Wednesday, November 11, 2026
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Technology and Engineering

New 3D Ellipsoid Method Visualizes Tissue Polarization

November 11, 2026
in Technology and Engineering
Denise Maddox
By Denise Maddox Scienmag Editorial Profile - Mechanical Engineering
Reading Time: 5 mins read
0
New 3D Ellipsoid Method Visualizes Tissue Polarization

New 3D Ellipsoid Method Visualizes Tissue Polarization

65
SHARES
587
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

Published in the journal Frontiers of Optoelectronics, the study presents the Global-Polarization Stokes Ellipsoid, or GPSE, as a way to visualize the complete polarization information of biological tissues. The Mueller matrix is a 4×4 mathematical representation that describes how a medium modifies the polarization state of light, but its sixteen numerical elements can be difficult to interpret intuitively. The new method projects the outgoing polarization states of all fully polarized light onto the Poincaré sphere, creating a three-dimensional ellipsoidal shape that reflects the inherent optical properties of the sample.

While Stokes vectors are commonly used to describe polarization, they are highly dependent on the specific incident polarization state chosen for measurement. In contrast, the Mueller matrix is independent of the incident state and provides a more stable and comprehensive description of a sample’s polarization characteristics. However, visualizing the Mueller matrix has been rarely proposed in previous literature. The authors aimed to extend the intuitive projection methods used for Stokes vectors to the Mueller matrix, thereby establishing a more robust framework for analyzing the inherent features of biological samples from the perspective of polarization optics.

The experimental setup utilized a Mueller matrix imaging system based on the dual rotating retarder method. This configuration included two detection pathways: forward transmission and backward scattering. The illumination source was a 3-watt LED emitting at 633 nanometers with a bandwidth of 20 nanometers. The system employed a polarization state generator and a polarization state analyzer, each consisting of a lens, a polarizer, and a quarter-wave plate. The quarter-wave plates were controlled by rotation servo motors to generate various polarization states. A CMOS camera captured 30 intensity images with diverse polarization states, which were then used to calculate the Fourier coefficients and subsequently the sixteen elements of the Mueller matrix. The system was calibrated using standard samples, with systematic error controlled within 1 percent.

The study examined porcine liver, bovine skeletal muscle, and porcine fat as measurement samples. These tissues were selected because they represent different optical and structural properties. Skeletal muscle exhibits significant anisotropy due to its orderly arranged fibers, while fat is considered an isotropic medium. Liver tissue contains both anisotropic connective tissues and isotropic hepatic lobule tissues. The samples were preserved in phosphate-buffered saline at 4 degrees Celsius and sliced into thin sections of 0.06 centimeters for transmission measurements, while samples for backward detection were cut to a thickness of 0.5 centimeters. All samples were cut into square pieces measuring 1.5 centimeters by 1.5 centimeters.

The GPSE is defined by projecting the outgoing Stokes vectors of all fully polarized incident states onto the Poincaré sphere. When a sufficient number of polarization points are selected on the sphere, their corresponding outgoing projection points can be connected to form a topological space. In most cases, this projection exhibits an ellipsoidal shape. The study defines three basic characteristic parameters of the GPSE: V, E, and D-dagger. The V parameter represents the polarization maintenance ability of the sample, calculated as the cube root of the product of the long, middle, and short axes of the ellipsoid. A V value of 1 indicates complete polarization maintenance, while a value of 0 indicates complete depolarization.

The E parameter describes the eccentricity of the GPSE, reflecting the difference in polarization maintenance ability among various fully polarized states. An E value of 0 corresponds to a spherical GPSE, indicating consistent polarization maintenance across all states, while values closer to 1 indicate significant differences due to anisotropy. The D-dagger parameter describes the position of the GPSE center relative to the origin of the coordinate system, which may also be related to tissue anisotropy. These parameters were derived from the geometric properties of the ellipsoid, providing a quantitative measure of the tissue’s optical behavior.

