Dec 15

Can we consign “The Edge Effect” to history?

We can waste about 40% of multi-well plates to avoid biasing the relative potency (RP) due to “the edge effect”.  Quantics recently used a Latin square design to support a batch release assay designed to eliminate variation across the whole assay plate.   This design allowed row and column effects to be identified, and correctly accounted for in the estimation of reportable values, avoiding any assay bias.  The assay data clearly demonstrated that row and column effects are sometimes seen and most importantly can be managed.  In this presentation we will describe the Latin square and explain how similar, more practical designs can be used in a typical multi-well plate assay to overcome these issues and maximise the efficiency of the assay. We will show the results of a simulation study demonstrating the extent of estimation bias which can be avoided using this technique.


Get all our latest news delivered straight to your inbox.

By Checking the above you accept we may send you relevant information by email.


Share on activity feed

Powered by WP LinkPress

About The Author

Company Founder and Director of Statistics – With a degree in mathematics and Masters in statistics from Oxford University, and a PhD in Statistics from Waterloo (Canada), Ann has spent her entire professional life helping clients with statistical issues. From 1991-93 she was Head of the Mathematics and Statistics section of Shell Research, then joined the Information and Statistics Division of NHS Scotland (ISD). Starting as Head and Principal Statistician of the Scottish Cancer Therapy Network within ISD, she rose to become Assistant Director of ISD before establishing Quantics in 2002. Ann has very extensive experience of ecotoxicology, medical statistics, statistics within a regulatory environment and bioassay.