Clinical management of platelet disorders depends on accurate platelet coun
ts. We evaluated a new analytic approach for platelet counting based on imp
roved platelet discrimination, Current automated counting methods provide a
ccurate platelet counts for most samples but often are unable discriminate
platelets accurately from nonplatelet particles such as microcytic RBCs, RB
C fragments, and cellular debris that may falsely elevate platelet counts.
The new approach measures 2 light-scatter angles of platelets and nonplatel
et particles as they pass through a laser beam. The volume and refractive i
ndex of each platelet and particle are derived from the light-scatter measu
rements using the Mie scattering theory. Together these 2 measurements prov
ide improved platelet discrimination compared with I-dimensional methods. W
ith its improved discrimination, 2-dimensional platelet analysis provides m
ore accurate platelet counts in samples containing interfering particles an
d may contribute to more effective clinical management of patients with pla
telet disorders.