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An Automated System for Cryo-Electron Microscopy Sample Preparation

机译:低温电子显微镜样品制备自动化系统

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摘要

Cryo-electron microscopy (CryoEM) is a procedure that has become popular for imaging radiation intolerant structures under electron microscopes. CryoEM involves maintaining the sample at cryogenic temperatures throughout the imaging process This has the effect of minimizing damage caused by the electron beam, and results in higher quality images than can be obtained through more traditional imaging methods. The preparation of samples for cryo-electron microscopy studies is currently a labor and time intensive process. Samples must be applied to an imaging substrate under tightly controlled environmental conditions, formed into a thin film, vitrified with liquid ethane, and placed into temporary storage under cryogenic conditions. The grid preparation process is very sensitive to procedural factors, thus the successful creation of viable samples depends on tightly controlling the conditions under which grids are prepared. Several devices which automate portions of the specimen preparation process are currently in use; however, these systems heavily rely on a human operator to function properly. This thesis describes a system that is capable of fully automating the sample preparation process. The resulting system minimizes the need for human input during specimen preparation, improves process control, and provides similar levels of environmental control. Testing shows that the resulting system is capable of preparing samples without human interaction.
机译:低温电子显微镜(CryoEM)是一种在电子显微镜下成像不耐辐射结构的方法。 CryoEM涉及在整个成像过程中将样品保持在低温下,这具有将电子束造成的损害降至最低的效果,并且与通过传统成像方法获得的图像相比,图像质量更高。制备用于低温电子显微镜研究的样品目前是费时费力的过程。样品必须在严格控制的环境条件下施加到成像基材上,形成薄膜,用液态乙烷玻璃化,然后在低温条件下暂时存放。网格准备过程对程序因素非常敏感,因此成功创建可行样本取决于严格控制准备网格的条件。目前正在使用几种使样品制备过程的一部分自动化的设备。但是,这些系统严重依赖人工操作才能正常工作。本文描述了一种能够完全自动化样品制备过程的系统。最终的系统可以最大程度地减少标本制备过程中对人工输入的需求,改善过程控制,并提供类似水平的环境控制。测试表明,所得系统无需人工干预即可制备样品。

著录项

  • 作者

    Thompson Zachary J.;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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