Blood Cell Analyzer Pulse Width Correction for Aggregation
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Solution Overview
Problem
Conventional blood cell analyzers face inaccuracies in counting white blood cells due to phenomena such as particle aggregation and overlapping, which affect the accuracy of diagnosis.
Innovation Solution
A method that involves acquiring optical signal information from blood samples, dividing particles based on pulse width information, and applying a correction rule to correct particle distribution, using techniques like setting pulse width ranges and corresponding correction coefficients, to accurately count blood cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional blood cell analyzers count particles directly, then the counting process is simple, but the measurement precision deteriorates due to particle aggregation and overlapping
Solution Approach 1:
The patent segments the particle counting process into multiple stages: initial particle detection, pulse width analysis, aggregation identification, and correction calculation. By dividing the counting process into distinct segments with specific functions, the system achieves high measurement precision while maintaining manageable complexity through modular processing steps.
Solution Approach 2:
The patent performs preliminary action by analyzing pulse width information before final particle counting. The system pre-identifies aggregated particles by examining pulse width characteristics, then applies correction coefficients in advance to adjust the counting results. This preliminary analysis prevents aggregation errors from propagating through the entire counting process.
2Measurement precision
If particle aggregation is detected and corrected, then the measurement precision improves, but the loss of time increases due to additional correction steps
Solution Approach 1:
The patent replaces mechanical re-counting or physical re-sampling with an electronic correction system. Instead of physically separating aggregated particles or re-collecting samples, the system uses pulse width signal analysis and mathematical correction coefficients to compensate for aggregation effects. This substitution of electronic processing for mechanical operations maintains high precision while minimizing time loss.
Solution Approach 2:
The patent introduces pulse width information as an intermediary parameter between particle detection and final counting. This intermediary provides aggregation state information without requiring additional physical measurements or time-consuming operations. The pulse width serves as a efficient mediator that enables correction calculations to be performed rapidly based on existing signal characteristics.
3Measurement precision
If pulse width analysis is used to identify aggregated particles, then the measurement precision improves, but the device complexity increases due to additional signal processing requirements
Solution Approach 1:
The patent implements self-service by using the pulse width information that is already generated during normal particle detection. The system does not require separate dedicated sensors or additional signal generation equipment - it utilizes the existing pulse width data from the flow cytometry process itself. This self-service approach enables aggregation detection without adding significant device complexity.
Solution Approach 2:
The patent applies universality by making the pulse width analysis serve multiple functions: it characterizes particle size, identifies aggregation states, and provides correction factors all from a single measurement parameter. This multi-functionality eliminates the need for separate detection systems for each function, thereby maintaining device simplicity while achieving high measurement precision through comprehensive use of existing signal data.
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 method improves the accuracy of blood cell counting, simplifies the operation process, and enhances the intelligence level of blood cell count devices by correcting for particle aggregation and overlapping issues.
Implementation Method 1
acquiring optical signal information of particles in a blood sample
Implementation Method 2
the optical signal information comprises side-scattered light information and/or fluorescence signal information
Data Source
AI summary
A blood cell parameter correction method includes: obtaining the optical signal information of the particles in the blood sample; according to the pulse width information in the optical signal information, dividing the particles in the blood sample to obtain particle distribution information; according to the preset correction rule, correcting the particle distribution information to obtain the corrected particle distribution information; wherein, the correction rule is related to the pulse width information in the optical signal information, and provided is also a blood sample analyzer executing the method, and storage medium storing the program executing the method.


