Potter C S, Chu H, Frey B, Green C, Kisseberth N, Madden T J, Miller K L, Nahrstedt K, Pulokas J, Reilein A, Tcheng D, Weber D, Carragher B
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign 61801, USA.
Ultramicroscopy. 1999 Jul;77(3-4):153-61. doi: 10.1016/s0304-3991(99)00043-1.
We have developed a system to automatically acquire large numbers of acceptable quality images from specimens of negatively stained catalase, a biological protein which forms crystals. In this paper we will describe the details of the system architecture and analyze the performance of the system as compared to a human operator. The ultimate goal of the system if to automate the process of acquiring cryo-electron micrographs.
我们开发了一种系统,用于从负染色过氧化氢酶(一种能形成晶体的生物蛋白质)的样本中自动获取大量质量合格的图像。在本文中,我们将描述该系统架构的细节,并与人工操作员相比分析该系统的性能。该系统的最终目标是实现冷冻电子显微照片获取过程的自动化。