METHODS OF ANALYSIS OF PROTEIN CRYSTAL IMAGES
METHODS OF ANALYSIS OF PROTEIN CRYSTAL IMAGES
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DOI：
10.1016/0022-0248(91)90878-9
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发表时间：
1991-03-01
影响因子：
1.8
通讯作者：
WARD, KB
中科院分区：
文献类型：
--
作者：
ZUK, WM;WARD, KB
几种蛋白质结晶技术，包括气相扩散法，都很适合自动化技术。 到目前为止，自动化技术仅限于建立结晶实验，并且还没有开发出监控和分析实验的程序。 这些程序需要额外的硬件来监控结晶室和自动识别蛋白质晶体。 自动图像采集和分析系统利用图像处理例程和模式识别程序。 为了设计和实现这样一个系统，我们目前正在开发的算法，可以识别和定位蛋白质晶体的结晶液滴的视频图像。 结晶实验的图像被获取并数字化，液滴图像的分析在微型计算机上进行，该微型计算机也充当我们实验室机器人系统的主机。 我们在这里描述我们目前的进展，在设计的图像分析系统，包括适当的模式识别方法的发展。 此外，有用的各种模式识别计划监测结晶的进展进行了探讨。
Several protein crystallization techniques, including the vapor diffusion method, lend themselves well to automation techniques. Up unitl the present time, automation techniques have been restricted to setting up crystallization experiments, and procedures to monitor and analyze the experiments have not been developed. These procedures require additional hardware for video monitoring of crystallization chambers and automatic recognition of protein crystals. An automated image acquisition and analysis system makes use of both image processing routines and pattern recognition procedures. In order to design and implement such a system, we are presently developing algorithms which can recognize and locate protein crystals in video images of crystallization droplets. Images of crystallization experiments are acquired and digitized, and analyses of the droplet images are conducted on the microcomputer which also acts as a host in our laboratory robotics system. We describe here our current progress in designing the image analysis system, including the development of appropriate pattern recognition methods. In addition, the usefulness of various pattern recognition schemes for monitoring the progress of crystallization is explored.