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

Tailoring Heterogeneous Antiphase Boundaries in Multi-Shelled Structure to Boost Na<sup>+</sup> Diffusion Kinetics for High-Rate Sodium-Ion Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Instrument-matrix based full-Stokes parameter direct retrieval for snapshot imaging polarimeter.

Optics express·2025
Same author

Tumor extracellular vesicle-derived PD-L1 promotes T cell senescence through lipid metabolism reprogramming.

Science translational medicine·2025
Same author

Blocking senescence and tolerogenic function of dendritic cells induced by γδ Treg cells enhances tumor-specific immunity for cancer immunotherapy.

Journal for immunotherapy of cancer·2024
Same author

Blockades of effector T cell senescence and exhaustion synergistically enhance antitumor immunity and immunotherapy.

Journal for immunotherapy of cancer·2022
Same author

Emerging role of tumor-derived extracellular vesicles in T cell suppression and dysfunction in the tumor microenvironment.

Journal for immunotherapy of cancer·2021

Related Experiment Video

Updated: Jun 18, 2025

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging

Published on: September 15, 2023

443

Full-Automatic High-Efficiency Mueller Matrix Microscopy Imaging for Tissue Microarray Inspection.

Hanyue Wei1,2, Yifu Zhou1,2, Feiya Ma1,2

  • 1School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an automated Mueller matrix microscopic imaging system using tissue microarrays for efficient cancer detection. It distinguishes cancerous tissues by analyzing polarization characteristics, improving diagnostic accuracy.

Keywords:
Mueller matrix microscopy imagingcancerous cervical inspectionpolarization measurementtissue microarray

More Related Videos

A Next-generation Tissue Microarray ngTMA Protocol for Biomarker Studies
09:32

A Next-generation Tissue Microarray ngTMA Protocol for Biomarker Studies

Published on: September 23, 2014

24.0K
Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

3.7K

Related Experiment Videos

Last Updated: Jun 18, 2025

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging

Published on: September 15, 2023

443
A Next-generation Tissue Microarray ngTMA Protocol for Biomarker Studies
09:32

A Next-generation Tissue Microarray ngTMA Protocol for Biomarker Studies

Published on: September 23, 2014

24.0K
Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

3.7K

Area of Science:

  • Biomedical Optics
  • Cancer Diagnostics
  • Microscopy

Background:

  • Mueller matrix microscopic imaging (MMMI) is crucial for analyzing tissue polarization properties.
  • Traditional MMMI methods use high magnification and small fields of view, limiting efficiency.
  • Tissue microarrays (TMA) offer a platform for high-throughput analysis of multiple samples.

Purpose of the Study:

  • To develop and validate a fully automated, high-efficiency MMMI system integrated with TMA for cancer inspection.
  • To differentiate cancerous tissues from normal tissues by analyzing their unique polarization signatures.
  • To enhance the diagnostic capability for postoperative cancer biopsies.

Main Methods:

  • A transmissive MMMI system was established for acquiring Mueller matrices (MM) from TMA samples.
  • Polar decomposition of MM was performed to extract linear phase retardance and fast-axis azimuth.
  • Statistical analysis, Gray-Level Co-occurrence Matrix (GLCM), and Tamura Image Processing Method (TIPM) were employed for data analysis.

Main Results:

  • The system successfully distinguished cancerous cervical tissues from normal tissues based on polarization characteristics.
  • Analysis of linear phase retardance and fast-axis azimuth revealed significant differences between healthy and cancerous tissues.
  • The use of a low-magnification objective (5×) with TMA provided a large field of view, enhancing efficiency.

Conclusions:

  • The proposed automated MMMI system with TMA is effective for analyzing pathological variations in biological tissues.
  • This approach offers a reproducible and efficient method for cancer inspection, particularly for postoperative biopsies.
  • The integration of TMA with MMMI significantly improves the throughput and consistency of diagnostic analysis.