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Related Concept Videos

X-ray Crystallography02:18

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
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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.
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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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Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
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CCD camera response to diffraction patterns simulating particle images.

M Stanislas1, D G Abdelsalam, S Coudert

  • 1Université Lille Nord de France, Ecole Centrale de Lille, LML URA 1441, BP 48, Cité Scientifique, F59651 Villeneuve d’Ascq Cedex, France. michel.stanislas@ec‐lille.fr

Applied Optics
|July 12, 2013
PubMed
Summary
This summary is machine-generated.

This study statistically analyzes camera response to small particle images. Results show high accuracy in position determination, suggesting potential for super-resolution particle image velocimetry (PIV) algorithms.

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Area of Science:

  • Optical Engineering
  • Image Processing
  • Fluid Dynamics

Background:

  • Accurate particle image velocimetry (PIV) is crucial for fluid flow analysis.
  • Estimating particle locations from small images (2-3 pixels) presents challenges.

Purpose of the Study:

  • To statistically evaluate Charge-Coupled Device (CCD) or Complementary Metal-Oxide-Semiconductor (CMOS) camera response to small particle images.
  • To assess the accuracy of position determination using Gaussian peak fitting for super-resolution PIV.

Main Methods:

  • Experimental generation of diffraction patterns simulating small particle images.
  • Characterization using three-point Gaussian peak fitting.
  • Calculation of bias and RMS error using a custom program.

Main Results:

  • Demonstrated very good accuracy in particle position determination.
  • Investigated the influence of particle image intensity variation on camera response.
  • Validated the effectiveness of the peak-fitting technique for small image sizes.

Conclusions:

  • The study confirms high accuracy in position determination for small particle images.
  • Highlights the potential of super-resolution PIV algorithms for enhanced measurements.
  • Proposes future research directions to expand and refine the study.