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Innovation powered by research

At Cellbytes, our mission is to provide the ultimate digital colleague for your diagnostic needs. Cellbytes delivers a comprehensive cytomorphological assessment, including whole-slide analysis, cell classification, and dysplasia detection. Every algorithm is built on high-quality data covering normal and pathological varieties, cutting-edge research and validated by robust scientific and clinical metrics.

Our team is deeply rooted in academia, constantly advancing the frontiers of deep learning and computational hematology. Our research explores the intricate connections between cell morphology, disease genetics, and clinical outcomes, with the goal of improving the understanding and management of blood disorders.

We're eager to collaborate and help you make new discoveries. Cellbytes's in-house R&D team has developed advanced algorithms for investigational use. Let us know how we can support your research work and push the boundaries of our understanding of hematopathology.

Selected publications

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Deep cytomorphology identifies erythroid skewing and monocytic morphology to predict TKI sensitivity in CML patients

Luukkainen K, Purhonen M, Tatun M, Hung H, Tafjord O, Sundquist H, Söderlund S, Adnan-Awad S, Dohlen A, Heikkinen J, Koskenvesa P, Joutsi-Korhonen L, Lempiäinen A, Siitonen S, Mustjoki S, Shanmuganathan N, Bryce C, Danielsson S, Hjorth-Hansen H, Olsson-Strömberg U, Kumagai T, Kimura S, Ross DM, Brück O

HemaSphere / 13 Feb 2026

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3D illustration of a machine outputting streams of data with pills watching along

Granulocyte abundance and maturation state at diagnosis predicts treatment-free remission in CML

Purhonen M, Tatun M, Luukkainen K, Hung K, Sundquist H, Tafjord O, Söderlund S, Adnan-Awad S, Dohlen A, Heikkinen J, Koskenvesa P, Siitonen S, Mustjoki S, Shanmuganathan N, Bryce C, Danielsson S, Hjorth-Hansen H, Olsson-Strömberg U, Kumagai T, Kimura S, Ross DM, Brück O

Leukemia / 16 Sep 2025

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The multimodality cell segmentation challenge: toward universal solutions

Ma J, Xie R, Ayyadhury S, Ge C, Gupta A, Gupta R, Gu S, Zhang Y, Lee G, Kim J, Lou W, Li H, Upschulte E, Dickscheid T, de Almeida JG, Wang Y, Han L, Yang X, Labagnara M, Gligorovski V, Scheder M, Rahi SJ, Kempster C, Pollitt A, Espinosa L, Mignot T, Middeke JM, Eckardt JN, Li W, Li Z, Cai X, Bai B, Greenwald NF, Van Valen D, Weisbart E, Cimini BA, Cheung T, Brück O, Bader GD, Wang B.

Nature Methods / 26 Mar 2024

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