Multiplexed protein imaging
Imaging mass cytometry data analysis
Around forty proteins per image at single-cell resolution, analyzed with methods proven in published IMC studies.
What Imaging mass cytometry measures
Imaging mass cytometry labels tissue with metal-tagged antibodies and ablates it with a laser, pixel by pixel, measuring the metals by mass spectrometry. Around 40 protein markers can be imaged simultaneously at about 1 µm resolution, without tissue autofluorescence or spectral overlap between channels.
Strengths
- Around 40 markers in a single acquisition
- No autofluorescence and minimal channel spillover
- Quantitative signal well suited to single-cell phenotyping
- Works on FFPE tissue
How we can help with Imaging mass cytometry data
MCD processing
Converting raw MCD files, hot-pixel filtering and channel QC.
Segmentation
StarDist and machine-learning segmentation tuned to IMC images.
Phenotyping
Thresholding, clustering and UMAP to define immune and tissue cell types.
Tissue compartments
Annotating structures such as glomeruli and tubules for compartment-level analysis.
Spatial statistics
Colocalization, neighbourhoods and immune clustering patterns.
Classifiers
Machine-learning models linking cellular features to clinical outcomes.
Related technologies
Working with Imaging mass cytometry data?
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