Platelet Aggregation Detection via Dual Reaction Conditions
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Solution Overview
Problem
Existing blood cell analyzers face difficulties in identifying platelet aggregation, leading to potential clinical misdiagnosis and incorrect treatments due to the similarity in test signals between aggregated platelets and large platelets, making it challenging to distinguish between the two.
Innovation Solution
The method involves preparing two test samples from the same blood sample under different reaction conditions, one to reduce platelet aggregation, allowing for the comparison of platelet test data to determine if the sample is a platelet aggregation sample, and triggering an alarm if the evaluation result meets a preset condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional blood cell analysis method is used to detect platelets, then quick and massive automatic tests can be performed, but platelet aggregation cannot be identified leading to potential misdiagnosis
Solution Approach 1:
The testing process is segmented into two distinct reaction conditions: a first reaction condition that maintains platelet aggregation state, and a second reaction condition that reduces platelet aggregation. By segmenting the test into these two conditions and comparing results, the system can identify aggregation while maintaining automated high-throughput testing capability.
Solution Approach 2:
The patent changes reaction parameters (such as temperature, reagent composition, or incubation time) between the first and second reaction conditions to differentially affect platelet aggregation. This parameter change allows the system to distinguish aggregated platelets from normal large platelets while preserving the automated testing workflow.
2Extent of automation
If existing blood cell analyzer is used, then automatic testing can be performed, but it is difficult to distinguish aggregated platelets from large platelets due to similar test signals
Solution Approach 1:
The system uses feedback by comparing platelet test data from the first reaction condition with data from the second reaction condition. This comparative feedback mechanism enables the automated analyzer to identify platelet aggregation based on the difference in test results between the two conditions, preventing information loss while maintaining automation.
Solution Approach 2:
The patent performs a preliminary test under the first reaction condition to establish baseline platelet data, then performs a second test under different reaction conditions. This preliminary action allows the automated system to have reference data for comparison, enabling aggregation identification without losing automated capability.
3Reliability
If platelet aggregation is not identified, then clinical misdiagnosis and wrong treatment may occur, but adding complex detection methods increases testing complexity and cost
Solution Approach 1:
The patent makes the blood cell analyzer multi-functional by enabling it to perform both conventional platelet counting and platelet aggregation identification using the same hardware platform. The analyzer can operate in different reaction conditions and compare results, providing aggregation identification capability without requiring separate complex equipment, thus maintaining diagnostic reliability while controlling complexity.
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 enables automatic detection of platelet aggregation samples, reducing the workload for personnel and maintaining the complexity and cost of blood sample testing processes, while providing a reliable method for identifying platelet aggregation.
Implementation Method 1
acquiring a test signal of the first test sample to obtain first platelet test data; acquiring a test signal of the second test sample to obtain second platelet test data; wherein the test signal of the first test sample and the test signal of the second test sample are respectively selected from at least one of an electrical impedance signal
Implementation Method 2
acquiring a test signal of the first test sample to obtain first platelet test data; acquiring a test signal of the second test sample to obtain second platelet test data; wherein the test signal of the first test sample and the test signal of the second test sample are respectively selected from at least one of an electrical impedance signal, a scattered light signal
Implementation Method 3
acquiring a test signal of the first test sample to obtain first platelet test data; acquiring a test signal of the second test sample to obtain second platelet test data; wherein the test signal of the first test sample and the test signal of the second test sample are respectively selected from at least one of an electrical impedance signal, a scattered light signal or a fluorescence signal
Data Source
AI summary
An alarming method for a platelet aggregation sample can include providing a blood sample, preparing a first test sample from the blood sample under a first reaction condition, acquiring a test signal of the first test sample, and obtaining first platelet test data. The method can also include preparing a second test sample from the blood sample under a second reaction condition, acquiring a test signal of the second test sample, and obtaining second platelet test data. The method can further include obtaining an evaluation result based on the first platelet test data and the second platelet test data, determining whether the evaluation result meets a predetermined condition, and alarming that the blood sample may be the platelet aggregation sample if the evaluation result meets the predetermined condition. The second reaction condition may include a reaction condition for reducing the platelet aggregation degree of the blood sample.