Automated cell count for blood component quality control

Area of Science:

• Blood banking and transfusion medicine
• Hematology
• Laboratory automation

Background:

• Accurate quantification of residual leukocytes (rWBC) and red blood cells (rRBC) is critical for blood product safety.
• Conventional manual flow cytometry for residual cell analysis is labor-intensive and prone to variability.
• The XN-1000 Blood Bank (BB) mode presents an automated alternative for quality control (QC).

Purpose of the Study:

• To validate the XN-1000 BB mode for automated QC of blood components.
• To compare the performance of the XN-1000 BB mode against standard manual methods.
• To assess the accuracy and efficiency of automated residual cell quantification.

Main Methods:

• Validation of the XN-1000 BB mode for precision, linearity, and carry-over.
• Detection of residual cells in red blood cell, platelet, and plasma products.
• Comparison of BB mode results with manual flow cytometry and impedance-based analysis on over 1000 blood components.

Main Results:

• The XN-1000 BB mode demonstrated high linearity, acceptable precision, and no analytical interference.
• Residual red blood cell (rRBC) values were higher with BB mode but within specifications.
• Platelet counts (PLT-F) were consistently higher with BB mode, reflecting true platelet content more accurately than impedance methods.

Conclusions:

• The XN-1000 BB mode is a reliable and efficient automated alternative for blood component QC.
• This automated method enhances laboratory throughput and simplifies QC workflows.
• Accurate residual cell quantification is achieved, improving product quality and transfusion safety.