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bio-imaging-mass-cytometry-cell-segmentation

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Cell segmentation from multiplexed tissue images. Covers deep learning (Cellpose, Mesmer) and classical approaches for nuclear and whole-cell segmentation. Use when extracting single-cell data from IMC or MIBI images after preprocessing.

When to use

• Cell segmentation from multiplexed tissue images
• Deep learning segmentation with Cellpose
• Deep learning segmentation with Mesmer
• Classical approaches for nuclear segmentation
• Classical approaches for whole-cell segmentation
• Extracting single-cell data from IMC images
• Extracting single-cell data from MIBI images
• Pipeline-based segmentation with steinbock

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