Abstract
Clinical management of platelet disorders depends on accurate platelet counts. We evaluated a new analytic approach for platelet counting based on improved platelet discrimination. Current automated counting methods provide accurate platelet counts for most samples but often are unable to discriminate platelets accurately from nonplatelet particles such as microcytic RBCs, RBC fragments, and cellular debris that may falsely elevate platelet counts. The new approach measures 2 light-scatter angles of platelets and nonplatelet particles as they pass through a laser beam. The volume and refractive index of each platelet and particle are derived from the light-scatter measurements using the Mie scattering theory. Together, these 2 measurements provide improved platelet discrimination compared with 1-dimensional methods. With its improved discrimination, 2-dimensional platelet analysis provides more accurate platelet counts in samples containing interfering particles and may contribute to more effective clinical management of patients with platelet disorders.
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