Testing items
White Blood Cells (WBC)
- Neutrophils, lymphocytes, monocytes, eosinophils, basophils
- Calculation of the percentage of each cell type
- Pre-classification of abnormal white blood cells and immature granulocytes
Red Blood Cells (RBC)
- Normal RBC, large RBC, small RBC, spherical RBC, target-shaped RBC, oval RBC
- Calculation of the percentage of each cell type
- Description of RBC morphology and pre-classification of immature RBCs
Platelets (PLT)
- Divided into normal platelets, large/giant platelets, platelet aggregates
- Alerts for platelet aggregation exceeding warning values
Parasites
- Can issue alerts for blood parasites, including:
-
- Plasmodium
- Filaria
- Trypanosoma cruzi
- Leishmania donovani
Reclassification
- After manual review, reclassification of misclassified or unidentified cells can be performed
Detection Principle
The instrument employs artificial intelligence (AI) and machine vision technology to enhance the accuracy and efficiency of blood cell analysis. By utilizing specific algorithms and big data processing, it intelligently identifies, classifies, and quantifies various blood cells and components in real time.
Automated Detection Process
- Image Acquisition: High-resolution imaging captures blood cell morphology with precision.
- AI-Based Classification: Deep learning models differentiate between white blood cells (WBCs), red blood cells (RBCs), platelets (PLTs), and blood parasites.
- Quantitative Analysis: The system calculates cell counts, proportions, and morphological variations, ensuring diagnostic accuracy.
- Data Integration: Results are processed and stored for clinical evaluation and reporting.
System Connectivity & Automation
- Compatible with blood cell analyzers, specific protein analyzers, and slide staining machines from various brands.
- Forms a fully automated blood cell analysis production line, reducing manual intervention and improving workflow efficiency.
- Supports standardized sample preparation, staining, imaging, and reporting, ensuring reproducible results.
This structured approach ensures high precision, automation, and reliability in hematological diagnostics.
Working Procedure
Product Features
Precision Imaging and Automated Recognition in Microscopy
Positioning and Tracking Technology
- Low-magnification scanning locates nucleated cells and key targets efficiently.
- Records precise coordinates for each target, ensuring accurate tracking.
- Upon switching to oil immersion, the system rapidly finds target areas using stored coordinates.
- Enables automated zooming and image capturing, improving detection speed and ensuring no targets are missed.
Automatic Multi-layer Focusing Technology
- Executes high-speed multi-layer focusing to enhance clarity.
- Captures layered images, ensuring detailed cellular structures are visible.
- Guarantees optimal image quality, minimizing focus errors.
Intelligent Recognition Technology
- Utilizes artificial intelligence (AI) and deep learning to simulate human cognitive processes.
- Performs autonomous learning based on extensive image datasets.
- Accurately identifies, classifies, and counts various cellular components.
Precision Blood Cell Imaging and Classification System
Classic Microscopy Simulation: Utilizes traditional microscopic methods for blood cell morphology detection while automating image capture, recognition, classification, and counting.
Intelligent & Efficient Automation: Executes specimen transfer, oil droplet addition, image acquisition, recognition, and report generation entirely automatically, eliminating the need for manual labor.
High-Resolution Imaging: Integrates a fully automated digital microscope with five-axis linkage, Z-axis focus stability technology, and multi-layer automatic focusing, ensuring both speed and precision in image capture.
AI-Powered Recognition: Employs deep learning and autonomous learning to simulate human cognitive processes, accurately identifying red blood cells, white blood cells, platelets, and other blood components.
Standardized Operation: Fully automated and regulated processes eliminate subjective operator influence, guaranteeing consistent and high-quality results.
Smart Medical Imaging with Automated Traceability
Objective & Accurate Results: High-definition images are automatically stored for easy retrieval and full traceability. These images support research, training, and education, enhancing overall hospital capabilities.
Remote Service: Provides real-time online support, including remote guidance, consultations, and troubleshooting. By integrating superior medical resources, the system optimizes service efficiency and quality.
Worry-Free After-Sales: Offers quick and convenient repair scanning, ensuring prompt responses from after-sales personnel to maintain seamless instrument operation.
Specification
| Testing Criteria | Performance Evaluation |
|---|---|
|
Throughput
|
AVE-261: >50 T/H
|
|
Accuracy |
WBC five-category classification accuracy: >95% |
|
Objectives |
Dual objectives of 10X and 100X |
|
Slide Feeding Mechanism |
Track-type slide feeder, capable of holding 30 blood smears at once |
|
Reporting Method |
Rich graphical reporting, capable of integrating results from hematology analyzers, specific protein analyzers, and other instruments to generate comprehensive reports |
|
Data Storage Capacity |
80,000 data entries |
|
Printer |
Laser printer |
|
Data Interface |
Bi-directional communication interface for easy data transmission |
|
Networking Capability |
Able to connect LIS/HIS, enabling paperless report transmission |