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Related Concept Videos

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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...
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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...
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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Electron Microscope Tomography and Single-particle Reconstruction01:07

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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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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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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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Updated: Sep 5, 2025

Elemental-sensitive Detection of the Chemistry in Batteries through Soft X-ray Absorption Spectroscopy and Resonant Inelastic X-ray Scattering
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pyXPCSviewer: an open-source interactive tool for X-ray photon correlation spectroscopy visualization and analysis.

Miaoqi Chu1, Jeffrey Li1, Qingteng Zhang1

  • 1X-ray Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA.

Journal of Synchrotron Radiation
|July 5, 2022
PubMed
Summary
This summary is machine-generated.

pyXPCSviewer is a new Python tool for visualizing X-ray photon correlation spectroscopy (XPCS) data. This open-source software supports diverse data and new techniques for advanced synchrotron sources.

Keywords:
GUIPythonX-ray photon correlation spectroscopysynchrotronvisualization

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Photon Science

Background:

  • X-ray Photon Correlation Spectroscopy (XPCS) is a powerful technique for studying dynamic processes in materials.
  • Advanced synchrotron sources are enabling new frontiers in XPCS research.
  • Effective data visualization tools are crucial for interpreting complex XPCS results.

Purpose of the Study:

  • To introduce pyXPCSviewer, a novel Python-based graphical user interface.
  • To provide interactive visualization capabilities for XPCS data.
  • To facilitate customization and integration of new techniques for the XPCS community.

Main Methods:

  • Development of a Python-based graphical user interface (GUI).
  • Utilization of PyQt widgets for interactive and maintainable data display.
  • Parsing of rich XPCS results into independent, modular components.

Main Results:

  • Successful deployment of pyXPCSviewer at the Advanced Photon Source beamline 8-ID-I.
  • Creation of an interactive and user-friendly platform for XPCS data visualization.
  • Establishment of an open-source framework for community-driven customization.

Conclusions:

  • pyXPCSviewer enhances the analysis of XPCS data from advanced synchrotron sources.
  • The open-source nature promotes adaptability to evolving XPCS techniques and data formats.
  • This tool supports the growing demands of modern XPCS research.