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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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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 23, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
10:46

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

Cross-correlation-based image acquisition technique for manually-scanned optical coherence tomography.

Adeel Ahmad1, Steven G Adie, Eric J Chaney

  • 1Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

Optics Express
|May 13, 2009
PubMed
Summary

A new Optical Coherence Tomography (OCT) technique allows manual scanning by correcting for speed variations. This enables clear OCT imaging during procedures like biopsies and catheterizations.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging Technology

Background:

  • Optical Coherence Tomography (OCT) is a crucial imaging modality.
  • Manual scanning in OCT is challenging due to variable scan speeds and motion artifacts.
  • Existing OCT systems often require precise, automated scanning for optimal image quality.

Purpose of the Study:

  • To develop and validate a novel image acquisition technique for OCT enabling manual lateral scanning.
  • To compensate for non-uniform scan velocities and abrupt stops during manual data acquisition.
  • To demonstrate the feasibility of assembling high-quality OCT images from manually acquired datasets.

Main Methods:

  • A new image acquisition technique for OCT was developed.
  • The technique utilizes feedback from the correlation between consecutive A-scans to compensate for lateral scan velocity variations.
  • The method was tested on phantom samples and biological tissues.

Main Results:

  • Successful assembly of OCT images from manually scanned datasets was achieved.
  • The technique effectively compensated for non-uniform scan velocity and motion artifacts.
  • High-quality OCT images were reconstructed despite challenges in manual data acquisition.

Conclusions:

  • The novel OCT image acquisition technique enables reliable manual lateral scanning.
  • This advancement facilitates OCT imaging in challenging clinical scenarios, including needle-guided biopsy and catheter-based procedures.
  • The technique supports the creation of large field-of-view images using hand-held probes for intraoperative imaging.