title: Assay optimization: a statistical design of experiments approach.
abstract: 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.
authors.affiliation: Hercules, 1313 North Market Street, Wilmington, DE 19894-0001, USA.
authors.forename: Maneesha
authors.initials: M
authors.lastname: Altekar
authors.forename: Carol A
authors.initials: CA
authors.lastname: Homon
authors.forename: Mohammed A
authors.initials: MA
authors.lastname: Kashem
authors.forename: Steven W
authors.initials: SW
authors.lastname: Mason
authors.forename: Richard M
authors.initials: RM
authors.lastname: Nelson
authors.forename: Lori A
authors.initials: LA
authors.lastname: Patnaude
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Yingling
authors.forename: Paul B
authors.initials: PB
authors.lastname: Taylor
mesh_terms: D001331:Automation; D001681:Biological Assay / Q000379:methods*; D003627:Data Interpretation, Statistical; D007091:Image Processing, Computer-Assisted; D015203:Reproducibility of Results; D012107:Research Design