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

You might also read

Related Articles

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

Sort by
Same author

Immunosuppressive therapies adversely affect blood biochemical parameters in patients with inflammatory bowel disease: a meta-analysis.

The Journal of international medical research·2019
Same author

Facile synthesis of Ag-CuO/SBA-15 for aerobic epoxidation of olefins with high activity.

Nanotechnology·2019
Same author

Reinforcement of Polylactic Acid for Fused Deposition Modeling Process with Nano Particles Treated Bamboo Powder.

Polymers·2019
Same author

Comparison of deep learning and human observer performance for detection and characterization of simulated lesions.

Journal of medical imaging (Bellingham, Wash.)·2019
Same author

Bending Flexibility of Moso Bamboo (<i>Phyllostachys Edulis</i>) with Functionally Graded Structure.

Materials (Basel, Switzerland)·2019
Same author

CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).

IEEE transactions on medical imaging·2019

Related Experiment Video

Updated: Jul 17, 2026

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
10:35

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

Numerical study on the validity of the diffusion approximation for computational optical biopsy.

Haiou Shen1, WenXiang Cong, Xin Qian

  • 1Department of Radiology, University of Iowa, Iowa City, Iowa 52242, USA. haiou-shen@uiowa.edu

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|January 9, 2007
PubMed
Summary

Computational optical biopsy uses diffusion approximation for photon propagation modeling. Results show diffusion approximation is accurate near bioluminescent sources if scattering dominates absorption, validating its use in optical sensing.

More Related Videos

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching
07:00

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Published on: February 26, 2010

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Related Experiment Videos

Last Updated: Jul 17, 2026

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
10:35

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching
07:00

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Published on: February 26, 2010

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Area of Science:

  • Biomedical Optics
  • Computational Imaging
  • Molecular Sensing Technologies

Background:

  • Developing computational optical biopsy for molecular sensing.
  • Concern regarding diffusion approximation accuracy near bioluminescent sources.

Purpose of the Study:

  • Validate diffusion approximation for photon propagation modeling in optical biopsy.
  • Assess accuracy of diffusion approximation versus radiative transport near light sources.

Main Methods:

  • Derived formulas for photon fluence (point/ball sources) and idealized probe measurements.
  • Numerically compared diffusion approximation with Monte Carlo radiative transport simulations.
  • Investigated cases with point and ball bioluminescent sources.

Main Results:

  • Diffusion approximation is accurate when scattering coefficient (μ's) >> absorption coefficient (μa), even for sensors <1mm from the source.
  • Provided an approximate formula for cut-end fiber probe measurements with ball sources.

Conclusions:

  • Diffusion approximation is reliable for computational optical biopsy under specific optical conditions (μ's >> μa).
  • The derived formulas and simulation results support the use of diffusion models in optical sensing.
  • Validated the applicability of diffusion approximation in close proximity to light sources.