Sysmex and CellaVision expand alliance with a view to advancing hematology solutions

Sysmex Corporation announces that it has entered a strategic alliance agreement with CellaVision

11 Mar 2024
Will Thompson
Editorial Assistant
Syxmex-di60-image-2024

The DI-60 Automated Digital Cell Morphology Analyzer developed by Sysmex in collaboration with CellaVision

Sysmex Corporation and CellaVision AB will be working together to advance hematology solutions by expanding its portfolio, including next-generation cell morphology analyzers. Going forward, the companies will work to further increase efficiency and standardization of the testing workflow in the hematology field, increase the precision of cell morphology classification, and provide value in supporting diagnosis.

Sysmex and CellaVision entered a relationship of cooperation 20 years ago in the field of hematology, which analyzes the number, type, and size of red, white, and other blood cells. In 2001, Sysmex entered a sales alliance involving CellaVision’s cell morphology analyzers. In 2013, Sysmex launched the DI-60 Automated Digital Cell Morphology Analyzer, which was developed in collaboration with CellaVision. By connecting with Sysmex’s hematology analyzers, the system automates the process up to cell morphology analysis, contributing greatly to the streamlining and standardization of testing workflow in the hematology field in clinical laboratories around the world.

The two companies have agreed to augment their product portfolios, including next-generation cell morphology analyzers, by expanding their collaboration to advance hematology solutions, and to extend their agreement until 2038. Based on a long-term, collaborative structure, the two companies intend to utilize Sysmex’s expertise in increasing efficiency and standardization of the testing workflow in the hematology field, and maximize synergies with CellaVision’s digital imaging and analysis technologies. Through these efforts, the companies aim to further enhance efficiency and standardization in the testing workflow, as well as increasing clinical value in supporting diagnoses through improved precision of cell morphology classification.

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