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https://doi.org/10.1038/sdata.2016.60
Title: | Single-shot diffraction data from the Mimivirus particle using an X-ray free-electron laser | Authors: | Ekeberg, T Svenda, M Seibert, M.M |
Keywords: | algorithm computer simulation electron image processing information processing laser Mimiviridae particle size radiation scattering theoretical model three dimensional imaging X ray X ray crystallography X ray diffraction Algorithms Computer Simulation Crystallography, X-Ray Data Collection Electrons Image Processing, Computer-Assisted Imaging, Three-Dimensional Lasers Mimiviridae Models, Theoretical Particle Size Scattering, Radiation X-Ray Diffraction X-Rays |
Issue Date: | 2016 | Citation: | Ekeberg, T, Svenda, M, Seibert, M.M (2016). Single-shot diffraction data from the Mimivirus particle using an X-ray free-electron laser. Scientific Data 3 : 160060. ScholarBank@NUS Repository. https://doi.org/10.1038/sdata.2016.60 | Rights: | Attribution 4.0 International | Abstract: | Free-electron lasers (FEL) hold the potential to revolutionize structural biology by producing X-ray pules short enough to outrun radiation damage, thus allowing imaging of biological samples without the limitation from radiation damage. Thus, a major part of the scientific case for the first FELs was three-dimensional (3D) reconstruction of non-crystalline biological objects. In a recent publication we demonstrated the first 3D reconstruction of a biological object from an X-ray FEL using this technique. The sample was the giant Mimivirus, which is one of the largest known viruses with a diameter of 450 nm. Here we present the dataset used for this successful reconstruction. Data-analysis methods for single-particle imaging at FELs are undergoing heavy development but data collection relies on very limited time available through a highly competitive proposal process. This dataset provides experimental data to the entire community and could boost algorithm development and provide a benchmark dataset for new algorithms. | Source Title: | Scientific Data | URI: | https://scholarbank.nus.edu.sg/handle/10635/178884 | ISSN: | 20524463 | DOI: | 10.1038/sdata.2016.60 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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