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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 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.
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Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...

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Near Infrared Optical Projection Tomography for Assessments of &beta;-cell Mass Distribution in Diabetes Research
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Published on: January 12, 2013

Source intensity profile in noncontact optical tomography.

Ana Sarasa-Renedo1, Rosy Favicchio, Udo Birk

  • 1Foundation for Research and Technology-Hellas, P.O. Box 1527, Heraklion 71110, Greece.

Optics Letters
|July 29, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for noncontact optical tomography, improving image quality and resolution in live animals. The approach accurately models light sources, simplifying image reconstruction for fluorescent protein imaging.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Fluorescence Imaging

Background:

  • Noncontact optical tomography in reflection mode is crucial for imaging fluorescent proteins in live animals due to limited light penetration.
  • Accurately modeling the light source's intensity profile in noncontact reflection mode is challenging, often requiring approximations.

Purpose of the Study:

  • To develop a rigorous theoretical approach for noncontact optical tomography that precisely accounts for the source's intensity profile.
  • To improve image quality, resolution, and simplify the reconstruction process in reflection mode imaging.

Main Methods:

  • Developed a theoretical framework to directly incorporate the source intensity profile in reflection mode optical tomography.
  • Validated the approach using in vivo data from green fluorescent protein (GFP)-expressing mice.

Main Results:

  • The proposed method significantly improves image quality and resolution compared to traditional approximations.
  • The approach simplifies both the forward and inverse problems in image reconstruction.
  • Demonstrated successful in vivo application in GFP-expressing mouse models.

Conclusions:

  • A novel theoretical approach enhances noncontact reflection mode optical tomography for fluorescent protein imaging in vivo.
  • This method offers a more accurate and simplified solution for reconstructing images from live animal studies.
  • The findings pave the way for more effective biomedical imaging applications using optical tomography.