Article ; Online: Preventing swarm detection in extracellular vesicle flow cytometry: a clinically applicable procedure.
Research and practice in thrombosis and haemostasis
2023 Volume 7, Issue 4, Page(s) 100171
Abstract: Background: Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the ... ...
Abstract | Background: Flow cytometry is commonly used to detect cell-derived extracellular vesicles in body fluids such as blood plasma. However, continuous and simultaneous illumination of multiple particles at or below the detection limit may result in the detection of a single event. This phenomenon is called swarm detection and leads to incorrect particle concentration measurements. To prevent swarm detection, sample dilution is recommended. Since the concentration of particles differs between plasma samples, finding the optimal sample dilution requires dilution series of all samples, which is unfeasible in clinical routine. Objectives: Here we developed a practical procedure to find the optimal sample dilution of plasma for extracellular vesicle flow cytometry measurements in clinical research studies. Methods: Dilution series of 5 plasma samples were measured with flow cytometry (Apogee A60-Micro), triggered on side scatter. The total particle concentration between these plasma samples ranged from 2.5 × 10 Results: Swarm detection was absent in plasma samples when diluted ≥1.1 × 10 Conclusion: To prevent swarm detection in a series of clinical samples, the measurement count rate of a single diluted plasma sample can be used to determine the optimal dilution factor. For our samples, flow cytometer, and settings, the optimal dilution factor is ≥1.1 × 10 |
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Language | English |
Publishing date | 2023-05-02 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2475-0379 |
ISSN (online) | 2475-0379 |
DOI | 10.1016/j.rpth.2023.100171 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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