High-Resolution Cellular Phenotyping for In-Depth Cell Population Characterization

data-rich insight

Characterizing the innate and adaptive immune cell populations is an essential step in the development of many therapies.

Our leading-edge flow cytometry platform allows you to quickly and accurately monitor specific subpopulations of interest and evaluate the impact of an agent (antigen, drug) on them.

At CellCarta, we deliver data that is comprehensive, insightful, and conclusive, allowing you to quickly move forward with your project.

Unparalleled Flow Cytometry Capabilities and Analysis for Cellular Phenotyping

Our scientists are flow cytometry specialists who understand your project’s objectives and what it takes to meet them. From beginning to end, our service will provide you with:

  • Expertise – in developing phenotypic assays for the identification and characterization of major cell lineages.
  • Assay customization – to obtain comprehensive data best adapted to your study goals.
  • Reliable analysis – delivered through complete data reports.
  • Rigorous quality control – in accordance with the relevant regulatory requirements (GCP, GLP, GCLP).

Precision Identification and Phenotyping for Deeper Cell Insight

With our state-of-the-art instrumentation and expert scientific team, we will provide you with a wealth of information – from a broad overview of many populations to a detailed picture of your specific cells of interest.

Our expertise in the design of complex multiparametric panels will allow you to look at all your markers of interest in a single assay and consequently optimize the use of your samples.

The wide range of applications of our platform includes:

  • Identification of all major cell lineages (TBNK, Treg, MDSC, etc.) and rare cell subsets (basophils, stem cells, antigen-specific cells, etc.)
  • Monitoring cell subsets with various flow panels including intracellular cytokine staining (ICS), phosphoflow, basophil activation test (BAT), and HLA-restricted multimers
  • Boolean analysis on main cell subsets to provide insightful phenotyping comparisons