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用于智能4D X射线成像的基于实时图像内容的光束线控制。

Real-time image-content-based beamline control for smart 4D X-ray imaging.

作者信息

Vogelgesang Matthias, Farago Tomas, Morgeneyer Thilo F, Helfen Lukas, Dos Santos Rolo Tomy, Myagotin Anton, Baumbach Tilo

机构信息

Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.

Institute for Photon Science and Synchrotron Radiation, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.

出版信息

J Synchrotron Radiat. 2016 Sep 1;23(Pt 5):1254-63. doi: 10.1107/S1600577516010195. Epub 2016 Jul 28.

Abstract

Real-time processing of X-ray image data acquired at synchrotron radiation facilities allows for smart high-speed experiments. This includes workflows covering parameterized and image-based feedback-driven control up to the final storage of raw and processed data. Nevertheless, there is presently no system that supports an efficient construction of such experiment workflows in a scalable way. Thus, here an architecture based on a high-level control system that manages low-level data acquisition, data processing and device changes is described. This system is suitable for routine as well as prototypical experiments, and provides specialized building blocks to conduct four-dimensional in situ, in vivo and operando tomography and laminography.

摘要

同步辐射设施采集的X射线图像数据的实时处理支持智能高速实验。这包括从参数化和基于图像的反馈驱动控制到原始数据和处理后数据最终存储的工作流程。然而,目前还没有一个系统能够以可扩展的方式支持高效构建此类实验工作流程。因此,本文描述了一种基于高级控制系统的架构,该系统可管理低级数据采集、数据处理和设备更改。该系统适用于常规实验和原型实验,并提供专门的构建模块,用于进行四维原位、体内和操作断层扫描及分层摄影。

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