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Why Do You Need Cellbytes?

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For decades, the cytomorphological analysis of bone marrow aspirates and peripheral blood smears has remained the cornerstone of hematological diagnosis. Yet, it has remained one of the most subjective and labor-intensive processes in modern medicine1. Cellbytes was founded to bridge this gap.

Cellbytes is an intelligent decision system that transforms cell morphology into highly precise, reproducible digital data. Think of a digital colleague delivering comprehensive analysis from initial upload to a finalized report. However, Cellbytes was designed to augment and not replace humans by requiring medical experts to validate findings.

At the core of Cellbytes is a breakthrough foundational AI model built on state-of-the-art vision transformer technology. To ensure robust performance internationally and across diverse clinical settings, our models were trained on a massive, multi-site dataset exceeding 10 million cells. Cellbytes contains more than 15 rigorously validated algorithms across 3,000 independent samples demonstrating a clinical capability that is unmatched in the market. The platform performs both whole-slide analysis and single-cell analysis for 17 distinct cell types and 8 critical dysplasia subtypes.

Cellbytes is a fully scanner-agnostic platform built to liberate laboratories from restrictive and possibly expensive vendor lock-in. We operate natively with 7 standard digital microscope image formats and almost all microscope providers with >=40x optical magnification. While we maintain universal compatibility, peak analytical performance requires high-resolution optics capturing the subtlest morphological anomalies. We believe and recommend the Evident VS200 or Pramana HT series to ensure superior analytical performance and high-throughput scanning2.

Cellbytes operates under a strict ISO 13485:2016 quality management system and HIPAA- and GDPR-compliant architecture to guarantee data security.

Beyond routine diagnostics, Cellbytes is a powerful engine for academic research. We believe that you should get access to your data. The platform enables clinicians, investigators, and pharmaceutical industry partners to export detailed clinical and morphological parameters at the single-cell level, accelerating the pace of scientific breakthrough34.

Interested to try? We offer a free-of-charge trial period without commitment: contact@cellbytes.io.

Footnotes

  1. Font, P. et al. Interobserver variance in myelodysplastic syndromes with less than 5% bone marrow blasts: unilineage vs. multilineage dysplasia and reproducibility of the threshold of 2% blasts. Annals of hematology 94, 565-573 (2015).

  2. Accelerate Hematological Analysis with AI-Powered Digital Pathology | Evident. https://evidentscientific.com/en/applications/accelerate-hematological-analysis-ai-powered-digital-pathology.

  3. Purhonen, M. et al. Granulocyte abundance and maturation state at diagnosis predicts treatment-free remission in CML. Leukemia https://doi.org/10.1038/s41375-025-02769-2 (2025) doi:10.1038/s41375-025-02769-2.

  4. Luukkainen, K. et al. Deep cytomorphology identifies erythroid skewing and monocytic morphology to predict TKI sensitivity in CML patients. HemaSphere 10, e70319 (2026).