2013/03/28 by A. Hosseinizadeh, Ahmad Hosseinizadeh, Hosseinizadeh, A. +14 · 1 citation
Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #Biological Physics (physics.bio-ph) #Computational Physics (physics.comp-ph) #Data Analysis #Enzyme Structure and Function #FOS: Physical sciences #Statistics and Probability (physics.data-an) #physics.bio-ph #physics.comp-ph #physics.data-an
paper · pdf · doi:10.48550/arxiv.1303.7253
arxiv created 2013/03/28 · openalex publication_date 2013/03/28 · arxiv updated 2013/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The advent of the X-ray Free Electron Laser (XFEL) has made it possible to record snapshots of biological entities injected into the X-ray beam before the onset of radiation damage. Algorithmic means must then be used to determine the snapshot orientations and reconstruct the three-dimensional structure of the object. Existing approaches are limited in reconstruction resolution to at best 1/30th of the object diameter, with the computational expense increasing as the eighth power of the ratio of diameter to resolution. We present an approach capable of exploiting object symmetries to recover three-dimensional structure to 1/100th of the object diameter, and thus reconstruct the structure of the satellite tobacco necrosis virus to atomic resolution. Combined with the previously demonstrated capability to operate at ultralow signal, our approach offers the highest reconstruction resolution for XFEL snapshots to date, and provides a potentially powerful alternative route for analysis of data from crystalline and nanocrystalline objects.