical model for blood plasma flow through a swarm of red blood cells in capillaries.
  • To obtain analytical expansions for flow velocity components using a stream function approach.

Main Methods:

  • Modeled flow as axisymmetric Stokes flow within inverted prolate spheroidal solid-fluid unitary cells.
  • Introduced a stream function satisfying the biharmonic equation (E⁴ψ = 0).
  • Employed Kelvin inversion to transform the problem into prolate spheroidal coordinates for solution.

Main Results:

  • Derived analytical expansions for velocity components based on the stream function.
  • The solution was obtained via inverse Kelvin transformation, accounting for the Stokes operator's behavior.
  • The final analytical solution for the stream function is presented as an R-separable series expansion.

Conclusions:

  • Successfully modeled blood plasma flow in a red blood cell swarm using a novel analytical approach.
  • The method provides a detailed understanding of fluid dynamics at the microcirculatory level.
  • The derived analytical solution offers a valuable tool for further research in hemorheology.