Analysis software QuantCenter

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Overview
QuantCenter is a modular whole-slide image analysis platform designed for quantitative histopathology and molecular pathology workflows. The platform centralizes algorithmic modules and supports AI-driven segmentation and deep-learning modules to enable reproducible, high-precision quantification across single and multi-slide studies.

Main capabilities
QuantCenter provides customizable analysis pipelines, batch processing for multiple slides, server-side execution for high-throughput workflows, and integrated visualization for inspecting and exporting results. It is intended for research and clinical study environments where reproducibility and traceability are required.

Combinable modules and tools

• HistoQuant — identifies stained tissue elements based on color and intensity features
• PatternQuant — trainable pattern recognition module for tissue classification and pre-segmentation
• PatternQuant Plus — enhanced PatternQuant using deep learning for complex tissue segmentation
• NuclearQuant — cell nuclei detection and quantification for IHC-stained samples
• MembraneQuant — detects cell membranes and quantifies membrane-stained samples
• CellQuant — versatile cell detection for various IHC stainings (e.g., Ki67)
• DensitoQuant — stain-intensity-based IHC quantification tool
• FISHQuant — quantifies FISH signals on tissue samples of solid tumors
• CISHQuant — quantifies CISH-stained samples
• DNA Break Quant — quantifies double-strand DNA breaks by detecting γH2AX foci in immunofluorescence-stained nuclei
• ScriptQuant — allows users to run custom image analysis algorithms within the QuantCenter framework
• SimpleSlideInterface — provides easy access to slide-related data for custom application development
• QuantServer — executes processing and stores analysis results on a dedicated server
• BatchAnalysis-ProcessingQueue — background processing queue allowing multiple slides to be examined simultaneously
• Data Visualization (DVT) — integrated visualization modes such as tables, scatterplots, pie charts, and histograms for intuitive interpretation

Additional notes
QuantCenter's architecture is scalable from small-scale research projects to high-throughput clinical studies. Server-side processing centralizes computations and results, and exported outputs support reporting and collaboration. The modular framework allows adaptation to specific workflows and specialized quantification tasks.

Technical specifications

• Modular framework with combinable quantification modules
• Customizable AI-driven segmentation and deep-learning-based modules
• Multi-slide batch processing via BatchAnalysis-ProcessingQueue
• Server-based processing and centralized result storage with QuantServer
• Integrated data visualization: tables, scatterplots, pie charts, histograms
• Integration with SlideManager for streamlined slide workflow execution
• Supports a wide range of whole-slide image formats
• Script execution support for custom algorithms (ScriptQuant)
• Designed for reproducible, high-precision whole-slide quantification in histopathology and molecular pathology
• Scalable architecture suitable for research and clinical applications