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Published on: January 28, 2021
Data processing software suite SITENNO for coherent X-ray diffraction imaging using the X-ray free-electron laser
Yuki Sekiguchi1, Tomotaka Oroguchi1, Yuki Takayama1
1Department of Physics, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
Coherent X-ray diffraction imaging visualizes non-crystalline particles using X-ray free-electron lasers. A new software suite, SITENNO, enables rapid analysis of thousands of diffraction patterns for structural characterization.
Area of Science:
- Materials Science
- Crystallography
- Photon Science
Background:
- Coherent X-ray diffraction imaging (CXDI) is crucial for visualizing non-crystalline particles.
- Advancements in X-ray free-electron laser (XFEL) sources facilitate `diffraction before destruction' experiments.
- High-throughput data acquisition necessitates efficient processing methods.
Purpose of the Study:
- To introduce the SITENNO software suite for semi-automated processing of CXDI data.
- To detail the algorithms employed within the SITENNO suite.
- To evaluate the performance of SITENNO using experimental data from copper oxide particles.
Main Methods:
- Utilized SPring-8 Angstrom Compact free-electron LAser (SACLA) with KOTOBUKI-1 apparatus and multiport CCD detectors.
- Collected thousands of single-shot diffraction patterns within hours.
- Developed and applied the SITENNO software suite for data processing, including pattern selection, direct-beam determination, detector merging, and phase retrieval.
Main Results:
- SITENNO successfully processed approximately 9000 diffraction patterns from cuboid copper oxide particles.
- The software suite enables immediate data processing post-collection.
- Characterized particle size distribution and internal structures of non-crystalline copper oxide particles.
Conclusions:
- The SITENNO software suite significantly enhances the efficiency of CXDI data analysis.
- Real-time processing capabilities allow for rapid structural characterization of nanomaterials.
- This approach advances the application of CXDI for studying micro- and sub-micrometer non-crystalline structures.
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