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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

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Related Experiment Video

Updated: Jun 11, 2026

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization
05:54

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization

Published on: September 8, 2023

Correcting optical-axis calculation in polarization-sensitive optical coherence tomography.

Chuanmao Fan1, Gang Yao

  • 1Department of Biological Engineering, University of Missouri, Columbia, MO 65211, USA. cf7b6@mail.missouri.edu

IEEE Transactions on Bio-Medical Engineering
|July 3, 2010
PubMed
Summary
This summary is machine-generated.

Polarization-sensitive optical coherence tomography (PSOCT) misrepresents optical axes due to depth-dependent retardation. A new numerical correction method accurately maps 2-D optical axis distributions in tissues.

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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

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Last Updated: Jun 11, 2026

Polarization-Sensitive Two-Photon Microscopy for a Label-Free Amyloid Structural Characterization
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Published on: September 8, 2023

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
07:44

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Tissue Optics

Background:

  • Polarization-sensitive optical coherence tomography (PSOCT) is valuable for imaging birefringent tissues.
  • Current PSOCT methods use circularly polarized light and detect orthogonal components.
  • Existing studies inaccurately represent optical axes as depth-dependent periodic maps.

Purpose of the Study:

  • To identify the cause of optical axis misrepresentation in PSOCT images.
  • To develop a numerical method for correcting optical axis calculations.
  • To validate the correction method in biological tissue samples.

Main Methods:

  • Analysis of optical retardation accumulation with depth in PSOCT.
  • Development of a numerical algorithm to correct optical axis calculations.
  • Experimental validation using enface PSOCT imaging of tendon tissue.

Main Results:

  • Confirmed that accumulated optical retardation causes periodic misrepresentation of optical axes.
  • Successfully implemented a simple numerical correction method.
  • Demonstrated accurate 2-D optical axis mapping in enface PSOCT images of tendon.

Conclusions:

  • The proposed numerical correction resolves depth-dependent periodic misrepresentation in PSOCT optical axis images.
  • Accurate 2-D optical axis mapping is now feasible for birefringent tissues.
  • This advancement enhances the utility of PSOCT for quantitative birefringence imaging.