Optical Pickup Signal Processing for Immunoassay Alignment Deviation
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Solution Overview
Problem
The alignment accuracy of wells and analysis substrates in immunoassays can lead to deviations in the reaction region from the preset measurement range, resulting in inaccurate quantification of fine particles and deterioration of analysis accuracy.
Innovation Solution
An analysis device and method that uses an optical pickup to generate light reception level signals, signal processing to extract fine particle pulse signals, and computation units to estimate reaction region positions and calculate count values, allowing for accurate quantification even if the reaction region is deviated from the target position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the measurement range is set to be smaller than the reaction region to account for deviation, then the reaction region is less likely to deviate from the measurement range, but regions with large and small count values are mixed together causing in-plane distribution and deteriorating analysis accuracy
Solution Approach 1:
The measurement range is divided into multiple divided measurement ranges along the circumferential direction of the track. This segmentation allows independent counting in each divided range, enabling the system to identify and exclude regions with abnormal count values (such as areas with incomplete antibody binding or excessive fine particle aggregation) while maintaining accurate quantification in valid regions.
Solution Approach 2:
The measurement range is intentionally set larger than the reaction region size, extending beyond the expected reaction region boundaries. This excessive coverage ensures that the entire reaction region is captured even with alignment deviations, and the segmentation principle then allows exclusion of the excessive parts that contain invalid count values.
2Manufacturing precision
If the measurement range is set larger than the reaction region to accommodate deviation, then the reaction region remains within the measurement range, but regions with different binding states are mixed causing in-plane distribution and deteriorating analysis accuracy
Solution Approach 1:
The measurement range is divided into multiple divided measurement ranges along the circumferential direction of the track. This segmentation allows independent counting in each divided range, enabling the system to identify and exclude regions with abnormal count values (such as areas with incomplete antibody binding or excessive fine particle aggregation) while maintaining accurate quantification in valid regions.
Solution Approach 2:
Different divided measurement ranges may have different counting characteristics based on local binding conditions. The system evaluates count values in each divided range and selectively uses only those ranges that meet quality criteria, ensuring that local variations in binding state do not compromise overall measurement accuracy.
3Manufacturing precision
If alignment accuracy between wells and analysis substrate is improved, then reaction region positioning is more accurate, but device complexity and adjustment difficulty increase
Solution Approach 1:
The system anticipates possible alignment deviations by setting the measurement range larger than the reaction region and by preparing segmentation logic that can handle various deviation scenarios. This beforehand cushioning allows the system to tolerate alignment errors without requiring complex real-time adjustment mechanisms.
Solution Approach 2:
The system automatically identifies and excludes divided measurement ranges with abnormal count values through algorithmic analysis, eliminating the need for manual alignment adjustment or complex mechanical correction mechanisms. The device self-corrects for alignment deviations through software-based region identification and exclusion.
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 accurate quantification of fine particles and suppresses the deterioration in analysis accuracy by estimating reaction region positions and calculating count values for each divided measurement range.
Implementation Method 1
an optical pickup that receives reflected light obtained by irradiating the analysis substrate with a laser beam
Implementation Method 2
irradiating the analysis substrate with a laser beam
Data Source
AI summary
A signal processing circuit uses gate signals corresponding to a plurality of divided measurement ranges to extract a fine particle pulse signal from a light reception level signal generated by an optical pickup, count the pulse number for each of the gate signals, and output a count value for each of the divided measurement ranges. A count value in-plane distribution generating unit generates count value in-plane distribution data in a measurement range based on the count value. A reaction region position coordinate computation unit estimates positions of all reaction regions from the count value in-plane distribution data. A reaction region count value computation unit calculates the count values for each of all the estimated reaction regions.