Blood Cell Analyzer Aggregation Detection
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Solution Overview
Problem
Existing blood cell analyzers face reduced measurement accuracy due to white blood cell aggregation in the measurement specimen, leading to incorrect counting of white blood cells.
Innovation Solution
The blood cell analyzer detects particles with waveform widths greater than or equal to a predetermined value to determine aggregation, using two measurement channels with different reagents to output accurate white blood cell counts, thereby increasing analysis reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a blood sample is mixed with a predetermined reagent to prepare a measurement specimen, then the white blood cells can be counted, but white blood cells may aggregate in the measurement specimen causing reduced measurement accuracy
Solution Approach 1:
The patent changes the reagent parameters by preparing measurement specimens with different reagents (first reagent and second reagent). This allows the system to switch measurement conditions based on whether aggregation occurs, thereby maintaining measurement accuracy while accounting for reliability issues caused by aggregation
Solution Approach 2:
The patent implements a feedback mechanism where the system determines whether aggregation has occurred based on particle count comparisons between different measurement specimens. Based on this feedback, the system selectively outputs results from the appropriate measurement channel, ensuring reliable results while maintaining high measurement precision
2Productivity
If white blood cells aggregate in the measurement specimen, then the measurement process can proceed, but aggregated white blood cells are counted as one cell causing reduced counting accuracy
Solution Approach 1:
The patent performs excessive measurement actions by preparing and measuring multiple measurement specimens with different reagents. This ensures that even if aggregation occurs in one specimen, the true cell count can be obtained from another specimen, thereby maintaining both productivity and measurement precision
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the reliability of white blood cell counting by accurately distinguishing between aggregated and individual cells, ensuring more precise results.
Implementation Method 1
a measurement unit (26), which measures a measurement specimen (S1, S2) to obtain a plurality of characteristic information of each particle contained in the measurement specimen
Implementation Method 2
the length of the aggregate when passing through the flow cell becomes longer than that of a normal white blood cell
Data Source
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AI summary
A blood cell analyzer comprises specimen preparation means for preparing a first measurement specimen and for preparing a second measurement specimen, optical detection means for detecting light emitted from each particle contained in each of the first measurement specimen and the second measurement specimen, control means for performing first classification based on the first detection signals and counting a first number of white blood cells and for performing second classification based on the second detection signals and counting a second number of white blood cells, and output means. In accordance with a result of detection of particles whose first detection signals each have a waveform having a width being greater than or equal to a predetermined value, the control means causes the output means to output either one of the first number of white blood cells and the second number of white blood cells, as the number of white blood cells of the blood sample.