QuantServer is a distributed image processing server designed for high-throughput digital pathology. It enables multi-slide analysis, batch processing, and image normalization, integrating seamlessly with QuantCenter and SlideManager for scalable, parallel workflows in large-scale research and AI-driven pathology applications
Key features
Distributed Image Processing & Batch Analysis
Processes thousands of slides simultaneously, reducing client-side computing requirements.
Supports multi-user environments, enabling parallel workflows without system slowdowns.
Performs batch processing to analyze multiple slides efficiently.
Seamless Integration with Digital Pathology Platforms
Works directly with QuantCenter for executing complex image analysis algorithms.
Integrated with SlideManager, enabling web-based project and slide management.
Advanced Slide Normalization & Preprocessing
Color normalization ensures consistent staining appearance across different sample preparations.
Supports H&E slide normalization to correct staining variations for more reliable quantification.
Customizable Analysis with User-Defined Profiles
Allows users to create custom workflows for image processing.
Saves and reloads user profiles for standardized, repeatable analysis workflows.
High-Speed Data Storage & Retrieval
Stores image analysis results centrally, making it easier to retrieve and compare datasets.
Supports CSV and XLSX export options for data analysis and reporting.
Web-Based User Interface for Remote Access
Accessible through SlideManager’s web interface, eliminating the need for client-side software installations.
Supports remote project execution and result management from any connected device.
Scalable Performance for AI and Deep Learning Applications
Optimized for large-scale AI-driven pathology research.
Can be used to train and execute deep-learning models for advanced tissue classification and quantification.
