Testing items
Physical indicators: fecal color, consistency, etc.
Formed elements: all pathological formed elements visible under the microscope, including:
- Eggs
- Cells
- Fungi
- Protozoa
- Microorganisms
- Starch granules
Detection Principle
Utilizes machine vision and artificial intelligence technology for automatic detection of fecal specimens .
Automatically analyzes fecal color and characteristics, ensuring precise assessment.
Identifies, classifies, and quantifies pathological formed elements, including eggs, cells, fungi, protozoa, microorganisms, and starch granules.
Enhances diagnostic accuracy through AI-driven recognition and deep learning capabilities.
Working Procedure
Product Features
Optimized Image Processing Through Staining Technology
Automatic staining of formed elements enhances image clarity, ensuring more precise visualization.
Improved automatic recognition rates through optimized staining techniques, facilitating accurate identification and classification.
Enhanced manual review efficiency, allowing for faster and more reliable verification of results
Precision Diagnostics through Intelligent Automated Training
Artificial intelligence-driven simulation mimics human brain functions , enabling autonomous learning and deep learning capabilities .
Extensive image training enhances high-accuracy identification of various formed elements, ensuring precise classification.
AI-powered recognition improves diagnostic reliability, optimizing laboratory efficiency and reducing manual workload
Authentic Image-Based Element Identification and Reporting
Simulates the classic microscopic morphological testing method, ensuring accurate representation of formed elements.
Captures real-life images at both low and high magnification, providing detailed visualization.
Automatically recognizes and classifies formed elements, enhancing diagnostic precision.
Generates a comprehensive report, integrating images and text for clear and informative analysis.
Advanced Intelligent Stirring Control for Accurate Sample Preparation
Intelligent stirring control system enables real-time monitoring of stirring effects, ensuring optimal sample processing.
Automatic adjustment of stirring time and force provides personalized sample treatment, preventing damage to cell morphology.
Liquid-based thin-layer cytology preparation technology concentrates and enriches formed elements by over 20 times, significantly improving positive detection rates.
High-Speed Imaging with Multi-Level Auto-Focus Technology
High-speed microscope integrated with high-speed imaging enables rapid and precise sample analysis.
Multi-level automatic focusing technology ensures clear visibility of egg nuclei and other pathological elements.
Optimized imaging clarity forms the foundation for accurate automatic recognition, enhancing diagnostic reliability.
Optimized Sample Handling for Equipment Protection
Disposable slides and cover slips effectively prevent cross-contamination, ensuring sample integrity.
Reduces the risk of equipment failure by preventing blockages in tubes and counting chambers, maintaining smooth operation.
Enhances laboratory safety and efficiency, minimizing contamination-related errors and ensuring reliable results.
Fully Automated Sample Processing and Microscopy
Fully automated workflow eliminates the need for operator supervision , ensuring seamless processing.
Handles sample preprocessing, enrichment, slide preparation, staining, microscopy, and recognition, optimizing efficiency.
Enhances accuracy and consistency through AI-driven automation, reducing manual intervention.
Result Interpretation
| Parameter | Result Interpretation |
|---|---|
|
pH
|
Normal range is 3.8-4.5.
|
|
H2O2
|
“-” indicates vaginal flora balance. “±” signals an intermediate state needing attention. “+” points to an imbalance requiring treatment. |
|
LE
|
“-” indicates normal. “±” suggests mild vaginitis. “+”, “++”, “++++” denote increasing severity of vaginitis. |
|
SNA
|
“-” indicates normal. “±” or “+” suggests bacterial vaginitis. |
|
β-G
|
“-” indicates normal. “±” or “+” suggests aerobic bacterial vaginitis. |
|
NAG
|
“-” indicates normal. “±” or “+” with pH ≥4.8 indicates trichomonas vaginitis. “±” or “+” with pH ≤4.6 suggests candidal vaginitis. |
|
CAL
|
Used for negative calibration.
|
