http://www.labmed.theclinics.com/article/PIIS0272271207000029/abstract

Clinics in Laboratory Medicine Volume 27, Issue 1, Pages 139-154 (March
2007)




Assay Optimization: A Statistical Design of Experiments Approach
Maneesha Altekar, PhDa, Carol A. Homon, MSb, Mohammed A. Kashem, PhDb,
Steven W. Mason, PhDb, Richard M. Nelson, PhDb, Lori A. Patnaude, MSb,
Jeffrey Yingling, PhDc, Paul B. Taylor, MSb

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.

a Hercules, 1313 North Market Street, Wilmington, DE 19894-0001, USA

b Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, PO Box
368, Ridgefield, CT 06877, USA

c Aerie Pharmaceuticals, Inc., 7020 Kit Creek Road, Suite 270, PO Box 12320,
Research Triangle Park, NC 27709, USA