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

Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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

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...
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the concentration...
X-ray Crystallography02:18

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...

You might also read

Related Articles

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

Sort by
Same author

A Multilabel Single Molecule Localization Microscopy Protocol for Investigation of Chromatin in the Dense Nuclear Environment.

Journal of visualized experiments : JoVE·2026
Same author

Publisher Correction: Perioperative Treatment Patterns for Muscle-Invasive Bladder Cancer Patients Undergoing Radical Cystectomy in the Adjuvant Immunotherapy Era: A Retrospective Analysis of US Community Oncology Practice.

Oncology and therapy·2026
Same author

Perioperative Treatment Patterns for Muscle-Invasive Bladder Cancer Patients Undergoing Radical Cystectomy in the Adjuvant Immunotherapy Era: A Retrospective Analysis of US Community Oncology Practice.

Oncology and therapy·2026
Same author

Short and Long-Term Outcomes in Kidney Transplant Recipients with Neutropenia or Leukopenia Following CMV Prophylaxis.

Journal of health economics and outcomes research·2026
Same author

One chromatin, many structures: From ensemble contact maps to single-cell 3D organization.

Biophysical journal·2026
Same author

Gene transcription and chromatin packing domains form a self- organizing system.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jun 5, 2026

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

A predictive model of backscattering at subdiffusion length scales.

Vladimir Turzhitsky, Andrew Radosevich, Jeremy D Rogers

    Biomedical Optics Express
    |January 25, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for predicting elastic backscattering in random media using two empirical models. The approach accurately models scattering over various scales, showing less than 1% error for subdiffusion length scales.

    More Related Videos

    In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
    06:49

    In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

    Published on: March 2, 2021

    The Diffusion of Passive Tracers in Laminar Shear Flow
    08:01

    The Diffusion of Passive Tracers in Laminar Shear Flow

    Published on: May 1, 2018

    Related Experiment Videos

    Last Updated: Jun 5, 2026

    Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
    09:16

    Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

    Published on: January 9, 2017

    In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
    06:49

    In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

    Published on: March 2, 2021

    The Diffusion of Passive Tracers in Laminar Shear Flow
    08:01

    The Diffusion of Passive Tracers in Laminar Shear Flow

    Published on: May 1, 2018

    Area of Science:

    • Physics
    • Optical Science
    • Biomedical Optics

    Background:

    • Accurate prediction of elastic backscattering is crucial for understanding light propagation in random media.
    • Existing models often struggle with accuracy at length scales smaller than the transport mean free path.
    • Random media, such as biological tissues, exhibit complex scattering properties.

    Purpose of the Study:

    • To develop and validate a methodology for accurately predicting elastic backscattering radial distributions.
    • To apply empirical models to scattering phase functions, including the Henyey-Greenstein and a generalized two-parameter function derived from the Whittle-Matérn correlation function.
    • To assess the model's performance across various length scales and for tissue-relevant optical properties.

    Main Methods:

    • Development of two simple empirical models for predicting elastic backscattering.
    • Application of models to Henyey-Greenstein and a generalized two-parameter phase function.
    • Validation against known scattering properties and analysis of prediction accuracy.

    Main Results:

    • The proposed methodology demonstrates excellent agreement over all length scales.
    • Prediction error for backscattering at subdiffusion length scales is less than 1% for tissue-relevant optical properties.
    • The model provides accurate predictions even at length scales significantly smaller than the transport mean free path.

    Conclusions:

    • The presented methodology offers a robust approach for predicting elastic backscattering in random media.
    • This model is the first to accurately predict backscattering at sub-transport mean free path length scales.
    • The findings have significant implications for applications requiring precise modeling of light scattering, particularly in biomedical optics.