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

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

771
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
771
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

6.0K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
6.0K

You might also read

Related Articles

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

Sort by
Same author

Numerical study of reflection-based energy density enhancement in turbid media via wavefront shaping.

Biomedical optics express·2026
Same author

Optical characterization of turbid media in a cuvette geometry with a calibrated lookup table.

Applied optics·2026
Same author

Functional dual-slope frequency-domain near-infrared spectroscopy data interpreted with two- and three-layer models.

Biophotonics discovery·2026
Same author

Noninvasive measurements of skeletal muscle hemodynamics using frequency-domain near-infrared spectroscopy: contributions from adipose and bone tissues.

Biophotonics discovery·2026
Same author

Validation of a Spatially Resolved Reflectance Imaging System for Recovery of <i>µ<sub>a</sub></i> and <i>µ<sub>s</sub></i>' in Absorbing Turbid Media.

Sensors (Basel, Switzerland)·2026
Same author

Determination of Finger Optical Properties Using an Integrating Sphere.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Sep 26, 2025

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

3.4K

Two-step verification method for Monte Carlo codes in biomedical optics applications.

Angelo Sassaroli1, Federico Tommasi2, Stefano Cavalieri2

  • 1Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.

Journal of Biomedical Optics
|April 21, 2022
PubMed
Summary
This summary is machine-generated.

A new two-step verification method using analytical benchmarks ensures Monte Carlo (MC) code accuracy in biomedical optics. This simple procedure validates photon trajectory generation and boundary interactions, crucial for reliable MC simulations.

Keywords:
Monte Carlo methodanalytical benchmarksbiomedical opticsforward solversradiative transfer equationverification procedure

More Related Videos

Two-photon Calcium Imaging in Mice Navigating a Virtual Reality Environment
08:12

Two-photon Calcium Imaging in Mice Navigating a Virtual Reality Environment

Published on: February 20, 2014

31.5K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.2K

Related Experiment Videos

Last Updated: Sep 26, 2025

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

3.4K
Two-photon Calcium Imaging in Mice Navigating a Virtual Reality Environment
08:12

Two-photon Calcium Imaging in Mice Navigating a Virtual Reality Environment

Published on: February 20, 2014

31.5K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.2K

Area of Science:

  • Biomedical Optics
  • Computational Physics
  • Scientific Computing

Background:

  • Monte Carlo (MC) codes are essential tools in biomedical optics for simulating light transport.
  • A standardized and widely adopted verification procedure for MC codes in this field is currently lacking.
  • Analytical benchmarks are valuable resources for validating the accuracy of MC simulation routines.

Purpose of the Study:

  • To introduce a novel two-step verification procedure for Monte Carlo (MC) codes used in biomedical optics.
  • To validate the two primary functions of MC simulators: photon trajectory generation and boundary interaction calculations.
  • To enable reliable assessment of MC code correctness using elementary analytical benchmarks and statistical tests.

Main Methods:

  • The proposed method employs two distinct analytical benchmarks for verification.
  • Benchmark 1: Utilizes exact analytical formulas for statistical moments of scattering event coordinates in infinite media.
  • Benchmark 2: Employs exact invariant solutions of the radiative transfer equation for radiance, fluence rate, and mean path length in a slab.

Main Results:

  • Extensive comparisons were conducted between MC simulation results and the analytical benchmarks across diverse optical properties and media.
  • Deviations between MC results and analytical values were consistently within two standard errors, indicating high accuracy (p > 0.05).
  • The accuracy of the MC code verification improves with an increased number of simulated trajectories, allowing for arbitrary precision.

Conclusions:

  • The proposed two-step verification method provides a simple yet effective means to assess MC code accuracy.
  • The method successfully validates both photon trajectory generation and boundary interaction calculations.
  • This straightforward verification procedure is expected to be widely adopted within the biomedical optics community.