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X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

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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Coherent diffraction microscopy at SPring-8: instrumentation, data acquisition and data analysis.

Rui Xu1, Sara Salha, Kevin S Raines

  • 1Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, CA 90095, USA. xur@physics.ucla.edu

Journal of Synchrotron Radiation
|February 22, 2011
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Summary
This summary is machine-generated.

Coherent diffraction microscopy, a lensless imaging technique, has been refined with new instrumentation and analysis methods. This advancement enables high-quality image reconstruction for materials science and biological samples.

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Area of Science:

  • X-ray microscopy
  • Lensless imaging
  • Materials science

Background:

  • Coherent diffraction microscopy (CDM) has evolved since its inception in 1999.
  • Lensless imaging techniques offer unique advantages in high-resolution imaging.

Purpose of the Study:

  • To present instrumentation and experimental procedures for CDM.
  • To detail data analysis for high-quality image reconstruction.
  • To facilitate the application of CDM in materials science and biology.

Main Methods:

  • Utilized an undulator beamline (BL29XUL) at SPring-8 for measurements.
  • Acquired oversampled diffraction patterns from non-crystalline specimens.
  • Implemented detailed post-experimental data analysis for image reconstruction.

Main Results:

  • Demonstrated refined instrumentation for coherent diffraction microscopy.
  • Achieved high-quality image reconstructions through advanced data analysis.
  • Established procedures for measuring diffraction patterns from non-crystalline samples.

Conclusions:

  • High-quality diffraction pattern acquisition is crucial for successful image reconstruction.
  • The presented methods enhance the applicability of CDM for diverse samples.
  • This work supports the use of CDM in materials science and biological imaging.