Monte Carlo simulations were employed to further explore the relationship between GPSE characteristics and tissue anisotropy. The simulations used a sphere-cylinder birefringence model to independently regulate two main sources of tissue anisotropy: intrinsic birefringence and form birefringence due to cylindrical scattering. By varying the refractive index difference, the full width at half maximum of the cylindrical scatterer distribution, and the fiber content, the researchers observed how the GPSE responded to changes in tissue structure.

Experimental results revealed notable distinctions in the GPSEs of the different tissues. The GPSE of bovine skeletal muscle showed a higher polarization maintenance ability for linearly polarized light aligned with or perpendicular to the muscle fibers, compared to other polarization states. In contrast, the GPSE of porcine fat was more spherical, with the three symmetry axes coinciding with the S1, S2, and S3 axes, indicating almost no linear or circular phase retardance. The liver tissue displayed a more complex GPSE, with the hepatic lobule region showing a circular projection on the S1-S2 plane, similar to isotropic tissues, while the connective tissue region formed an ellipse, similar to anisotropic tissues.

The study also demonstrated the application of the GPSE system in monitoring the dynamic dehydration process of bovine skeletal muscle. Using a forward imaging setup, the team monitored the tissue every five minutes over a period of 90 minutes. The diagonal elements of the Mueller matrix gradually enhanced during dehydration, indicating an increased polarization maintenance ability. The volume of the GPSE increased, reflecting this change. The E and D-dagger parameters initially increased and then decreased, suggesting that the anisotropy of the muscle showed an overall trend of first increasing and then decreasing during dehydration. This trend was attributed to the tightening of fiber arrangement and increased birefringence in the early stages, followed by a decrease in scattering coefficient and refractive index difference in the later stages.

A significant advantage of the GPSE parameters over traditional Mueller matrix polar decomposition parameters is their immunity to the phase wrapping effect. The linear phase retardance parameter from Mueller matrix polar decomposition can exhibit anomalous oscillations due to the periodic nature of phase retardance. The GPSE parameters, however, are monotonically correlated with birefringence and can directly reflect the actual phase retardance due to tissue anisotropy without the need for additional dual-wavelength measurements. This makes the GPSE system a more stable and accurate tool for extracting anisotropic-related parameters from biological tissues.

The findings of this study provide a new perspective on perceiving polarization characteristics of biological tissues. The GPSE method enables a more intuitive identification of the optimal incident polarization state for improving discrimination among different tissue types or during dynamic tissue processes. By offering a three-dimensional visualization of the Mueller matrix, the method facilitates a deeper understanding of the microstructural and optical properties of tissues. The robustness and accuracy of the GPSE system were confirmed through both experimental observations and Monte Carlo simulations, highlighting its potential for further detailed evaluation of physiological mechanisms in tissue processes.

The research contributes to the field of biomedical optics by providing a comprehensive and intuitive tool for analyzing polarization properties. The study’s demonstration of the GPSE system in monitoring tissue dehydration underscores its utility in tracking dynamic biological processes.

The authors emphasize that the GPSE system provides a reliable detection basis for evaluating physiological mechanisms, such as birefringence effects and fiber orientation distribution. The method’s capacity to handle the full range of polarization states makes it a powerful tool for characterizing the optical properties of diverse biological samples.

