Flow Cytometry

Accelerate and improve biologics screening by flow cytometry 

Discover how to screen higher-quality biologics in less time


screening throughput


faster data preparation

AI-native data

for in silico modeling

Automated processes

Connect all data sources and targets seamlessly, boosting speed and data quality

Intuitive dashboards

Visualize and annotate large data sets with ease, facilitating downstream use

Ready for AI

Improve the binding affinity and specificity of protein therapeutics with AI/ML

Labor-intensive processes

Manual handling, gating, and QC of flow cytometry data is slow and error prone

Lack of context

Raw flow cytometry data, without metadata, is difficult to search and analyze

Dead-end datasets

Data architecture is unfit for AI/ML, limiting the speed and accuracy of cytometry analysis

Unlock the full value of your flow cytometry data


Collect and centralize data from flow cytometers and send to downstream targets


Explore cytometry data with visualization/analytics tools for rapid QC and insights


Contextualize and harmonize the data for search and analytics/AI


Use the data to build in silico models and predict how biologics will behave

Get a demo

Streamlined flow cytometry for antibody screening

A leading biopharma company looked to increase the throughput of its antibody screening method by streamlining the scientific data workflow. Learn how TetraScience helped accelerate and improve lead identification.