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Analyzing Platelet Subpopulations by Multi-color Flow Cytometry
Published on: June 10, 2025
283
Flow cytometry for evaluating platelet immunophenotyping and function in patients with thrombocytopenia
Chih-Lung Shen1, Yi-Feng Wu1,2
1Department of Hematology and Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Tzu Chi Medical Journal
|December 29, 2022
Summary
Flow cytometry offers a sensitive method for evaluating platelet function, especially in patients with low platelet counts. However, challenges in standardization hinder its routine laboratory use for diagnosing platelet disorders.
Area of Science:
- Hematology
- Immunology
- Clinical Diagnostics
Background:
- Platelets are crucial for hemostasis, and assessing platelet dysfunction is vital for diagnosing bleeding and thromboembolic disorders.
- Current platelet function studies are complex, necessitating advanced diagnostic methods.
- Platelet disorders require accurate evaluation for effective management.
Purpose of the Study:
- To review flow cytometry methods for platelet immunophenotyping and function evaluation in platelet disorders.
- To highlight flow cytometry's utility in patients with thrombocytopenia.
- To discuss the advantages and limitations of flow cytometry for platelet function analysis.
Main Methods:
- Focus on flow cytometry techniques for assessing platelet function.
- Discuss measurement of glycoprotein IIb/IIIa/P-selectin (CD62p) expression.
- Examine the percentage of leukocyte-platelet aggregates as a diagnostic marker.
Main Results:
- Flow cytometry demonstrates high sensitivity for low platelet counts and requires minimal blood volume.
- It offers a non-centrifugation method for platelet function assessment.
- Key measures include CD62p expression and leukocyte-platelet aggregate formation.
Conclusions:
- Flow cytometry is a versatile tool for sensitive, simultaneous platelet function studies.
- Standardization remains a significant challenge for routine laboratory implementation.
- Further efforts are needed to overcome analytical complexities before widespread clinical adoption.

