Biological Sample Analyzer Calibration for Nonlinear Fluorescence Signals
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Solution Overview
Problem
Biological sample analyzers, such as flow cytometers, face issues with linearity deterioration in photodetector output due to varying light intensities, and interference from non-target beads during verification processes, affecting detection accuracy.
Innovation Solution
A biological sample analyzer with an information processing unit that corrects signal intensity measurements using an n-th order approximation formula and removes non-target bead interference by setting fluorescence channels and executing a k-means method for signal intensity data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a photodetector is used to detect light from biological particles, then detection capability is improved, but linearity deteriorates due to varying light intensities
Solution Approach 1:
The patent applies parameter changes by using an n-th order approximation formula (where n is an odd number ≥ 3) to model and correct the nonlinear relationship between light irradiation output and signal intensity measurement. This mathematical transformation adjusts the detection parameters to compensate for linearity deterioration, allowing the photodetector to maintain measurement precision across varying light intensities.
2Measurement precision
If verification process using beads is performed to enhance detection accuracy, then measurement precision is improved, but interference from non-target beads affects the process
Solution Approach 1:
The patent applies the extraction principle by isolating and removing signal intensity data corresponding to non-target particle groups from the total detected signals. The information processing unit identifies and extracts only the relevant signal components from the mixed signal population, eliminating interference from non-target beads while preserving the verification process benefits.
Solution Approach 2:
The patent implements feedback by using signal intensity data from particle groups with stepwise different fluorescence intensity levels to establish correction relationships. The system continuously refines its detection accuracy by feeding back the measured signal characteristics and adjusting the approximation formula parameters accordingly, creating a self-correcting verification process.
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
Enhances detection accuracy by correcting linearity issues and removing interference, ensuring precise analysis of biological samples.
Implementation Method 1
a light irradiation unit that irradiates a particle with light; a detection unit that detects light generated by the light irradiation
Data Source
AI summary
An object of the present technology is to provide a technique for improving detection accuracy in a biological sample analyzer.The present disclosure relates to a biological sample analyzer including a light irradiation unit that irradiates a particle with light, a detection unit that detects light generated by the light irradiation, and an information processing unit that controls the light irradiation unit and the detection unit. In an embodiment, the information processing unit corrects signal intensity measurement value of light detected by the detection unit on the basis of a relationship between a light irradiation output value of the light irradiation unit and a signal intensity measurement value of the light detected by the detection unit. Furthermore, in an embodiment, the information processing unit is configured to execute a removal process of removing signal intensity data related to a particle group not belonging to a particle population including a plurality of kinds of particle groups having stepwise different fluorescence intensity levels, from signal intensity data of light generated by irradiating a sample including the particle population with light.