The flow cytometry core facility at a leading biopharma faced complex data challenges. Scientists struggled with data curation, while facility staff had difficulty monitoring instrument performance. Both groups needed more efficient ways to manage and analyze their data.
Tetra Sciborgs provided a way forward. They helped optimizing flow cytometry workflows with a science-led approach that combines the Tetra Scientific Data and AI Cloud™, deep domain expertise, and a library of scientific use cases and supporting artifacts.
With the help of our Sciborgs, the biopharma was able to:
- Redirect scientists’ time spent on manual data processes to more valuable work
- Collect and engineer data automatically in the cloud for rapid search and analysis
- Visualize and trend instrument calibration data, enabling predictive maintenance
- Recover over $50,000 per year through time savings