Subject of Research: Stereoscopic spatial graphical method of Mueller matrix: Global-Polarization Stokes Ellipsoid

Article Title: Stereoscopic spatial graphical method of Mueller matrix: Global-Polarization Stokes Ellipsoid

Article References: Zhang, X., Song, J., Fan, J., Zeng, N., He, H., Tuchin, V. V., & Ma, H. (2024). Stereoscopic spatial graphical method of Mueller matrix: Global-Polarization Stokes Ellipsoid. Frontiers of Optoelectronics, 17(1), Article 29. https://doi.org/10.1007/s12200-024-00132-4

Image Credits: AI Generated

DOI: 10.1007/s12200-024-00132-4

Keywords: Stereoscopic, spatial, graphical, method, Mueller, matrix, Global-Polarization, Stokes, Ellipsoid, scientific research

Cite Scienmag News

Denise Maddox. (November 11, 2026). New 3D Ellipsoid Method Visualizes Tissue Polarization. Scienmag. https://scienmag.com/new-3d-ellipsoid-method-visualizes-tissue-polarization/

Denise Maddox. "New 3D Ellipsoid Method Visualizes Tissue Polarization." Scienmag, 11 November 2026, https://scienmag.com/new-3d-ellipsoid-method-visualizes-tissue-polarization/. Accessed 11 November 2026.

Denise Maddox. "New 3D Ellipsoid Method Visualizes Tissue Polarization." Scienmag. November 11, 2026. https://scienmag.com/new-3d-ellipsoid-method-visualizes-tissue-polarization/

Tags: EllipsoidGlobal-PolarizationgraphicalmatrixmethodMuellerScientific ResearchSpatialStereoscopicStokes
Share26Tweet16
Previous Post

Graph Attention Neural Network Detects Cyberattacks in Solar Photovoltaic Systems

Next Post

Emergence of Dominant Carbapenem-Resistant Klebsiella pneumoniae ST-1671 in Iranian Hospital

Related Posts

Sparse EEG Models and Baseline Adaptation Detect Hypoglycemia Across Participants
Biotechnology

Sparse EEG Models and Baseline Adaptation Detect Hypoglycemia Across Participants

November 11, 2026
Panel Study Links Artificial Intelligence Diffusion to Reduced Unemployment Across Fifty Economies
Technology and Engineering

Panel Study Links Artificial Intelligence Diffusion to Reduced Unemployment Across Fifty Economies

November 11, 2026
Researchers Establish Ethical Frameworks for Artificial Intelligence in Early Childhood Education
Psychology & Psychiatry

Researchers Establish Ethical Frameworks for Artificial Intelligence in Early Childhood Education

November 11, 2026
Clustering and Integer Programming Optimize University Bus Routes
Technology and Engineering

Clustering and Integer Programming Optimize University Bus Routes

November 11, 2026
Graph Attention Neural Network Detects Cyberattacks in Solar Photovoltaic Systems
Technology and Engineering

Graph Attention Neural Network Detects Cyberattacks in Solar Photovoltaic Systems

November 11, 2026
Comprehensive Survey Evaluates Emerging Architectures for Autonomous Driving Risk Assessment
Technology and Engineering

Comprehensive Survey Evaluates Emerging Architectures for Autonomous Driving Risk Assessment

November 11, 2026
Next Post
Emergence of Dominant Carbapenem-Resistant Klebsiella pneumoniae ST-1671 in Iranian Hospital

Emergence of Dominant Carbapenem-Resistant Klebsiella pneumoniae ST-1671 in Iranian Hospital

  • Mothers who receive childcare support from maternal grandparents show more optimized

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27656 shares
    Share 11059 Tweet 6912
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    1061 shares
    Share 424 Tweet 265
  • Bee body mass, pathogens and local climate influence heat tolerance

    682 shares
    Share 273 Tweet 171
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    546 shares
    Share 218 Tweet 137
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    531 shares
    Share 212 Tweet 133
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • School Types and Character Virtues Linked to Primary Student Competency Perceptions
  • Sparse EEG Models and Baseline Adaptation Detect Hypoglycemia Across Participants
  • Stress Granule Gene Signature Predicts Patient Outcomes in Esophageal Squamous Cell Carcinoma
  • Optimized High-Pressure and UV-C Treatments Reduce Microbes in Fresh Pomegranate Arils

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Biotechnology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Editorial Policy
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Science News
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,150 other subscribers

© 2026 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2026 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading