Algorithm for characterizing the subcellular structures of nanometer-sized biological specimens in a solution using x-ray free-electron lasers
| Autor: | Ning-Jung Chen, Chien-Chun Chen, Yeukuang Hwu, Jhih-Heng Yang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Diffraction
Materials science Physics and Astronomy (miscellaneous) business.industry X-ray 02 engineering and technology 021001 nanoscience & nanotechnology Laser 01 natural sciences Coherent diffraction imaging Synchrotron law.invention Biological specimen Optics law 0103 physical sciences Microscopy Particle General Materials Science 010306 general physics 0210 nano-technology business |
| Zdroj: | Physical Review Materials. 3 |
| ISSN: | 2475-9953 |
| DOI: | 10.1103/physrevmaterials.3.123803 |
| Popis: | Coherent diffraction imaging using third generation synchrotron sources and x-ray free-electron lasers has been demonstrated to be an excellent tool for revealing the inner structures of a single particle. The primary challenge in imaging pure, tiny, and isolated biological specimens is obtaining a reliable reconstruction from diffraction data that have a poor signal-to-noise ratio. Thus, we developed a robust method that yields the internal density distribution of liposome vesicles immersed in a solution. By combining the guided hybrid input-output method and a new order parameter defined by the consistency of the reconstruction, we, without prior knowledge, retrieved both pure and drug-containing liposome vesicles from individual diffraction patterns. This result is currently the smallest noncrystalline biological specimen resolved by single-shot coherent diffraction microscopy. |
| Databáze: | OpenAIRE |
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