Testing items
- Color
- Turbidity
- Specific gravity
Formed Elements
- Standardized classification and quantitative counting of all formed elements in specimens such as:
- Cerebrospinal fluid
- Serous cavity effusion
- Joint cavity effusion
Detection Principle
AI-Powered Automatic Morphological Microscopy
- Utilizes artificial intelligence (AI) machine vision technology to enhance automated morphological microscopy.
- Enables automatic recognition, classification, and counting of formed elements with high precision.
- Reduces manual intervention, improving diagnostic accuracy and efficiency in specimen analysis.
Product feature detail diagram

Product Features
Multi-Purpose Specimen Detection: Capable of analyzing cerebrospinal fluid, pleural and peritoneal effusion, and joint cavity effusion, supporting broad diagnostic applications.
Intelligent Microscope Adjustment: Dynamically adjusts field-of-view background and auto-focuses, ensuring precise imaging.
Full-Field Scanning at Low Magnification: Enables rapid screening for negative results with a high detection rate, eliminating the need for centrifugation.
Objective & Accurate Results: Generates comprehensive reports with images and text, automatically highlighting suspicious targets for review and correction, reducing re-testing needs.
Self-Learning Memory Function: Continuously enhances recognition accuracy through adaptive learning, improving diagnostic precision over time.

