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Article dans une revue

A geometrical approach for semi-automated crystal centering and in situ X-ray diffraction data collection

Abstract : High-throughput protein crystallography projects pushed forward the development of automated crystallization platforms that are now commonly used. This created an urgent need for adapted and automated equipment for crystal analysis. However, first these crystals have to be harvested, cryo-protected and flash-cooled, operations that can fail or negatively impact on the crystal. In situ X-ray diffraction analysis has become a valid alternative to these operations, and a growing number of users apply it for crystal screening and to solve structures. Nevertheless, even this shortcut may require a significant amount of beam time. In this in situ high-throughput approach, the centering of crystals relative to the beam represents the bottleneck in the analysis process. In this article, a new method to accelerate this process, by recording accurately the local geometry coordinates for each crystal in the crystallization plate, is presented. Subsequently, the crystallization plate can be presented to the X-ray beam by an automated plate-handling device, such as a six-axis robot arm, for an automated crystal centering in the beam, in situ screening or data collection. Here the preliminary results of such a semi-automated pipeline are reported for two distinct test proteins.
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Contributeur : Frank Thomas <>
Soumis le : jeudi 26 mai 2016 - 11:27:20
Dernière modification le : mercredi 14 octobre 2020 - 04:19:15

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Mohammad Yaser Heidari Khajepour, Hugo Lebrette, Xavier Vernede, Pierrick Rogues, Jean-Luc Ferrer. A geometrical approach for semi-automated crystal centering and in situ X-ray diffraction data collection. Journal of Applied Crystallography, International Union of Crystallography, 2013, 46 (3), pp.740-745. ⟨10.1107/S002188981301008X⟩. ⟨hal-01321754⟩



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