...promotes efficient Screen Development by providing a unique implementation of Design Of Experiments(DOE) methods. These widely used statiscal methods offer cost-effective optimization of multi-factor processes by using Analysis Of Variance(ANOVA) and Linear Model techniques for the experimental analysis of measured responses to well-understood designs.

In DOE, the typical approach is to use Fractional Factorial Designs to identify important factors for further optimization using the more resource intensive Response Surface Designs.

DesignAble provides plate-based templates to facilitate experimental setup and offers designs for up to ten experimental factors. Complete graphical analyses commonly used in DOE are easily accessed through a single, simple dialog-based interface.

Multiple Response analyses are provided to allow for time course, blocked or dose response data sets. A utility for transforming selected responses and / or fitting alternative models to them is also included.

At ScreenAble Solutions, we believe the application of the proven techniques of DOE implemented in DesignAble are sure to help Screen Developers quickly identify and optimize the factors most relevant to their particular assay's performance. We offer expert consulting services in the use of DOE for screen development to our Customers.