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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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Determination of Crystal Structures

In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...
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X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
Electron Microscope Tomography and Single-particle Reconstruction01:07

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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Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Accelerated...
X-ray Diffraction of Biological Samples01:10

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X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...

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High-resolution x-ray computed tomography using a solid-state linear detector.

V Kaftandjian1, G Peix, D Babot

  • 1Laboratoire CNDRI, Bât.303, INSA, 69621 Villeurbanne Cedex, France.

Journal of X-Ray Science and Technology
|February 11, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a low-cost computed tomographic imaging system achieving high resolution (150 μm) with a linear detector and even finer detail (25 μm) using a Vidicon camera, outperforming conventional scanners.

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Area of Science:

  • Medical Imaging
  • Materials Science
  • X-ray Technology

Background:

  • Computed tomographic (CT) imaging is crucial for non-destructive analysis.
  • High-resolution imaging systems are often costly and complex.
  • Existing CT systems may lack the resolution required for detailed material or biological structure analysis.

Purpose of the Study:

  • To develop and evaluate an original, low-cost acquisition system for computed tomographic imaging.
  • To assess the image quality, specifically spatial resolution and contrast sensitivity, of the developed system.
  • To demonstrate the system's capabilities in both biological and industrial applications.

Main Methods:

  • Utilized a linear detector with sensitive elements of 0.225 mm × 0.5 mm for initial imaging.
  • Employed magnification techniques to achieve higher effective resolution.
  • Incorporated an x-ray sensitive Vidicon camera for enhanced resolution imaging.
  • Evaluated image quality using standard test objects and in vitro biological samples (vertebrae).
  • Presented an industrial application case study involving advanced composite materials.

Main Results:

  • Achieved a spatial resolution of approximately 150 μm with the linear detector system after magnification.
  • Demonstrated significant improvements in image quality, including spatial resolution and contrast sensitivity, compared to conventional medical scanners.
  • Obtained an even higher resolution of 25 μm using the x-ray sensitive Vidicon camera.
  • Successfully applied the system for the analysis of advanced composite materials.

Conclusions:

  • The developed low-cost CT acquisition system offers a viable alternative to conventional scanners, providing high-resolution imaging capabilities.
  • The system demonstrates versatility, suitable for both biological sample analysis and industrial material inspection.
  • The use of a Vidicon camera significantly enhances resolution, opening possibilities for micro-scale material characterization.