Use cases for automated chromatography data collection

How to Increase Chromatography Data Value

Chromatography uses separations and spectroscopic methods to analyze the identity and purity samples. These measurements are critical to modern biopharma workflows, helping to accelerate drug discovery and development.

This white paper — Don't Delay Drug Discovery & Development — showcases how leading biopharma organizations deploy the Tetra Data Platform to automatically collect and harmonize high-throughput chromatography data.

We delve into 5 use cases. Here are the key takeaways:

TetraScience helped a pharma company aggregate characterization data from multiple systems on the same screen, leading to a faster understanding of the molecule.
TetraScience upgraded the process for system suitability tests (SST) for a pharma company. This enabled researchers to reduce time spent in manual data gathering and comparison.
TetraScience worked with a biotech firm to install a column monitoring system that enables searching and filtering across all chromatography runs.
TetraScience made it easier for a pharmaceutical company to report active pharmaceutical ingredient (API) stability and shelf-life estimates.
TetraScience helped organizations expedite analytical data for faster patent filing and complete post-patent steps such as stability testing.

Accelerating Drug Discovery and Development with TetraScience

TetraScience enhances the value of chromatographic data with data harmonization and access in the Tetra Science Data Cloud™. By providing reproducible, audit-friendly data analysis, Tetra also helps to speed up the discovery and development of new therapies.

Read our white paper for an in-depth look at how to make the most of your chromatography lab data.