Exploring the performance of an artificial intelligence- and morphology-driven workflow integrating 4 platelet enumeration technologies.

Journal: American journal of clinical pathology
Published Date: Jun 10, 2025

Abstract

OBJECTIVE: Platelet count, one of the main parameters of the complete blood count, requires accurate evaluation to guide patient management. It can be hampered by EDTA-induced pseudo-thrombocytopenia (PTCP), microcytic red blood cells (RBCs), RBC fragments, or giant platelets. A new set of 4 methods from the Mindray CAL-8000 platform, applicable on a single sample for platelet count, was evaluated.

Authors

  • Julien Guy
    Hematology Biology Department, Dijon University Hospital, Dijon, France.
  • Marie-C Béné
    Hematology, Nantes University, Nantes, France.
  • Ramon Simon Lopez
    Mindray, Scientific Research, Oberwil bei Zug, Switzerland.
  • Marc Maynadié
    Hematology Biology Department, Dijon University Hospital, Dijon, France.
  • Céline Row
    Hematology Biology Department, Dijon University Hospital, Dijon, France.

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