QuantaCell extracts reliable quantitative data from histological images, from whole-slide tissue structures to single-cell biomarker expression.

• Cells and nuclei and classification
  Detection, segmentation and classification of cells or nuclei based on morphology, staining intensity, marker expression or cell type.
• Tissue compartments
  Identification and quantification of tumor regions, stroma, skin layers, glomeruli or other relevant structures.
• Biomarker expression
  Measurement of IHC, IF or multiplex staining at the cell, tissue or region-of-interest level.
• Spatial organization
  Analysis of cell distribution, immune infiltration, proximity to tissue structures and cell–cell interactions.
• Tissue MicroArrays
  Automated detection, numbering and quantification of TMA cores.

These quantitative readouts can support multiple applications, from biomarker studies to tissue architecture and spatial analysis.

• Tumor microenvironment analysis
  Quantify immune infiltration, tumor–stroma organization and spatial relationships between cell populations.
• Biomarker quantification
  Measure protein expression, staining intensity and positive cell populations across tissue regions.
• Tissue architecture characterization
  Analyze tissue compartments, structural organization and disease-related morphological changes.
• Preclinical and translational research
  Compare tissue responses across treatments, cohorts, experimental models or patient samples.
• Digital pathology and biomarker studies
  Generate reproducible quantitative readouts from histology, IHC, IF or multiplex images.