Analysis Device Light Source Adjustment for Impurity Compensation
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Solution Overview
Problem
Impurities in biological samples, such as hemoglobin and bilirubin, affect light transmittance and reduce measurement accuracy in analysis devices, as existing methods require costly and complex processes to remove impurities or adjust light sources for each sample.
Innovation Solution
An analysis method and device that use multiple reference samples with varying transmittance or color to calculate and adjust the light source control values, allowing for accurate brightness measurement by irradiating samples with light and correcting for impurity-induced fluctuations in light transmittance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If impurities are removed from the sample using methods such as centrifugation or reagent mixing, then measurement accuracy is improved, but the work process becomes more complex and measurement time increases
Solution Approach 1:
The patent introduces a reference sample as an intermediary element that mediates between the light source and the actual sample. By measuring the reference sample first and calculating a correction value based on its brightness, the system compensates for light quantity variations without needing to physically remove impurities from the sample. This intermediary measurement approach resolves the contradiction by achieving accurate measurement while keeping the sample processing simple.
Solution Approach 2:
The patent applies preliminary action by measuring and correcting for light quantity variations using a reference sample before measuring the actual sample. The correction value is calculated in advance based on the reference sample's brightness, and then applied to the subsequent sample measurement. This preliminary correction eliminates the need for complex impurity removal processes while ensuring measurement accuracy.
2Ease of operation
If a single reference sample is used to adjust the light source, then the adjustment process is simple, but samples with varying transmittance or color due to impurities cannot be accurately measured
Solution Approach 1:
The patent applies parameter changes by using multiple reference samples with different known transmittance or color characteristics instead of a single reference sample. By measuring several reference samples with varying parameters and calculating correction values for each, the system can adapt to samples with different impurity levels. This approach maintains operational simplicity while significantly improving measurement precision for diverse samples.
Solution Approach 2:
The patent enhances universality by creating a multi-functional reference sample system that can handle various sample types with different transmittance and color properties. The multiple reference samples collectively cover a range of conditions, making the measurement system universally applicable to different sample types without requiring separate adjustment procedures for each, thus maintaining simplicity while improving accuracy.
3Measurement precision
If multiple reference samples with different transmittance or color are used, then measurement accuracy for various samples is improved, but the adjustment process becomes more complex
Solution Approach 1:
The patent implements feedback by measuring the brightness of multiple reference samples, calculating correction values based on these measurements, and then applying these corrections to subsequent sample measurements. The system uses the reference sample data as feedback to determine the appropriate correction factor, which compensates for light quantity variations. This automated feedback mechanism improves measurement accuracy while keeping the adjustment process manageable through algorithmic processing.
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 brightness measurement by excluding impurity influence while reducing costs and process complexity, improving measurement accuracy and shortening analysis time.
Implementation Method 1
irradiating two or more reference samples that differ in at least one of transmittance or color with light from the light source
Implementation Method 2
an imaging unit that condenses transmitted light transmitting through the sample, receives a quantity of the condensed light, and acquires a brightness value
Data Source
AI summary
The analysis device is provided with multiple reference samples which differ in transmittance and color, a storage unit which stores the brightness values, and a control value of the light source. The control unit irradiates the reference sample with light at a set control value, and stores an acquired measured brightness value of the reference sample, and an adjustment control value of the light source for adjusting to a set reference brightness value; from the brightness value of a sample to be measured, which was acquired by irradiating the sample to be measured with light on the basis of the control value, the control unit calculates an adjustment control value of the light source on the basis of the relation between the adjustment control value of the light source and the brightness value of the sample to be measured, and uses the adjustment control value to irradiate light.