Positioning and Tracking Technology: Utilizes full-field scanning at low magnification to locate targets, followed by high-magnification tracking for precise identification, ensuring critical specimens are not missed.

Automatic Multi-layer Focusing Technology: Quickly focuses on multiple specimen layers, capturing layer-by-layer images for high-quality visualization of fine cell structures.

Intelligent Recognition Technology: AI-driven self-learning and deep learning capabilities enable accurate identification and classification of various formed elements.

Features

• Multi-purpose: A single device detects formed elements in urine, feces, and vaginal discharge, optimizing laboratory space utilization.
• Inheritance of Classic Methods: Simulates manual microscopy, capturing real-life images at low and high magnification, with automated recognition and classification.
• Intelligent and Efficient: Automatically switches detection programs based on specimen type, adjusting magnification, field of view, focus, and image capture, reducing manual workload.
• Accurate and Reliable: Optimized recognition algorithms, trained on a database of over 5,000 users, achieve over 95% accuracy in automatic recognition.
• Typical Image Library: Includes a comprehensive cell image library, prompting operator review for difficult-to-identify formed elements, preventing misdiagnosis or missed diagnosis.
• Remote Services: Features a real-time operation and maintenance platform, offering online guidance, diagnostic assistance, and fault diagnosis, integrating premium medical resources for enhanced service efficiency.
• Worry-Free After-Sales: QR code-based repair requests ensure quick troubleshooting, with responsive after-sales personnel resolving faults to maintain smooth instrument operation.