Immune profiling
Compare immune populations and marker profiles from laboratory-generated cytometry data.
Analyses are tailored to your experimental design, data quality and research question. The workflow and deliverables are agreed following project review.
Analysis modules
Acquisition quality assessment and reproducible preprocessing.
Transformation and review of supplied compensation/unmixing.
Gating strategy support and automated population clustering.
Marker-informed cluster annotation.
Population-frequency comparisons with sample-level replication.
Differential marker expression within populations.
Batch normalization where appropriate controls support it.
Data and metadata
FCS files; marker panel and channel mapping; compensation or unmixing information; controls, batches and sample annotations.
Proposed deliverables
Population annotations; marker heatmaps; cell-frequency tables; cohort comparisons and methodological notes.
Interpretation and feasibility
Do not reconstruct missing compensation or unmixing information by guesswork. Marker availability limits cell annotation, and the laboratory must review biological population definitions.
Methods and references
Methods, reference resources and software are selected for each project after protocol, feasibility and licence review. Applicable versions, references and interpretation limits are documented in the agreed workflow.