skills/smithery.ai/bio-imaging-mass-cytometry-phenotyping

bio-imaging-mass-cytometry-phenotyping

Installation
SKILL.md

Version Compatibility

Reference examples tested with: FlowSOM 2.10+, anndata 0.10+, matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scanpy 1.10+, scikit-learn 1.4+

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Cell Phenotyping for IMC

"Assign cell types to my segmented IMC cells" → Classify cells based on protein marker expression using clustering, manual gating, or supervised classification approaches.

  • Python: scanpy.tl.leiden() for unsupervised clustering, then manual annotation
  • R: FlowSOM for self-organizing map-based phenotyping

Load Single-Cell Data

Installs
1
First Seen
Mar 29, 2026
bio-imaging-mass-cytometry-phenotyping from smithery.ai