- Inadequate personnel and data tools to measure individual animals daily
- Pooling experimental design meant collecting average weight across the cohort
- 100 animals per experiment needed to elevate signal above background noise
- Automated tracking of individual animals without additional personnel effort
- Background noise significantly reduced
- Number of animals needed per experiment reduced from 100 to 20
About the Project
Using Riffyn Nexus, an animal nutrition company was able to reduce the number of animals used in experimental trials by 80%, not only a significant savings in animal husbandry labor and feed, but also the elimination of unnecessary use of animals. Here’s how they did it, and how you can use the same digital transformation approach to increase the statistical power of your own animal experiments.
Our customer was testing the effects of a probiotic product on weight gain in an animal model. To accurately assess probiotic performance, identify sources of variation, and understand the consequences of cross-animal differences, daily measures of each animal in the study were required. However, our customer did not have adequate personnel or data tools to perform such measurements.
This necessitated a “pooling” experimental design, where test animals were split into pens and the response of each pen was measured. Instead of measuring per animal weight gain, our customer averaged weight gain across all pens. This experimental approach lead to considerable unproductive effort. To elevate the averaged signal above background noise, our customer was forced to use 100 animals per experiment.
The Riffyn Nexus Solution
In just a few weeks’ time, the Riffyn Science team completely digitized our customer’s data collection process, including automatic generation of unique animal identifiers. This enabled unique tracking of individual animals without any additional personnel effort — and because the animals were now measured individually, experimental variations could be statistically analyzed and ultimately controlled. This meant significant improvements in data quality and better results with less effort and fewer animals. With Riffyn Nexus, data was aggregated, contextualized, and formatted for statistical analysis in a matter of minutes.
Ultimately, our customer identified significant signals from their data with only 20 animals — an 80% reduction in animal use — a huge savings time, money, and animals.
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