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Adaptive Monolayer Detection Algorithm

Israel

Machine learning algorithm designed to identify clinically relevant areas on blood smear slides and optimize sample review parameters. Ensures consistent and efficient analysis of peripheral blood samples.

Manufactured by

Scopio Labs

Israel

Scopio Labs is a medical technology company transforming hematology through Full-Field Cell Morphologyâ„¢, digitizing and automating morphology workflows to eliminate microscope dependency and standardize review across teams and sites. The platform spans three applications: Full-Field Peripheral Blood Smear (FF-PBS), FDA-cleared and CE-marked with validated 60% workflow efficiency gains; Full-Field Bone Marrow Aspirate (FF-BMA), the only digital BMA solution with Whole Slide Imaging for complete marrow review and remote sign-off; and Complete Blood Morphology (CBM), an autonomous morphology analyzer designed to auto-validate approximately 90% of slides without manual review.

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