Najmabadi Peyman, Goldenberg Andrew A, Emili Andrew
Robotics and Automation Laboratory, Department of Mechanical and Industrial Engineering, 5 King's College Road, M5S3G8, University of Toronto, Toronto, Ontario, Canada.
Clin Lab Med. 2007 Mar;27(1):1-28. doi: 10.1016/j.cll.2006.12.012.
Development of flexible laboratory automation systems has attracted tremendous attention in recent years as biotechnology scientists perform diverse types of protocols and tend to continuously modify them as part of their research. This article is a system level study of hardware flexibility of laboratory automation architectures for high-throughput automation of various sample preparation protocols. Hardware flexibility (system components' adaptability to protocol variations) of automation systems is addressed through the introduction of three main parametric flexibility measures functional, structural, and throughput. A new quantitative measurement method for these parameters in the realm of the Axiomatic Theory is introduced in this article. The method relies on defining probability of success functions for flexibility parameters and calculating their information contents. As flexibility information content decreases, automation system flexibility increases.
近年来,随着生物技术科学家执行各种类型的实验方案,并倾向于在研究过程中不断修改这些方案,灵活的实验室自动化系统的开发引起了极大关注。本文是对用于各种样品制备方案高通量自动化的实验室自动化架构的硬件灵活性进行的系统级研究。自动化系统的硬件灵活性(系统组件对方案变化的适应性)通过引入功能、结构和吞吐量这三个主要参数灵活性度量来解决。本文介绍了一种在公理理论领域中针对这些参数的新定量测量方法。该方法依赖于为灵活性参数定义成功函数的概率并计算其信息内容。随着灵活性信息内容的减少,自动化系统的灵活性增加。