Metafer (with Customization Package for Extended Blood Cell Detection)
Overview
Metafer (with Customization Package for Extended Blood Cell Detection) by MetaSystems is an AI-powered tool designed for automated whole blood cell counting and classification using deep neural networks (DNNs).
This tool is intended for use in hematology laboratories and other care settings that perform microscopic analysis of blood samples. It aims to assist laboratory professionals, including pathologists and medical technologists, in the analysis of leukocyte subtypes for diagnosing conditions such as infections, immune disorders, and hematological diseases.
Within a clinical workflow, Metafer automates the acquisition of slides and pre-categorizes detected blood cells. Users can then review and validate these preliminary classifications. The system integrates with Metafer’s slide scanning platform, which offers features like intelligent autofocusing, support for up to 800 slides with the SlideFeeder x80, and barcode reading for high-throughput scanning. Detected objects can be instantly relocated under the microscope for review.
Notable capabilities include the use of DNNs trained on expert-annotated data for automated cell classification and a real-time image gallery. The system also offers a RapidScore keyboard for quick validation and re-classification of cells. All DNNs, data, and images are stored on local servers, operating without external connections. The software provides tools for organizing images and findings, compiling reports, and mapping workflows.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-supported workflow for automated acquisition
- Pre-classification of blood cells
- Assistance in hematological diagnostics
- Automated microscopy
- Advanced workflow management
- High-quality image generation
- Customization Package for Extended Blood Cell Detection
- Support for various assays (e.g., micronucleus assay)
Use Cases
- Automated blood cell analysis for hematological diagnostics
- Cytogenetic analysis in research and clinical settings
- Biodosimetry in radiological emergencies (e.g., micronucleus assay)
- Automated imaging for various laboratory applications
- Streamlining workflow in microscopy-based laboratories
What Physicians Need to Know
The AI-assisted classification provided by Metafer should always be considered a preliminary suggestion and requires mandatory review and assessment by trained experts. Leverage the RapidScore keyboard for efficient validation and reclassification, and utilize the one-click relocation feature for immediate microscopic verification of critical cells. The system's ability to integrate with LIS/LIMS and export customized reports can streamline documentation and data management.
Metafer offers data import/export functionalities for integration with other laboratory systems. It is designed to manage standard microscopes and can be integrated with compatible existing hardware. The system operates locally, with DNNs, data, and images stored on local servers, without requiring external connections.
Details
| Category | Lab & Diagnostics, Pathology AI |
| Pricing | Contact for pricing — Not publicly available; contact MetaSystems for a quote |
| Deployment | On-premise |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Hematology, Laboratory Medicine, Pathology |
What the Web Says
Metafer with the Customization Package for Extended Blood Cell Detection is an automated microscopy system designed to streamline blood cell counting and classification in hematology labs. It leverages deep neural networks (DNNs) to automate slide acquisition and pre-categorize blood cells, aiming to reduce manual effort and improve consistency in diagnostics. The system is praised for its ability to integrate with existing lab workflows and provide clear data for reporting.
Overall: PositiveStrengths
- Automated image capture and pre-classification of blood cells using Deep Neural Networks (DNNs).
- Reduces manual effort and improves consistency compared to traditional manual microscopy.
- Integrates with existing Metafer platforms and laboratory information systems (LIS).
- Provides clear data visualization, structured tables, and graphs for reporting and review.
- Offers fast expert review and re-classification with a dedicated RapidScore keyboard.
- Scalable to process a high volume of slides (up to 800) and supports 24/7 operation.
Limitations
- DNN-generated classifications are preliminary and require mandatory review and assessment by trained experts.
- Performance can depend on the quality of customer slides and user expertise, with no guaranteed performance parameters by MetaSystems.
- Some less frequent cell classes or those with high visual similarity to others may require additional sample images for further DNN training to improve performance.
- The validation of the solution for clinical use is the sole responsibility of the customer lab.
- One study on Gram stain interpretation noted a scanning failure rate of 10.6%.
- The initial investment for such automated systems can be high.
Based on reviews from: Micro Solutions, MetaSystems, Appleton Woods | UK Lab Supplies, Gene X-Press, PMC, Scribd, Mayo Clinic Laboratories
Last updated: 2026-09-15
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