AUTOMATED SAMPLE MOUNTING SYSTEM

自动化样品安装系统

• 批准号: 8169217
• 负责人: MALCOLM S. CAPEL
• 金额: $ 5.93万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8169217
• 关键词: Automation; Computer Retrieval of Information on Scientific Projects Database; Data Collection; Data Set; Devices; Funding; Grant; Growth; Institution; Positioning Attribute; Protocols documentation; Research; Research Personnel; Resources; Robot; Safety; Sampling; Screening procedure; Source; System; Time; United States National Institutes of Health; detector; wasting

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. Most demanding crystallographic problems involve extensive screening studies to define optimal crystal growth protocols or to discover the best crystals from a batch of similar crystals for data collection. The time required to enter the endstation hutch mount a crystal, actuate the safety interlocks, close the hutch door and move the detector into position is more than half the time required to acquire an "average" data set. Remote sample mounting automation eliminates these logistical wastes and greatly increases the efficiency of data collection at undulator beam lines. We have redesigned and rebuilt the ALS pneumatic robot originally commissioned at 8-BM for compatibility and use on 24-ID-C. This device is fully operational and available to all users. The system effectively doubles the efficiency of the beam line in terms of number of data sets per unit time. Sample mounting robots will be built and installed on 2-ID-E and 24-BM-B.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 最苛刻的晶体学问题涉及广泛的筛选研究，以确定最佳的晶体生长方案或从一批相似的晶体中发现最好的晶体用于数据收集。 进入终端站箱、安装晶体、启动安全联锁、关闭箱门和将探测器移动到位所需的时间超过采集“平均”数据集所需时间的一半。 远程样品安装自动化消除了这些后勤浪费，并大大提高了波荡器光束线的数据收集效率。 我们重新设计和重建了最初在8-BM投入使用的ALS气动机器人，以兼容24-ID-C。 这一设备已全面投入使用，并可供所有用户使用。 该系统有效地使束线的效率在每单位时间的数据集数量方面加倍。 将在2-ID-E和24-BM-B上构建和安装样品安装机器人。