Although Sysmex DI-60 is a fully automated analyzer, further understanding and analytical processes to ensure the reliability of its functionality are needed concerning the factors and their impact on its sample quality or preparation.
With this, what is the impact of sample quality or preparation variations on the accuracy and consistency of red blood cell morphology characterization by the DI-60 analyzer?
The impact of sample quality or preparation variations on the accuracy and consistency of red blood cell morphology characterization by the DI-60 analyzer include (Oh Joo Kweon et al., 2022):
1. Blood Smear Quality - The quality of the blood smear, thickness, uniformity, and staining intensity, can influence the ability of DI-60 to accurately identify and classify red blood cell morphologies. Smears that are too thick or thin, unevenly spread, or inadequately stained may lead to misinterpretation of its morphology.
2. Cell Distribution: The distribution of red blood cells on the smear, such as clumping or aggregation of cells, can impact the ability of the DI-60 analyzer to locate and analyze individual cells. Clumped cells may be incorrectly identified or missed, affecting the accuracy of morphology characterization.
3. Cell Integrity: Integrity of RBCs in the sample, including factors like cell shape abnormalities, cell lysis, or presence of artifacts, can affect the analyzer's ability to accurately classify cell morphologies. Damaged or distorted cells may be challenging for the analyzer to categorize correctly.
4. Staining Artifacts: Variations in staining techniques or the presence of staining artifacts on the smear can interfere with the analyzer's ability to differentiate between different red blood cell morphologies. Staining artifacts may lead to false-positive or false-negative results in morphology characterization.
5. User Proficiency: Proficiency of the user in preparing blood smears and operating the DI-60 analyzer can also impact the analysis. Proper training and adherence to standardized protocols are essential to ensure reliable results.
Further research is needed to systematically evaluate the influence of sample quality and preparation variations on the performance of the DI-60 analyzer in red blood cell morphology characterization. By identifying and addressing potential sources of variability, laboratories can optimize the accuracy and consistency of results obtained with automated cell imaging analyzers like the DI-60.
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