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Hospital AI platform QuantServermedical imagingfor histopathology laboratoriesfor medical research
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Characteristics
- Application domain
- for hospitals, medical imaging, for histopathology laboratories, for medical research
- Function
- data processing, image analysis, data management, machine learning, analysis
- Other characteristics
- web-based
Description
Product overview
Key features
Applications
Technical specifications
Key features
- Distributed multi-slide image processing and batch analysis enabling simultaneous processing of large slide sets and reducing client-side compute needs.
- Multi-user, parallel workflows that support concurrent analyses without system slowdowns.
- Integration with QuantCenter for execution of image analysis algorithms and with SlideManager for web-based project and slide management.
- Advanced preprocessing and slide normalization, including H&E color normalization to reduce staining variability across samples.
- User-defined analysis profiles: create, save and reload custom workflows for standardized, repeatable processing.
- Centralized high-speed storage of results with CSV and XLSX export for downstream analysis and reporting.
- Web-based access via SlideManager, enabling remote execution and result review without client installations.
- Scalable architecture optimized for AI and deep-learning workflows, suitable for training and executing tissue classification models.
Applications
- Large-scale research projects requiring batch and parallel slide analysis.
- AI-driven pathology workflows and training/execution of deep-learning models.
- High-throughput clinical or research laboratories with multi-user installations and centralized result management.
Technical specifications
- Product type: distributed image analysis server for digital pathology.
- Primary capabilities: simultaneous multi-slide processing, batch analysis, preprocessing and color normalization.
- Integrations: QuantCenter (analysis execution), SlideManager (web-based project and slide management).
- Data export formats: CSV, XLSX.
- User features: custom analysis profiles, save/reload workflows, multi-user parallel operation.
- Access: web-based interface via SlideManager for remote project execution and result management.
- Optimized for: large-scale AI/deep-learning applications and high-throughput environments.
- Result storage: centralized high-speed storage and retrieval of analysis outputs and datasets.
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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.