JUN 26, 2018 06:00 AM PDT

Principles and performance characteristics of automated platelet counting methods

SPONSORED BY: Abbott Diagnostics
CONTINUING EDUCATION (CME/CE/CEU) CREDITS: P.A.C.E. CE | Florida CE
4 21 3406

Speakers:
  • Scientific Affairs Manager, US Hematology, Abbott Diagnostics
    Biography
      Donald Wright is a Global Scientific Affairs Manager for Abbott Diagnostics, Hematology. Donald has worked in clinical laboratory services and the commercial hematology industry for the entirety of his career. He has served in a variety of roles including automated hematology supervisor, educational coordinator, scientific marketing, scientific liaison, flow cytometry and cellular analysis specialist, and several managerial positions. His research and publications include, applications of monoclonal antibodies with flow cytometry, characterization of new hematology product performance, and development of novel hematology assays and markers.

      In his current role, Donald provides scientific support for Health Care Professionals, and serves as a scientific resource to various functions, including R&D, business development, global strategic operations and other departments.

      Donald is a member of several organizations including American Association of Clinical Chemist, International Society for Laboratory Hematologist, and the American Society of Clinical Pathologist.

    Abstract:

    DATE: June 26, 2018
    TIME: 06:00AM PDT, 09:00AM EDT, 1500 CEST

    Today’s hematology analyzers employ various methods for enumerating platelets, including electrical impedance, light scatter, fluorescence, and immunologic recognition by monoclonal antibodies. While these methods produce an accurate platelet count in the majority of patient cases, circulating abnormalities have been shown to negatively affect the reliability of reported results. The impact on quality varies depending on the specific interference and technology used to determine the platelet count.

    In this webinar, different principles used for counting platelets will be reviewed. A case-based approach will be followed to examine the effect of circulating interferences on the performance of each option.

     

    Learning Objectives:

    • Discuss how platelet counts are determined by different automated methods
    • Compare how specific interferences impact the reliability of platelet counts produced by various technologies

     

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