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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.
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Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
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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.
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Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
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Probability Distributions

The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Pair distribution function computed tomography.

Simon D M Jacques1, Marco Di Michiel, Simon A J Kimber

  • 11] School of Materials, University of Manchester, Manchester M13 9PL, UK [2] Research Complex at Harwell, Rutherford Appleton Laboratory, Harwell, Didcot, Oxfordshire, OX11 0QX, UK.

Nature Communications
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new imaging method combining X-ray analysis and computed tomography. It enables detailed structural mapping of nanocrystalline and amorphous materials, advancing materials science.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Imaging Techniques

Background:

  • Modern composites require understanding nanoscale properties and microscale arrangement.
  • Diffraction-based imaging is useful but limited to highly crystalline materials.
  • A need exists for imaging techniques applicable to a broader range of material structures.

Purpose of the Study:

  • To develop a novel imaging method for analyzing nanocrystalline and amorphous materials.
  • To overcome the limitations of traditional diffraction-based techniques.
  • To enable in situ characterization of material structures.

Main Methods:

  • Combines X-ray atomic pair distribution function analysis with computed tomography.
  • Enables identification, quantification, and mapping of material structures.
  • Demonstrated using a phantom object and a heterogeneous catalyst system.

Main Results:

  • Successfully identified, quantified, and mapped the structure of nanocrystalline and amorphous materials.
  • Provided in situ resolution of physicochemical states in a catalyst system.
  • Overcame the restriction of requiring high crystallographic ordering.

Conclusions:

  • The developed method expands structural analysis capabilities to include disordered materials.
  • Offers potential applications across diverse scientific fields, including materials science, health, and environmental science.
  • Represents a significant advancement in the characterization of designer materials and devices.