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 Experiment Videos

Characterization and imaging of compositional variation in tissues.

D Kumar1, Megha Singh

  • 1IIT-Madras, Madras 600 036, India.

IEEE Transactions on Bio-Medical Engineering
|August 2, 2003
PubMed
Summary

This study measured light scattering in goat tissues, finding distinct optical properties for adipose, heart, and spleen. These differences allow for detecting tissue variations using laser reflectometry and Monte Carlo simulations.

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

Production of prolific microsheep by embryo transfer into large non-prolific sheep.

The Veterinary record·2006
Same author

Review article: immune suppression and colorectal cancer.

Alimentary pharmacology & therapeutics·2006
Same author

Achalasia cardia: A study of 113 patients managed with indigenous dilator.

Tropical gastroenterology : official journal of the Digestive Diseases Foundation·2006
Same author

Identification of a repetitive sequence belonging to a PPE gene of Mycobacterium tuberculosis and its use in diagnosis of tuberculosis.

Journal of medical microbiology·2006
Same author

Mutations in WNT7A cause a range of limb malformations, including Fuhrmann syndrome and Al-Awadi/Raas-Rothschild/Schinzel phocomelia syndrome.

American journal of human genetics·2006
Same author

Pandemic influenza and its implications for transplantation.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2006

Area of Science:

  • Biomedical Optics
  • Tissue Optics
  • Medical Imaging

Background:

  • Understanding tissue optical properties is crucial for non-invasive diagnostic techniques.
  • Diffuse surface reflectance provides insights into tissue composition and structure.
  • Laser-based methods offer potential for in vivo tissue analysis.

Purpose of the Study:

  • To measure and analyze the diffuse surface reflectance profiles of goat heart, spleen, and adipose tissues.
  • To determine the optical parameters of these tissues using multiprobe laser reflectometry and Monte Carlo simulations.
  • To investigate the feasibility of detecting tissue inhomogeneity based on optical property variations.

Main Methods:

  • Utilized a multiprobe laser reflectometer to measure surface reflectance profiles.

Related Experiment Videos

  • Employed Monte Carlo simulations and iterative procedures for optical parameter determination.
  • Simulated tissue inhomogeneity by incorporating adipose and spleen tissues within a control heart tissue model at varying depths and sizes.
  • Analyzed photon backscattering simulated images derived from horizontal scans.

    • Main Results:

    • Normalized backscattered intensity values varied significantly across adipose (0.060), heart (0.021), and spleen (0.003) tissues at a 0.2 cm source-detector separation.
    • Optical parameters determined through best-fit analysis (chi2(0.99)) showed a wide range, necessitating treatment of adipose and spleen as inhomogeneities.
    • Anisotropic light backscattering and photon depth distribution differed significantly between tissue types.
    • Surface intensity profiles were sensitive to changes in tissue composition.

    Conclusions:

    • Diffuse surface reflectance measurements combined with Monte Carlo simulations can effectively characterize optical properties of different biological tissues.
    • The method allows for the determination of the type, location, and size of tissue compositional variations.
    • This approach holds promise for non-invasive tissue characterization and disease detection.