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. 2011 Mar;67(Pt 3):176-88.
doi: 10.1107/S0907444910053916. Epub 2011 Feb 15.

JBluIce-EPICS control system for macromolecular crystallography

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JBluIce-EPICS control system for macromolecular crystallography

Sergey Stepanov et al. Acta Crystallogr D Biol Crystallogr. 2011 Mar.

Abstract

The trio of macromolecular crystallography beamlines constructed by the General Medicine and Cancer Institutes Collaborative Access Team (GM/CA-CAT) in Sector 23 of the Advanced Photon Source (APS) have been in growing demand owing to their outstanding beam quality and capacity to measure data from crystals of only a few micrometres in size. To take full advantage of the state-of-the-art mechanical and optical design of these beamlines, a significant effort has been devoted to designing fast, convenient, intuitive and robust beamline controls that could easily accommodate new beamline developments. The GM/CA-CAT beamline controls are based on the power of EPICS for distributed hardware control, the rich Java graphical user interface of Eclipse RCP and the task-oriented philosophy as well as the look and feel of the successful SSRL BluIce graphical user interface for crystallography. These beamline controls feature a minimum number of software layers, the wide use of plug-ins that can be written in any language and unified motion controls that allow on-the-fly scanning and optimization of any beamline component. This paper describes the ways in which BluIce was combined with EPICS and converted into the Java-based JBluIce, discusses the solutions aimed at streamlining and speeding up operations and gives an overview of the tools that are provided by this new open-source control system for facilitating crystallographic experiments, especially in the field of microcrystallography.

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Figures

Figure 1
Figure 1
EPICS architecture.
Figure 2
Figure 2
SSRL BluIce architecture.
Figure 3
Figure 3
BluIceEPICS architecture. The streamlined BluIceEPICS applications are standard EPICS clients and are equal-rights players on the EPICS channel-access network. They can coexist with other EPICS clients as shown on the left.
Figure 4
Figure 4
Interaction of BluIce clients (two instances shown in the center) with external helpers.
Figure 5
Figure 5
Schematic implementation of on-the-fly scanning with PMAC controller and Struck scaler.
Figure 6
Figure 6
JBluIce Hutch tab.
Figure 7
Figure 7
JBluIce Sample tab.
Figure 8
Figure 8
JBluIce Collect tab with controls for data collection along a vector.
Figure 9
Figure 9
JBluIce Scan tab with controls for automatic scanning.
Figure 10
Figure 10
JBluIce Raster tab in the diffraction rastering mode.
Figure 11
Figure 11
JBluIce Screening tab.

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