For your clinical trial, Teiko reports how strongly each gated population expresses the markers in your assay. Use expression to see activation, exhaustion, lineage identity, and treatment-driven shifts on the cells you already enumerate.
Snap targets into a Teiko backbone or CLIA assay.
Qualified mass or spectral cytometry workflow.
Per population, per marker, across groups and time.
Same gating tree as frequencies and absolute counts, with intensity summaries per marker.
Documented precision so small shifts are interpretable.
Same tree used for frequencies and absolute counts.
Intensity metrics per marker within each population.
Groups, visits, and subjects on one dashboard.
Track activation and exhaustion markers inside each population. Compare expression between responders and nonresponders. Follow expression trajectories for the same subjects over time.
See how marker intensity differs inside each gated population.

Compare expression between responders and nonresponders, and follow the same subjects over time.

AREG expression boxplots from the Teiko dashboard (UMN002 demo): CD4+ T Naive and AREG+ CD4+ T Naive.
Explore the dashboard →Marker expression supports many translational questions. Here are three ways teams put it to work.
Frequencies say who is present. Expression says how those cells look biologically.
See whether treatment changes PD-1, activation, or lineage markers on the intended populations.
When a marker becomes a drug target question, graduate that marker to a calibrated density assay.
Share the markers and sample type you're working with, and our scientists will help design the right assay with you.