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quality-metrics

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Quality control for IMC/MIBI data across pixel, channel, image, slide, and batch levels, covering Poisson-count SNR (cell-level Gaussian-mixture and empty-channel comparison), spillover-matrix QC (the three physical sources), drift and the missing EQ-bead analog, acquisition artifacts, and sample-of-origin batch effects. Use when deciding whether to keep or drop a channel, ROI, or slide, distinguishing a dim antibody from a failed one, reading a spillover matrix, or diagnosing batch-driven clustering before analysis.

When to use

• IMC/MIBI data quality control
• Poisson-count SNR assessment
• Spillover-matrix QC
• Drift and acquisition artifact diagnosis
• Sample-of-origin batch effect analysis
• Channel, ROI, or slide gating decisions
• Distinguishing dim antibodies from failed ones
• Diagnosing batch-driven clustering

When not to use

• SUSPENSION bead normalization
• Applying CATALYST normCytof to image data

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