Visualization management and analysis system QuantCenter

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Overview
QuantCenter provides modular whole-slide image analysis for quantitative assessment in histopathology and molecular pathology. The platform is built as a framework of linkable, customizable modules rather than a single monolithic tool, enabling targeted workflows for research and clinical studies. QuantCenter supports AI-based segmentation, deep-learning models, multi-slide batch processing, server-side execution and integrated visualizations to facilitate interpretation of results.

Integrated modules and capabilities

• HistoQuant — identifies stained tissue elements using color and intensity features.
• PatternQuant — trainable pattern-recognition module for tissue classification and pre-segmentation.
• PatternQuant Plus — deep-learning enhanced module for complex tissue segmentation.
• NuclearQuant — detects and quantifies cell nuclei in IHC-stained samples.
• MembraneQuant — detects cell membranes and performs quantification on IHC-stained histological samples.
• CellQuant — versatile cell-detection application suitable for various IHC stainings, including Ki67.
• DensitoQuant — stain-intensity-based IHC quantification tool for straightforward scoring.
• FISHQuant — quantifies FISH signals on tissue samples from solid tumors.
• CISHQuant — quantification module for CISH-stained samples.
• DNA Break Quant — measures double-strand DNA breaks by detecting γH2AX foci in immunofluorescence-stained nuclei.
• ScriptQuant — runs custom image-analysis algorithms within the QuantCenter framework.
• SimpleSlideInterface — exposes slide-related data for custom application development.
• QuantServer — executes processing and stores analysis results on a dedicated server for scalable, centralized processing.
• BatchAnalysis-ProcessingQueue — enables background processing of multiple digital slides to increase throughput.
• Data Visualization (DVT) — integrated visualization modes including tables, scatterplots, pie charts and histograms for reporting and interpretation.

Integration and workflow
QuantCenter integrates with SlideManager to streamline execution of analyses on study samples. The modular architecture allows selection and combination of specialized tools per project, and supports server-side processing for scalable laboratory and clinical workflows.

Quantification examples
Demonstrated use cases include endothelial-cell quantification, epithelium analysis, tumor nuclei classification, Golgi-stained neuron network detection and multiple IHC/FISH/CISH workflows illustrating module applicability across diverse tissues and stains.

Technical specifications

• Whole-slide image analysis platform with modular architecture.
• Customizable AI-driven segmentation and deep-learning modules.
• Support for IHC, immunofluorescence (IF), FISH and CISH quantification workflows.
• BatchAnalysis-ProcessingQueue for background multi-slide processing.
• QuantServer for dedicated server-side processing and centralized result storage.
• Integrated Data Visualization: tables, scatterplots, pie charts, histograms.
• Script integration via ScriptQuant for custom algorithms.
• Integration with SlideManager to streamline slide-based workflows.
• Scalable for both small-scale research and high-throughput clinical studies.