AUTOMATED CRYSTAL QUEUING FOR DATA COLLECTION

用于数据收集的自动水晶排队

• 批准号: 8170005
• 负责人: IRIMPAN I MATHEWS
• 金额: $ 6.1万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170005
• 关键词: Computer Retrieval of Information on Scientific Projects Database; Data; Data Collection; Funding; Grant; Image; Institution; Movement; Process; Productivity; Research; Research Personnel; Resources; Rotation; Running; Sampling; Screening procedure; Source; Testing; Translations; United States National Institutes of Health; beamline; improved; indexing; success

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. In order to provide a completely automated process for collecting data from pre-screened crystals, the samples must be repositioned on the goniometer in an automated fashion. In an ideal setup, the users will be able to select good crystals during the screening, assign proper phi values for the data collection, and queue them for the data collection runs. If the users can select all good crystals during screening and set them for data collection, it will improve the beamline efficiency and users productivity. The movements of the crystal in the Hampton tong and other factors of the automated mounting process introduce various amounts of rotation and translation to the crystal between different mountings. Therefore, it is difficult to use the phi values (start and end phi for data collection) selected from the screening process after remounting of the sample. The success of the sample queuing process depends on how accurately the crystal can be repositioned during the second mounting. Repositioning of the sample using the diffraction images and video shots of the sample was explored. The phi shift between two mountings is predicted using the indexing information. Then, sample_x, sample_y, and sample_z translations between the two mountings are calculated by comparing video snapshots at the same phi value. If the space group introduce several equivalent phi values, further analysis of the video images are performed to predict the actual phi shift between the different mountings. Test of this approach indicate that the above analysis provides sufficient information for the queuing of the crystals during the automated screening process, guiding further developemnts.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 为了提供一个完全自动化的过程来从预筛分的晶体中收集数据，必须以自动化的方式将样品重新定位。在理想的设置中，用户将能够在筛选期间选择良好的晶体，为数据收集分配适当的PHI值，并为数据收集运行排队。如果用户可以在筛选过程中选择所有优质的晶体并将其设置为数据收集，则它将提高光束线效率和用户的生产率。 汉普顿汤（Hampton Tong）和自动安装过程的其他因素的晶体的运动引入了各种旋转和翻译，以转换到不同安装之间的晶体。 因此，在重新启动样本后，很难使用从筛选过程中选择的PHI值（用于数据收集的启动和结束PHI）。 样品排队过程的成功取决于在第二个安装过程中可以重新定位晶体的准确性。 探索了使用样品的衍射图像和视频镜头重新定位样品。使用索引信息预测两个安装之间的PHI偏移。 然后，通过比较以相同的phi值比较视频快照来计算两个安装之间的sample_x，sample_y和sample_z翻译。 如果空间组引入了几个等效的PHI值，则将对视频图像进行进一步的分析，以预测不同安装之间的实际PHI偏移。 对这种方法的测试表明，上述分析为自动筛选过程中的晶体排队提供了足够的信息，从而指导进一步发展宿舍。