In Phase 1/2 trials, ~75% of flow cytometry assays are custom-built. These custom assays face two challenges: proving that the marker can be detected reliably, and showing that the marker does not degrade with time.
After building a flow cytometry assay with Teiko, it is important to understand how it performs on biological samples (blood, PBMCs, or bone marrow) over time. The new Assay Stability tab shows how reproducible immune measurements are across paired timepoints for control samples, so you know your storage window with confidence.
In Assay Stability analyses, samples are compared across paired timepoints (typically baseline, t = 0) to measure changes over time. For each sample run, Assay Stability compares population frequencies, functional subset frequencies, and marker expression for changes from baseline. Each result is labeled stable, moderate, or variable.
Two views are available directly on the dashboard to assess stability. Heatmaps provide an overview of aggregated % difference from baseline across follow-up timepoints, and Bland-Altman plots show per-donor % difference for a chosen timepoint pair.
Assay Stability gives you data-backed confidence in your sample storage window. With it in hand, you can trust that reported immune changes in clinical samples are more than noise and focus on measurements that are truly moving. Having results live on the dashboard provides more insight into your assay and allows for customized analysis.
Available now for ongoing and future assay stability analysis projects.
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