Panel Design
Pair fluorophore brightness with antigen expression to maximise marker resolution
Minimise spectral overlap and spreading error to improve population separation
Incorporate a viability dye for accurate discrimination of live and dead cells
Staining Optimisation
Titrate antibodies and dyes to define optimal concentrations and resolution
Optimise staining conditions, including incubation time, temperature and fixation protocols
Standardise staining workflows to ensure reproducibility
Sample Preparation
Apply a consistent staining protocol across all samples
Include appropriate controls, such as non-stained, FMO and biological controls
Prepare single-stained controls for accurate compensation or spectral unmixing
Sample Acquisition
Perform daily instrument QC to ensure reproducibility across runs
Optimise detector settings and verify compensation or spectral unmixing
Acquire sufficient events to enable robust analysis of target and potential rare cell populations
Data Analysis
Data QC: Signal assessment, debris removal, doublet exclusion and live-cell gating
Population identification: Traditional gating or high-dimensional analysis
Control-guided analysis: Use FMOs and biological controls to optimise gate setting and ensure confidence in population identification
Output
Population visualisations (dot plots, histograms, tSNE, and UMAP), quantitative summaries and publication-ready figures
Results presented as plots, charts or statistical tables, showing population frequencies, cell counts and marker expression (MFI)
Phase 1 - Panel Design
Pair fluorophore brightness with antigen expression to maximise marker resolution
Minimise spectral overlap and spreading error to improve population separation
Incorporate a viability dye for accurate discrimination of live and dead cells
Phase 2 - Staining Optimisation
Titrate antibodies and dyes to define optimal concentrations and resolution
Optimise staining conditions, including incubation time, temperature and fixation protocols
Standardise staining workflows to ensure reproducibility
Phase 3 - Sample Preparation
Apply a consistent staining protocol across all samples
Include appropriate controls, such as non-stained, FMO and biological controls
Prepare single-stained controls for accurate compensation or spectral unmixing
Phase 4 - Sample Acquisition
Perform daily instrument QC to ensure reproucibility across runs
Optimise detector settings and verify compensation or spectral unmixing
Acquire sufficient events to enable robust analysis of target and potential rare cell populations
Phase 5 - Data Analysis
Data QC: Signal assessment, debris removal, doublet exclusion and live-cell gating
Population identification: Traditional gating or high-dimensional analysis
Control-guided analysis: Use FMOs and biological controls to optimise gate setting and ensure confidence in population identification
Phase 6 - Output
Population visualisations (dot plots, histograms, t-SNE, and UMAP), quantitative summaries and publication-ready figures
Results presented as plots, charts or statistical tables, showing pupulation frequencies, cell counts and marker expression (MFI)