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Process Optimization for Assays: A Framework for Controlling Variability and Optimizing Assay Performance
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"Process Optimization for Assays: A Framework for Controlling Variability and Optimizing Assay Performance"

Identify Easily Controlled Sources of Variability in Assays

There is a certain amount of variability inherent in the biology of assays, though some portion of the total may be due to non-biological, relatively easily controlled sources that should not be overlooked. Using process optimization during assay development can improve assay results beyond what can be achieved with a traditional approach. The streamlining and efficiencies that can be realized from such optimization can be significant, especially in such high throughput operations as COVID-19 testing.

The Artel whitepaper “Process Optimization for Assays: A framework for controlling variability and optimizing assay performance” details how to detect and address these factors. It offers a framework that details how pipetting, mixing, centrifuging, washing, and incubating steps all offer opportunities for minimizing controllable sources of variability. It also includes recommendations for optimizing each type of step in the assay process.


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