Home › Analytical Chem › Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
Analytical Chem JoVE (Open Access) Citable · DOI

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

DOI: 10.3791/60525-v
What you'll learn
  • ✓ Apply FlowSOM and Cytosplore clustering algorithms to mass cytometry data
  • ✓ Visualize and compare clustering results using Cytofast
  • ✓ Quantitatively assess differences between clustering method outputs
Protocol

Cytofast is a visualization tool used to analyze output from clustering. Cytofast can be used to compare two clustering methods: FlowSOM and Cytosplore. Cytofast can rapidly generate a quantitative and qualitative overview of mass cytometry data and highlight the main differences between different clustering algorithms.

Difficulty
advanced
Total time
~2–4 hours per dataset (clustering + visualization)

Steps

1
Generate clusters using FlowSOM and Cytosplore

Apply upstream clustering methods FlowSOM and Cytosplore to high-dimensional mass cytometry data to partition cells into distinct populations.

▶ 00:49
2
Post-process and prepare clustering outputs

Clean, normalize, and format clustering results from both algorithms for downstream visualization and comparative analysis.

▶ 03:30
3
Visualize and analyze data with Cytofast

Use Cytofast to generate quantitative and qualitative overviews of mass cytometry data, highlighting key differences between FlowSOM and Cytosplore clustering outcomes.

▶ 04:18
💬 Comments coming soon