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All formed elements detected under a microscope, including:




Intelligent Specimen Pretreatment: Features a real-time stirring control system that automatically adjusts stirring time and intensity based on sample characteristics. This ensures complete release of pathological components while preserving cell morphology integrity.
Dynamic Filter Design for Enrichment: Equipped with dual-sided filters, the system effectively removes food residues and concentrates pathological elements—notably parasitic eggs—to boost positive detection rates.
Multi-Level Automatic Focusing for Image Acquisition: Utilizes layer-by-layer scanning and target feature extraction to capture clear, high-resolution images of formed elements, minimizing the risk of missed detections.
Fully Sealed Stool Collection Cup with Pneumatic Transmission: Designed with a “cross” silicone film lid, the cup ensures airtight containment of the stool suspension throughout the testing process. This prevents leakage and supports safe pneumatic transport within automated systems.
Puncture Sampling Mechanism: Once loaded, the system performs closed-lid puncture sampling, effectively eliminating aerosol generation during lid opening and reducing occupational exposure risks for laboratory personnel.
Disposable High-Precision Counting Plate: Utilizes a single-use, precision-engineered counting plate to prevent cross-contamination and avoid biosafety hazards such as pipeline blockages or flow cell obstructions.
Hands-Free Specimen Handling: The entire workflow is contact-free, ensuring that inspectors never directly handle specimens, thereby minimizing infection risk and aligning with core infection prevention protocols.
Bullet Clip Test Card Design: Features a moisture-proof, easy-load “bullet clip” mechanism, allowing 1–5 test items to be flexibly combined per patient’s diagnostic needs. This modularity supports customized testing and streamlined operation.
Advanced Recognition Algorithm: Continuously optimized and trained on a large-scale user database, the algorithm uses autonomous learning and deep learning to achieve high-accuracy identification of formed elements such as RBCs, WBCs, fungi, starch granules, and parasitic eggs.
Stool-Specific Quality Controls: Includes visible component controls and dual-marker controls for occult blood and transferrin, enhancing the accuracy and reliability of gastrointestinal diagnostics—especially for conditions like colorectal cancer or gastrointestinal bleeding.
AAA Traceability System: Supports end-to-end traceability, linking each test result to its reagents, controls, and procedural steps, which is essential for quality assurance, regulatory compliance, and clinical confidence.
| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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| Manufacturer | AVE |
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In stock