Blood Culture System

PMA Healthcare proudly introduces the KBC Series Automated Blood Culture System from Zhejiang KWORK Biotechnology Co., Ltd., offered under exclusive representation in Pakistan. Designed for accuracy, scalability, and operational efficiency, the KBC system delivers continuous, automated detection of bloodstream infections, enabling faster clinical decision-making in critical care environments.

Blood Culture System - KBC-40

Capacity & Scalability: 40 bottle positions per module, expandable up to 160 bottles to meet growing laboratory demands
Detection Technology: High-sensitivity photosensitive chip for precise detection of microbial metabolic activity
Superior Detection Performance:
- 95% positivity within 24 hours
- Average detection time: < 10 hours
- ≥ 98% detection within 48 hours

Detection Principle: Non-invasive colorimetric CO₂-based detection with real-time curve analysis for microbial growth
User Interface: Integrated touchscreen system with pinch-to-zoom curve analysis and intuitive graphical interface
Software Platform: Microsoft Windows-based system with advanced data analysis, statistics, and export capabilities
Artificial Intelligence Integration: Powered by CNN & Transformer-based algorithms for fast and accurate positive result identification
Workflow Efficiency:
- Random barcode scanning on loading
- Automated monitoring with minimal hands-on time
- Real-time visual display of culture status

System Design: Modular, ergonomic, and space-efficient design for flexible lab integration
Connectivity & IoT: Remote monitoring capability with IoT-enabled software for real-time data access and reduced manpower requirements

Blood Culture System - KBC-120

Capacity & Scalability: 120 bottle positions in a single system, designed for high-throughput laboratories and expandable configurations for larger setups
Detection Technology: High-sensitivity photosensitive detection system ensuring accurate identification of microbial growth
Superior Detection Performance:
- 95% positivity within 24 hours
- Average detection time: < 10 hours
- ≥ 98% detection within 48 hours

Detection Principle: Non-invasive colorimetric CO₂-based detection with real-time monitoring of microbial metabolic activity
User Interface: Advanced touchscreen interface with real-time curve visualization and easy navigation controls
Software Platform: Microsoft Windows-based system with comprehensive data management, analysis tools, and report export options
Artificial Intelligence Integration: Powered by CNN & Transformer-based algorithms for rapid and precise positive result detection
Workflow Efficiency:
- Automated barcode scanning for sample loading
- Continuous monitoring with minimal manual intervention
- Real-time visual status display of all culture bottles

System Design: Compact yet high-capacity design, modular structure, and ergonomic layout for efficient lab workflow
Connectivity & IoT: Remote monitoring capability with IoT-enabled platform for real-time access, data tracking, and reduced manpower dependency

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