Flow cytometry is one of the most widely used cell detection techniques, commonly applied in immunology, haematology, and clinical testing. Blood is one of the most common sources for flow cytometry samples, as it is a natural single-cell suspension that can be used directly for detection. However, a practical issue arises: the number of red blood cells (RBCs) in blood is significantly higher than that of white blood cells. When the target for analysis is white blood cells (such as lymphocytes, monocytes, and granulocytes), the excessive number of RBCs can interfere with the results, making it difficult to distinguish the target population. This necessitates the processing of blood samples before the experiment, using appropriate methods to remove red blood cells and platelets, thereby facilitating subsequent research.
The common methods for processing blood samples include red blood cell lysis and density gradient centrifugation. So, how should one choose between these two methods for blood sample preparation?
1. Red Blood Cell Lysis
Red blood cell lysis is a commonly used method for processing blood samples in routine experiments. By using a specialised lysis buffer, red blood cells are selectively destroyed, while the majority of white blood cells are retained. After lysis, the sample can proceed to subsequent staining or detection steps.

Figure 1. Red blood cell lysis of human peripheral blood
Advantages
Disadvantages
Experimental Considerations
2. Density Gradient Centrifugation
Density gradient centrifugation separates cell populations based on their sedimentation coefficients and density differences through a gradient medium, such as Ficoll or Percoll.

Figure 2. Schematic of PBMC extraction from human peripheral blood using Ficoll separation medium (Image source: online)
Advantages
Disadvantages
Experimental Considerations
3. Applications of Both Methods
Rapid Whole Blood Immune Profiling
If the goal is to quickly analyse the quantity and surface markers of white blood cell subpopulations in whole blood (e.g., lymphocyte subsets, monocyte count), red blood cell lysis is often the preferred choice. This method is simple and quick, allowing for the processing of large numbers of samples. It is particularly effective for clinical testing or large-scale sample screening, as it efficiently removes red blood cells while retaining most white blood cells for analysis.
High-Purity PBMC Functional Analysis
If downstream experiments require high-purity lymphocyte/monocyte populations (e.g., in vitro cell culture, cytotoxicity assays, cytokine detection), density gradient centrifugation is more suitable. This method yields relatively pure PBMC populations and best preserves cell viability. However, it should be noted that some white blood cells (such as small numbers of lymphocytes or cell debris) may be lost during the process, and neutrophils are removed.
Specific Cell Type Requirements
If the research requires the preservation and analysis of neutrophils or other dense white blood cell populations (such as granulocyte function studies), red blood cell lysis should be used. If only lymphocytes and monocytes are of interest, density gradient centrifugation offers a higher-purity sample.
4. Conclusion
In summary, the choice of pre-treatment method should be based on the experimental objectives and subsequent analysis needs. If the focus is on rapid screening of white blood cell subsets in whole blood or when the sample size is large and purity requirements are modest, red blood cell lysis is the preferred option due to its simplicity and efficiency. If high-purity PBMCs are needed for cell culture and functional assays, density gradient centrifugation is better suited to ensure higher purity and better cell viability. It is important to note that no single method is universally applicable, and factors such as ease of operation, cell purity, and viability should be considered in the decision. In practice, both methods can also be combined; for example, red blood cells can be quickly removed by lysis, followed by gradient separation of specific cell populations for optimal results.
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