Designed Experiments for Assay Optimization

Designed Experiments for Assay Optimization

In the Designed Experiments for Assay Optimization (DEAO) workshop, learn how to use DOE to develop new analytical procedures or to improve the precision and accuracy of existing techniques.

This class is only available as a private on-site workshop.


Designed Experiments for Assay Optimization (DEAO), 2 days, (1.6 CEU, In-House Only)

Customized DOE applications for the assay industry

Optimize your Assay

In the Designed Experiments for Assay Optimization (DEAO) workshop, learn how to use DOE to develop new analytical procedures or to improve the precision and accuracy of existing techniques. In just 2 days you will get an overview of the best DOE techniques available, while working through case studies that come directly from this field.

In this specialty class you will explore the use of fractional factorial designs for the screening and characterization of products or processes. You’ll also discover how to achieve maximum performance via response surface designs, mixture designs, and multiple response optimization. Practice applying all of these DOE tools while working through cases involving assay contaminants, assay optimization, PCR optimization, and more.

Stat-Ease's DOE experts are committed to helping you learn and are happy to provide you with individualized guidance and support after class to help you get started on your next project—at no extra cost!

The DEAO workshop provides a broad survey of the three major types of DOE designs—factorials, response surfaces, and mixtures. After completing the course you may want to further your education by attending one or more of Stat-Ease's core courses (EDME, RSM, MIX).

For supplemental reading on the DOE topics covered in DEAO, two fun and easy-to-read books, DOE Simplified and RSM Simplified, authored by Mark Anderson and Pat Whitcomb, are available for purchase.

Practice Makes Perfect

Use Design-Expert® software to practice designing and analyzing experiments throughout the workshop. The software provides easy-to-use graphical tools to find key variables and view results. You will be given a path to all simulation and data files used in class, which are posted to a special Internet site where you can also link to a free fully-functional, but time-limited, copy of Design-Expert software for use after class.

"A more balanced presentation of the practical and theoretical aspects of DOE would be hard to imagine..." 
—Ed Warner, Merck & Company

Course Outline

Day 1
Section 1
Introduction to Factorial Design
  • Brief description of factorial design
    • The factorial design planning process
  • Basics of factorial design (microwave popcorn)
    • Multiple response optimization
Section 2
Enhancements for Full Factorials
  • Replicated full factorial (mouse cell assay)
    • Explanation of power
  • 28full factorial (assay contaminants)
    • Blocking
Section 3
Fractional Factorials
  • Fractional factorials
    • 28-2 fractional factorial (assay contaminants)
    • Setup and aliases
  • Minimum-run resolution V (MR5) designs
      General Factorials
  • Immunofluorescent assay optimization
Day 2
Section 4
Introduction to Response Surface Design
  • Factorial with center points (bench assay)
  • Introducing Response Surface Methods “RSM”
  • Augmenting to central composite design “CCD”
  • “Good” response surface designs
  • Sizing for precision
Section 5
Response Surface Methodology
  • Instructor-led exercise (microwave digestion)
    • Building the design
    • Details of analysis
    • Optimization
Section 6
Advanced Techniques
User-Defined Response Surface
  • "Titration" curve (mouse cell assay revisited)
Split Plot
  • PCR optimization
Section 7
Introduction to Mixture Design
  • What makes a mixture?
  • Mixture (Scheffé) polynomials
  • Simplex lattice designs (low cost media)
  • Constrained mixture (moisture determination)
Section 8
Combined Mixture-Process Design
  • Reverse phase HPLC
  • Next steps
  • Optional exercise: optimize your assay


Math skills, knowledge of basic statistics, and exposure to simple comparative experiments (e.g. two-sample t-test) are recommended. If you aren't ready for the Designed Experiments for Assay Optimization workshop, take the online PreDOE course first (a $95 value you get for free! It takes 3-6 hours to complete. You can work at your own pace). Assess your abilities by first taking the free self-assessment questionnaire—which is available as a pre-test within the PreDOE course—at

Before attending class, please go through the One-Factor Tutorial, and then look at the One-Factor Self-Study presentation. You will find links to both below.

  1. One-Factor Tutorial
  2. One-Factor Self-Study

For more information, contact the Workshop Coordinator by e-mail or by calling 1.612.746.2038.

Additional Information

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Additional Information No