High-content imaging produces rich datasets, but managing them was a headache for bioengineers at a leading synthetic biology company. They relied on inefficient manual processes to prepare data from Agilent BioTek Gen5 software for analysis, reducing screening throughput and straining resources.
To overcome these hurdles, the company deployed the Tetra Scientific Data and AI Cloud, which automatically collects and engineers Gen5 data into AI-native datasets at scale.
Key results of the streamlined workflow:
- Increased screening throughput by up to 35%
- Reduced scientists’ hands-on time for plate reader runs by approximately 75%
- Decreased data processing time by over 50%
- Enhanced data completeness, consistency, and quality
- Enabled cross-analysis through significantly improved data accessibility and reliability
