Pathology & open-source tools
Digital pathology and whole-slide image analysis
Objective, reproducible measurements from H&E, IHC and whole-slide images, including data from HALO or Visiopharm.
What Digital pathology (H&E, IHC) measures
Brightfield whole-slide images remain the foundation of pathology. H&E shows tissue architecture, chromogenic IHC adds specific protein markers, and multiplex brightfield combines several. Quantitative image analysis turns these slides into objective measurements of cells, structures and staining.
Strengths
- Large archives of existing slides ready for retrospective studies
- Directly connected to clinical pathology
- AI models can segment tissue and cells at scale
- Low cost per sample compared with spatial omics
How we can help with Digital pathology (H&E, IHC) data
Tissue and cell segmentation
Deep learning detection of cells, nuclei and tissue structures.
IHC quantification
H-scores, positive-cell fractions, densities and DAB intensity.
Custom AI models
Classifiers for tissue regions, structures or cell types, trained on your data.
HALO and Visiopharm data
Re-analysing or extending results from proprietary platforms in open tools.
Spatial gradients
Distance-to-vessel and gradient analyses, such as hypoxia and proliferation.
Format conversion
Converting proprietary slide formats into open formats.
Related technologies
Working with Digital pathology (H&E, IHC) data?
Tell us about your samples, panel and question. The first consultation is free.