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bio-imaging-mass-cytometry-data-preprocessing - IMC Data Preprocessing Pipeline

Load and preprocess imaging mass cytometry (IMC) data with MCD/TIFF handling, hot pixel removal, and normalization

Tags

Updated: 2026-03-26

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • load MCD files
  • remove hot pixels
  • crop channels
  • normalize images
  • convert MCD to TIFF
  • apply spillover correction
  • estimate spillover matrix
  • apply arcsinh transformation
  • create AnnData object
  • process batch images

Inputs

  • MCD files
  • panel CSV file
  • spillover matrix
  • Ilastik classifier

Outputs

  • TIFF images
  • probability maps
  • AnnData object
  • processed images

Requirements

  • Python 3.8+
  • steinbock
  • readimc
  • Ilastik
  • anndata

Source

  • Spec: SKILL.md

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IMC
MIBI
mass cytometry
data preprocessing
image normalization
spillover correction
load MCD files
remove hot pixels
crop channels
normalize images
MCD files
panel CSV file
spillover matrix
TIFF images
probability maps
AnnData object