Assay Optimization: A Statistical Design of Experiments Approach

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• 作者：Maneesha Altekar ; PhD^a ; Carol A. Homon ; MS^b ; Mohammed A. Kashem ; PhD^b ; Steven W. Mason ; PhD^b ; Richard M. Nelson ; PhD^b ; Lori A. Patnaude ; MS^b ; Jeffrey Yingling ; PhD^c ; Paul B. Taylor ; MS^b ; ^{ptaylor2@rdg.boehringer-ingelheim.com}
• 刊名：Clinics in Laboratory Medicine
• 出版年：2007
• 出版时间：March 2007
• 年：2007
• 卷：27
• 期：1
• 页码：139-154
• 全文大小：893 K

文摘

With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments. When implemented, they can efficiently optimize assays by rapidly identifying significant factors, complex interactions, and nonlinear responses. This article focuses on the use of statistically designed experiments in assay optimization.