Loh N Duane
Center for Bioimaging Sciences and Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117411 PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
Philos Trans R Soc Lond B Biol Sci. 2014 Jul 17;369(1647):20130328. doi: 10.1098/rstb.2013.0328.
The ability to serially interrogate single biomolecules with femtosecond X-ray pulses from free-electron lasers has ushered in the possibility of determining the three-dimensional structure of biomolecules without crystallization. However, the complexity of imaging a sample's structure from very many of its noisy and incomplete diffraction data can be daunting. In this review, we introduce a simple analogue of this imaging workflow, use it to describe a structure reconstruction algorithm based on the expectation maximization principle, and consider the effects of extraneous noise. Such a minimal model can aid experiment and algorithm design in future studies.
利用自由电子激光产生的飞秒X射线脉冲对单个生物分子进行连续询问的能力，带来了无需结晶就能确定生物分子三维结构的可能性。然而，从大量嘈杂且不完整的衍射数据中对样品结构进行成像的复杂性可能令人望而却步。在本综述中，我们引入了这种成像工作流程的一个简单类似物，用它来描述一种基于期望最大化原理的结构重建算法，并考虑外部噪声的影响。这样一个最小模型有助于未来研究中的实验和算法设计。
