Complete Blood Count (CBC) is widely used in a patient to determine his/her general health status. Basic complete blood count (CBC) is a three-part differential white blood cell (WBC) count and characterize, reb blood cell (RBC) count and platelet (PLT) count. It is the primary test to screen for, diagnose, or monitor any disease's variety and conditions that affect blood cells, such as anemia, infection, inflammation, bleeding disorder, or cancer. In most cases, a CBC test requires sophisticated analyzers with more outstanding capabilities to diagnose rare blood conditions. However, H30 Pro, though as a primary healthcare level analyzer, can pre-diagnose more abnormal clinical cases.
1. Wide linearity range
At counts above the high end of the linearity range, samples would have to be diluted to allow the reportable clinical range to extend to higher values than the reportable analytical range. But now, the extended linearity range allows measuring more abnormal clinical cases without extra workload.
For Leukemia samples, sometimes the WBC is higher than 100*109/L.
Those analyzers with a limited WBC linearity range, no greater than 100*109/L, take more than five steps to get a result.
H30 Pro has a wide WBC linearity range(300*109/L ) to test more abnormal cases within one step.
2. Adaptive threshold
Most 3-part analyzers use a fixed threshold when measuring blood cells, significantly when differentiating white blood cells. The inaccurate analysis may happen occasionally, and manual adjustment of threshold would have to be done by experienced engineers. However, a frequent adjustment may lead to unreliable performance results. The adaptive threshold is applied to defining WBC, RBC, and PLT histograms, fitting more clinical cases.
Figures 1 and 2 show different thresholds on defining WBC histogram with a significant difference in analysis results. In Figure 1, though the sample is normal, using a fixed threshold may sometimes inaccurately differentiating WBC resulting in high MID%. Figure 2 shows that the Eosinophilia sample is hard to determine, but an accurate differentiation of 3-part is possible by an adaptive threshold.
Fig 1. Histogram from (A) a normal sample uses an adaptive threshold, (B) a normal sample uses a fixed threshold.
Fig 2. Histogram from (A) an Eosinophilia sample uses an adaptive threshold, (B) an Eosinophilia sample uses a fixed threshold.
