Report immune cell frequencies across populations and subsets.

For your clinical trial, Teiko gates multi-parameter cytometry into the immune populations and functional subsets your protocol needs, then reports each as a frequency of each possible ancestor, not just its parent.

Start a project What are immune cell frequencies? →

The process

Define the gating tree

Lock populations and subsets to your endpoints and comparison plan.

Run the qualified panel

TokuKit-fixed whole blood or PBMC on mass or spectral cytometry.

Review frequencies on the dashboard

Boxplots, group differences, and longitudinal change for every gate.

From panel to frequency tables.

Agree the gates once, then report % of parent consistently across subjects and visits.

Agree the analysis plan

Parent gates, children, and functional subsets tied to your endpoints.

Learn about panel development →

Process specimens

Qualified workflow with documented precision and stability windows.

Gate consistently

Same tree applied across subjects and timepoints.

Report % of parent

Each population as a share of its defined parent.

Explore in the app

Immune Boxplot, Immune Differences, and Immune Changes Over Time.

What a frequency tells you.

A frequency answers: of this parent compartment, what share is this population? It is the right unit for composition, lineage balance, and many biomarker cutoffs. Pair frequencies with absolute counts when parent size itself may change under treatment. Pair with marker expression or antigen density when the question is how much target sits on the cells, not only how many cells are in the gate.

Askof this parent, what share is this population?

Pairwith absolute counts when parent size may change.

Pairwith marker expression or antigen density for target biology.

Frequency of parent

% of parent · composition and lineage balance

Illustrative figure placeholder from template; replace with frequency visuals later.

See frequencies with your data.

Compare cohorts and dose levels on every gated population. Follow each subject across visits. Export tables that match the gates in your statistical analysis plan.

Compare cohorts and dose levels

See how every gated population shifts across arms and groups.

PD-1 antigen density across disease groups

Follow subjects across visits

Export tables that match the gates in your statistical analysis plan.

PD-1 antigen density across treatment timepoints for one patient

Frequencies reported as % of parent. Dashboard figure placeholders retained from template.

Explore the dashboard →

Frequencies inform clinical decisions.

Immune cell frequencies support many translational questions. Here are three ways teams put them to work.

Map immune composition

See how lineages and subsets shift across arms and timepoints.

Support response biomarkers

Test frequency cutoffs against clinical outcomes.

Anchor companion metrics

Use the same gates for absolute counts, marker expression, and antigen density so every readout shares one tree.