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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier
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Mitigation of microtiter plate positioning effects using a block randomization scheme.

Christopher Roselle1, Thorsten Verch2, Mary Shank-Retzlaff1

  • 1Merck & Co., Inc., 770 Sumneytown Pike, P.O. Box 4, West Point, PA, 19486, USA.

Analytical and Bioanalytical Chemistry
|April 27, 2016
PubMed
Summary

A novel block-randomized plate layout effectively reduces positional bias in microtiter plate assays. This method improves data reliability and reduces imprecision in assays like the enzyme-linked immunosorbent assay (ELISA).

Keywords:
ELISAMicrotiter plate biasPositional effectsRandomisationRelative potency assay

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Assay Development

Background:

  • Microtiter plate assays are widely used in labs but suffer from positional bias, affecting data reliability.
  • Existing mitigation strategies are often complex, partially effective, and reduce assay throughput.

Purpose of the Study:

  • To develop a novel strategy to effectively reduce positional bias in microtiter plate assays.
  • To improve the accuracy and reliability of assay results.

Main Methods:

  • Development of a novel block-randomized plate layout.
  • Coordination of specific curve regions into pre-defined blocks based on assay bias assumptions.
  • Application and validation in a sandwich enzyme-linked immunosorbent assay (ELISA) for vaccine release.

Main Results:

  • Demonstrated a mean bias reduction in relative potency estimates from 6.3% to 1.1%.
  • Decreased imprecision in relative potency estimates from 10.2% to 4.5% coefficient of variation (CV).
  • Simulations confirmed the impact of assay bias on measurement confidence.

Conclusions:

  • The block-randomized plate layout is a highly effective strategy for mitigating positional bias in microtiter plate assays.
  • This approach enhances data reliability and precision, with potential applications in various plate-based assays.
  • The method offers a more efficient alternative to traditional bias mitigation techniques.