Alexion, AstraZeneca Rare Disease, needed a technology partner to streamline a bioprocessing purification workflow so they could advance their analytics capabilities and transform the lives of patients with rare diseases.
TetraScience successfully developed an automated, FAIR-data powered (findable, accessible, interoperable, reusable), analytics-enabled FPLC workflow that significantly improves time-to-insight and throughput for their downstream laboratory.
Read the case study to find out how TetraScience helped Alexion:
- Decrease time-to-insight from 1 week to 1 day
- Reallocate ~5000 hours per year to higher value work
- Increase FPLC throughput
- Create the lab’s first centralized, searchable, cloud data store
- Eliminate the operating costs associated with retrieving difficult-to-find data
