Search research articles

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

A single MRI scan contains sufficient imaging information for accurate prediction of meningioma growth risk.

NeuroImage. Clinical·2026

Same author

Type 2 diabetes disrupts T-tubule and RyR2 organization in male but not in female rat ventricular muscle.

American journal of physiology. Heart and circulatory physiology·2026

Same author

Single-Scan Machine Learning Prediction of Meningioma Tumor Growth Risk and Progression Using Neurosurgeon-Evaluated MRI and CT Scan Features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

Measurement and control of mechanics of cardiac trabeculae secured by light-curable hydrogel.

Experimental physiology·2025

Same author

Patient-Specific Haemodynamic Modeling to Estimate the Extent of Microvascular Disease and Response to Pulmonary Endarterectomy in Chronic Thromboembolic Pulmonary Hypertension.

Pulmonary circulation·2025

Same author

Sex differences in ventricular muscle energetics in a type 2 diabetic rat model.

Cardiovascular diabetology. Endocrinology reports·2025

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Oct 17, 2025

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Published on: November 11, 2022

Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging.

Alexander W Dixon¹, Andrew J Taberner^1,2, Martyn P Nash^1,2

¹University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand.

Journal of Biomedical Optics

|October 7, 2021

Summary

This summary is machine-generated.

Mueller matrix imaging non-destructively characterizes optical anisotropy in bovine pericardium. This technique reveals spatial distributions of optical properties, improving tissue selection for engineering applications.

Keywords:

Mueller matrix imaging bioprosthetic heart valves collagen optical polarization tissue anisotropy

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Related Experiment Videos

Last Updated: Oct 17, 2025

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Published on: November 11, 2022

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Area of Science:

Biomedical Optics
Tissue Engineering
Optical Imaging

Background:

Soft tissue membranes possess optical anisotropy due to fibrous components.
Characterizing this anisotropy is crucial for tissue engineering applications.
Conventional imaging techniques struggle with turbid tissues and optical anisotropy.

Purpose of the Study:

To develop a non-destructive macroscopic imaging technique.
The technique should be sensitive to optical anisotropy in soft tissue membranes.
To address challenges posed by the complex, turbid nature of these tissues.

Main Methods:

Developed a near-infrared Mueller matrix imaging polarimeter.
Employed logarithm decomposition for polarization property analysis.
Conducted transmission measurements across the full thickness of bovine pericardium.

Main Results:

Measured the complete Mueller matrix of a 70mm x 70mm calf bovine pericardium sample.
Identified significant retardance (linear and circular) and depolarization.
Revealed regional distributions of uniform optical anisotropy axes.

Conclusions:

Mueller matrix imaging effectively identifies regional optical anisotropy in calf bovine pericardium.
This non-destructive imaging capability shows promise for tissue selection.
Circular retardance can lead to misinterpretation with conventional polarization imaging.