[Automatic blood platelet count. A method for controlling correctness of an analyzer performance]

Area of Science:

• Hematology
• Medical Laboratory Science

Context:

• Automated hematology analyzers are widely used for blood cell counting.
• Accurate platelet quantification is crucial for diagnosing and managing various medical conditions.
• Potential for inaccuracies in automated platelet counts, specifically false thrombocytopenia, exists.

Purpose:

• To evaluate the accuracy of automated blood platelet count estimations.
• To identify the probability of obtaining false thrombocytopenia data using automated methods.
• To propose a method for preliminary platelet counting in stained blood samples.

Summary:

• The study assessed automated blood platelet count results.
• It highlighted the likelihood of erroneous low platelet counts (thrombocytopenia).
• A method for preliminary manual estimation in stained smears is suggested to detect false thrombocytopenia.

Impact:

• Improves diagnostic accuracy by identifying potential false negatives in platelet counts.
• Enhances the reliability of hematological diagnostic workflows.
• Provides a practical approach for laboratory technicians to verify automated results, reducing misdiagnosis.