About CellaVision AB
CellaVision AB is a leading medical technology company that develops and sells digital solutions for medical microscopy, primarily focusing on routine analysis of blood and other body fluids in hematology laboratories worldwide. The company’s innovative approach involves automating parts of the sample preparation process and replacing traditional manual microscopes with instruments based on digital image analysis technology and artificial intelligence. This significantly contributes to more effective workflows and higher quality in laboratory medicine. Their product offerings include analyzers, software, and reagents designed for standardized laboratory diagnostics and improved performance in cellular image processing and digital microscopy systems.
CellaVision’s solutions cater to laboratories of all sizes, enabling them to operate efficiently within an advanced workflow, from slide smearing and high-quality staining to automated analysis and pre-classification of samples. The company is at the forefront of advancing laboratory technology, utilizing deep learning and artificial intelligence to enhance diagnostic certainty and streamline laboratory processes. Their comprehensive portfolio includes hardware such as the CellaVision DC-1, DM1200, and DM9600, as well as software applications like CellaVision Peripheral Blood Application, Advanced RBC Application, and Body Fluid Application. They also provide automated staining instruments and reagents, including a unique methanol-free product, RAL MCDh, for safer handling in the laboratory.
Focus Areas
Business Intelligence
| Technology | digital image analysis technology, artificial intelligence, deep learning, automated microscopy, cloud-based software (CellaVision Proficiency Software), Fourier Ptychographic Microscopy (acquired patent portfolio) |
What Physicians Need to Know
For physicians, CellaVision's technology offers several key advantages:
* **Faster and More Standardized Results:** Automated pre-classification of cells reduces review time by up to 50% and minimizes subjectivity in cell identification, leading to more consistent and reliable diagnostic results.
* **Enhanced Diagnostic Certainty:** AI-driven image analysis and pre-classification support medical technologists in detecting abnormal cells more efficiently, allowing them to focus on critical cases.
* **Remote Review Capabilities:** Digital images can be accessed, reviewed, and reported from any location within a networked system, facilitating collaboration among specialists and enabling tele-review for distributed lab networks.
* **Improved Workflow Efficiency:** By automating laborious and time-consuming aspects of cell differentials, CellaVision solutions help laboratories manage higher sample volumes and make more efficient use of skilled staff.
* **Educational and Quality Assurance Tools:** CellaVision offers web-based proficiency testing and educational platforms (e.g., CellaVision Proficiency Software and CellAtlas) to support continuous learning and competency assessment for laboratory personnel.
* **Reduced Ergonomic Strain:** Digital review at a workstation can alleviate neck, wrist, and eye fatigue associated with prolonged manual microscopy.
CellaVision systems are designed for integration with Laboratory Information Systems (LIS) to store cell images with patient records, enabling easy tracking of patient progress over time. Their products also support connectivity within and between laboratories, allowing for streamlined workflows and remote collaboration. The company's research and development focus on creating an ecosystem that combines reagents with hardware and software, ensuring comprehensive solutions.
What the Web Says
CellaVision AB is a leading provider of digital hematology microscopy solutions, including analyzers, instruments, reagents, and software, with over 8,000 units installed worldwide. Their products aim to automate workflows in hematology laboratories, improving efficiency and enabling remote review and collaboration among medical professionals. While generally seen as a valuable tool for saving time and enhancing accuracy in routine cases, some users highlight limitations in specific areas like body fluid analysis and detailed red blood cell morphology.
Overall: MixedStrengths
- Streamlines workflow and saves time in large labs, especially for routine cases.
- Enables remote review and collaboration among medical professionals, improving communication and access to expertise.
- High accuracy in characterizing common cellular morphology, particularly for neutrophils and lymphocytes.
- Useful for training and educational purposes due to the ability to take and share screenshots.
- Reduces physical strain on staff by minimizing the need for manual microscopic reviews.
- Can improve turnaround times for lab results.
Limitations
- Challenges with analyzing body fluids, especially those with low white blood cell counts.
- Limitations in accurately identifying certain red blood cell morphologies and inclusions.
- Can sometimes misclassify cells, such as immature granulocytes as monocytes or lymphocytes as blasts.
- Color discrepancies between the digital image and manual microscope view.
- Experienced morphologists may have difficulty trusting the technology, leading to manual re-reviews.
- Not always quicker for stat cases, sometimes manual methods are faster.
Based on reviews from: Reddit, Select Science, NIH, The Pathology Blog, Medical Technology Enterprise Consortium (MTEC), FDA.report
Last updated: 2026-10-23
Videos
News, demos, and interviews about CellaVision AB.
Videos load interactively. If none appear, search YouTube for CellaVision AB →
Press & Coverage
Frequently Asked Questions
Related Companies
Perimeter Medical Imaging AI is a medical technology company dedicated to transforming cancer surgery through the use of ultra-high-resolution, real-time, advanced imaging tools. The company’s mission is to address significant unmet medical needs in cancer surgery, particularly concerning positive margins and the resulting need for re-excisions. Their proprietary technology, including the S-Series Optical Coherence Tomography […]
SOPHiA GENETICS is a healthcare AI company that has developed a cloud-native, AI-driven SaaS platform called SOPHiA DDM™. This platform is designed to enable hospitals, clinical laboratories, academic medical centers, and biopharmaceutical companies to analyze and interpret complex genomic, radiomic, and multimodal healthcare data. The company’s mission is to democratize data-driven medicine, providing actionable insights […]
Deep Bio is a healthcare AI company that develops deep learning-based cancer diagnostic support software, aiming to advance patient outcomes by empowering clinicians with innovative technology. Their mission is to provide tools that enable medical professionals to make critical decisions, ultimately enhancing healthcare delivery and allowing clinicians to focus more on patient care. The company’s […]
AIRA Matrix is a healthcare AI company that develops cutting-edge artificial intelligence solutions for life sciences applications, with a strong emphasis on deep learning for medical image analysis. Their innovative products and services are designed to enhance diagnostic accuracy, improve workflow efficiency, and reduce turnaround times in pathology laboratories. The company provides diagnostic, prognostic, and […]
AI-LabTest is a secure, AI-powered digital health platform designed to help individuals understand their medical lab reports. The platform analyzes uploaded bloodwork or diagnostic results (in PDF, JPG, or TXT formats) and translates complex medical data into clear, personalized summaries. These summaries highlight key findings, potential implications, and practical next steps in patient-friendly language. The […]
Google DeepMind is a British-American artificial intelligence (AI) research laboratory and a subsidiary of Alphabet Inc.. Formed in April 2023 through the merger of DeepMind and Google AI’s Google Brain division, the company focuses on advancing artificial general intelligence (AGI) and developing AI systems for widespread public benefit and scientific discovery. Their work involves an […]