A microtainer EDTA sample obtained during a fingerstick puncture yields a platelet count of 178 x 10^9/L. In the erythrocyte monolayer of the stained peripheral blood smear, an average of nine platelets per field is seen at 1000x magnification. Based on these data, you should

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Multiple Choice

A microtainer EDTA sample obtained during a fingerstick puncture yields a platelet count of 178 x 10^9/L. In the erythrocyte monolayer of the stained peripheral blood smear, an average of nine platelets per field is seen at 1000x magnification. Based on these data, you should

Explanation:
Platelet estimates on a stained smear are used to validate automated platelet counts. By examining an erythrocyte monolayer and averaging the platelets seen per high-power field, labs apply a conversion (commonly multiplying the average per field by about 20) to approximate platelets per microliter. An average of nine platelets per field translates to roughly 180 x 10^9/L. This lines up closely with the automated count of 178 x 10^9/L, showing concordance between the two methods. Because the smear estimate agrees with the automated result, there’s no indication of clumping or a smear-quality issue, and you should report the results. If there were a mismatch, you’d investigate further (e.g., look for clumping, repeat the count, ensure a good peripheral smear), but that isn’t warranted here.

Platelet estimates on a stained smear are used to validate automated platelet counts. By examining an erythrocyte monolayer and averaging the platelets seen per high-power field, labs apply a conversion (commonly multiplying the average per field by about 20) to approximate platelets per microliter. An average of nine platelets per field translates to roughly 180 x 10^9/L. This lines up closely with the automated count of 178 x 10^9/L, showing concordance between the two methods. Because the smear estimate agrees with the automated result, there’s no indication of clumping or a smear-quality issue, and you should report the results. If there were a mismatch, you’d investigate further (e.g., look for clumping, repeat the count, ensure a good peripheral smear), but that isn’t warranted here.

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