Digital cytopathology streamlines workflows by bridging physicians and technology. With AI managing time-consuming, quantifiable tasks, human experts apply their clinical judgment to verify and interpret results. To support interpretation, Cellbytes is the first platform to also provide reference values for healthy subjects. Remote collaboration becomes effortless, enabling seamless sample evaluation and colleague consultations. Cellbytes brings digital cytopathology to life.
Capture cytomorphological slides using your microscope.
Images are securely uploaded to the cloud-based file storage.
Cellbytes analyzes key features from whole-slide and single-cell images.
Review pre-classification results.
Share a standardized digital report directly to your laboratory information system or export them for research purposes.
Prioritize urgent samples with a multi-parameter risk model.
Access whole-slide images, numerical analysis, and visual masks.
View single-cell images with classifications and potential dysplasia indicators.
Compare results with population-scale reference ranges.
Assess and share clinically essential findings in a structured report.
Easily share slides and cell images with colleagues for consultations and meetings.
Our AI aims to perform nearly all the same diagnostic tasks as healthcare professionals, enhancing every step of the analysis process rather than just optimizing isolated aspects. By combining cell classification with morphology, dysplasia assessment, and sample quality analysis, we provide a fresh angle for research.
Our system ranks bone marrow samples by clinical urgency. By scoring cytomorphological features automatically, we ensure high-priority cases receive immediate attention.
Our system facilitates rapid adoption through step-by-step instructions and an intuitive introduction to the interface.
The evaluation flow will guide you through a sequence of analyses covering whole-sample analysis, selection of regions of interest, cell differential, dysplasia assessment and finally approving a standardized sample report.
The system evaluates sample sufficiency, cellularity estimates to assess the density of hematopoietic cells and megakaryocyte density, all of which are integral parts of a comprehensive cytomorphological analysis.
Validate preclassification results with precision using diagnostic masks. Overlays highlight the exact regions factored into the analysis, providing full transparency into the system’s identification process.
Cellbytes combines a powerful in-house foundation model trained with millions of cells and medical context to preclassify every cell identified within the sample. For targeted analysis, users can define specific regions of interest to maximize clinical accuracy.
For a deeper dive, Cellbytes provides a detailed breakdown of results on a region-by-region basis to precisely compare different areas within the sample.
Review automated classifications with ease. Our organized cell-by-cell list allows users to validate the system’s performance and maintain full diagnostic control by updating labels on the fly. Cellbytes ensures rapid correction and validation using an intelligent cell similarity measure. These updated labels can also be used for model retraining, ensuring your system continuously adapts and performs best with your specific data.
A first in automated cytomorphology: detect and characterize dysplastic cells across multiple lineages rapidly and securely.
Finalize your evaluation with a single click. Approve the generated results and sign off on the sample to complete the digital workflow and archive the report.
Cellbytes can be used by uploading high-resolution images of bone marrow aspirates to the platform. The application analyzes these images using advanced machine learning algorithms, delivering quantitative results and visual annotations. It is accessible via a secure web interface—no installation required.
Yes, Cellbytes offers a trial version for institutions and professionals interested in evaluating its capabilities. You can request trial access by contacting the support team through the website.
Cellbytes's algorithms have been trained on a comprehensive real-world dataset comprising different pathologies and over 60,000 samples. The system achieves high accuracy in detecting and classifying various blood cell types and their abnormalities, with performance metrics benchmarked against expert diagnoses.
No, Cellbytes is designed to assist hematopathologists. It serves as a diagnostic aid that enhances efficiency and consistency. Final clinical decisions should always be made by a qualified medical professional.
Cellbytes accelerates and enhances hematological analysis by providing AI-assisted interpretation of bone marrow cell images. Cellbytes will facilitate remote working and consultation but also reduce diagnostic turnaround time and improve standardization, particularly in high-volume settings.
Cellbytes supports high-resolution digital images of May-Grünwald Giemsa stained bone marrow aspirate slides. Whole-slide images should be captured at 10x magnification and region-of-interest images should be acquired at 100x magnification. Cellbytes supports multiple imaging formats, such as DZI, SVS, VSI, CZI, MRXS, DICOM, and OME-TIFF.
Being cloud-based ensures seamless updates, scalable computing resources, and consistent algorithm performance across users. It also allows for secure data storage and easy collaboration between institutes, laboratories and specialists across geographic locations.
Pricing depends on your usage volume. Contact the support team to test a trial version and discuss your needs.
Absolutely. Cellbytes is increasingly used in research settings to study hematologic disorders, develop new biomarkers, and support clinical trials. It offers data export and integration with other medical data domains.