Know the starting state
Record the original cell before treatment while preserving its identity.
Oncology response & treatment resistance
The answer to resistance may begin before treatment itself.
Most assays reveal an outcome. VitraCell advances state-to-fate research that connects a living cell's starting state, its response to treatment and its eventual fate—so researchers can investigate what made the survivors different.
Start with your cell model, treatment question, current assay and the decision you need to make.

The question behind the endpoint
The VitraCell approach
Traditional endpoints tell researchers what remained. VitraCell’s ΔSR framework examines whether following the same living cell through treatment adds information worth acting on.
Record the original cell before treatment while preserving its identity.
Connect repeated observations to that same cell during a defined perturbation.
Compare its history with an independent outcome and, where feasible, molecular context.
Where it matters
We focus on cases where rare or heterogeneous cell behavior could change the next experiment.
Investigate the original states and early responses associated with treatment persistence and resistance.
Explore oncology →Examine functional heterogeneity in CAR-T, TCR-T, TIL and NK cell research.
Explore cell therapy →Our viable rare-cell acquisition program begins with label-free recovery of circulating tumor cells from blood.
Explore rare-cell acquisition →Grounded in scientific research
Peer-reviewed work on treatment resistance informs VitraCell’s focus on the history of the original living cell.
Work with VitraCell
A focused research engagement begins with your model, intervention, existing assay and decision—not a one-size-fits-all instrument.
Agree on the biological question, comparator and what a meaningful finding would look like.
Build a bounded feasibility plan with appropriate measurements, controls and independent endpoints.
Specify how the evidence would inform a follow-on experiment, refinement or stop decision.
Let’s investigate the missing information
Send us the cell model, treatment question and decision your team is trying to make.