Testing items
- Red blood cells
- White blood cells
- Epithelial cells
- Clue cells
- Trichomonas vaginalis
- Cocci
- Bacilli
- Fungi
- Pathogenic microorganisms
Automatic Reporting
- Cleanliness
Expandable Indicators
- Bacterial community density
- Diversity
- Dominant bacteria
- Nugent score
- AV score
This description outlines the range of microorganisms and indicators the device can automatically detect and analyze, offering insights into microbial balance and infection status while also assessing clean-up efficiency and other specific clinical markers.
Detection Principle
- Employs artificial intelligence (AI) machine vision technology to conduct fluorescence microscopic image scanning for high-resolution specimen analysis.
- Enables real-time image capture, ensuring precise visualization of cellular components.
- Utilizes intelligent recognition and classification counting to automatically identify and categorize elements in genital secretions.
- Enhances diagnostic accuracy and efficiency by reducing manual processing and improving detection reliability.
Product feature detail diagram

Product Features
Automated and Manual Review Optimization for Precise Detection
Enhanced Staining for Morphological Components: Ensures strong color contrast, making Trichomonas, fungi, and clue cells easily distinguishable.
Optimized for Automatic & Manual Review: Facilitates high-accuracy recognition, reducing the likelihood of missed diagnoses.
Image clarity
Intelligent Recognition System: Powered by artificial intelligence, simulating human brain cognition, and equipped with autonomous learning and deep learning capabilities.
High-Accuracy Image Analysis: Trained on massive image datasets, achieving automatic recognition accuracy ≥90%, significantly reducing manual review workload.
Real-time visible
Hospital Strength Enhancement: Supports clinical validation, educational initiatives, and advanced diagnostics, reinforcing institutional expertise. Remote Intelligent Service Platform: Enables real-time expert consultations for complex morphological components, overcoming time and regional limitations in accessing high-quality medical resources.

