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Ever since they were first identified in the mid 19th century, platelets have presented a challenge in terms of the accuracy of counting techniques. The advent of modern therapies has accentuated the need to correctly differentiate between microcytic red cells and large platelets in order to achieve the desired counting accuracy. The combination of size and density measurements used on the ADVIA 2120 ensures that a correct platelet count will be provided the first time, every time, even on the most challenging samples.

Integrated Analysis

The analysis of platelets by the MIE Theory provides an accurate platelet count by correctly identifying and including large platelets in the count, and by correctly identifying, enumerating,and excluding common interferences such as microcytic red cells and cell fragments.

Platelet Scatter Cytogram

The platelet scatter cytogram is the graphical representation of two light-scatter measurements. The high-angle (5º-15º), high-gain light scatter is plotted on the x axis, while the low-angle (2º-3º), high-gain light scatter is plotted on the y axis. Using the MIE Theory of light scattering for homogenous spheres, the low-angle and the high-angle light scatters for each cell are transformed into volume and refractive index values. The vertical axis represents platelet volume while the horizontal axis shows increasing refractive index.

1 Platelets
2 Large Platelets
3 Red Cells
4 RBC Fragments
5 Debris
6 Red Cell Ghosts

Platelet Volume/Refractive Index (PC) Cytogram

On the platelet volume/refractive index cytogram, the x axis represents the refractive index, or the concentration of platelet component range from 0 g/dL-40 g/dL. The y axis indicates platelet volume range of 0 fL-60 fL.

PLT Volume PC
1 Platelets
2 Red Cells
3 Large Pits
4 Microcytic Red Cells

Note the clear definition between large platelets (3) and microcytic red cells (4).

Red Cell Morphology Flags:

LPLT – Large Platelets
PLT-CLM – Platelet Clumps

Summary of ADVIA 2120 Platelet Analysis:

• Accurate platelet counts in the critical clinical range reduce the need for manual counts.
• Inclusion of large platelets and exclusion of common interferences, such as microcytic red cells and cell fragments, minimize the number of manual counts, as well as the number of unnecessary and costly platelet transfusions.
• Extended linearity to 3,500 x 1000/µL means less need for sample dilutions.
• Unique MPC* parameter indicates platelet activation status.

No Doubts. Higher Confidence. Better Efficiency!

*MPC parameter is for research use only.