Flow Cytometer Signal Correction for Nonlinear Fluorescence Detection
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Solution Overview
Problem
Biological sample analyzers, such as flow cytometers, face issues with linearity deterioration in photodetector output due to high incident light levels and interference from non-target beads during verification processes, affecting detection accuracy.
Innovation Solution
Implementing an n-th order approximation formula to correct signal intensity measurements based on the relationship between light irradiation output and detection unit signals, and a carryover removal process to eliminate the influence of non-target beads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high light irradiation output is used to enhance detection sensitivity, then detection sensitivity is improved, but linearity of photodetector output deteriorates
Solution Approach 1:
The patent applies parameter changes by using an n-th order approximation formula to correct the relationship between light irradiation output and detection unit signal. This mathematical transformation adjusts the non-linear response of the photodetector, restoring linearity while preserving the enhanced detection sensitivity achieved through high light irradiation output.
2Measurement precision
If verification process is performed using specific beads, then detection accuracy is enhanced, but interference from non-target beads affects the process
Solution Approach 1:
The patent applies the taking out principle by implementing a carryover removal process that specifically extracts and eliminates signal intensity data from non-target beads. This process separates the desired verification signal from the interfering carryover signals, allowing accurate detection without contamination from previous bead types.
Solution Approach 2:
The patent uses an intermediary approach by introducing a computational processing step that acts as a mediator between the raw detection signals and the final analysis. The carryover removal process serves as an intermediate treatment that filters out interfering signals before the verification process completes, ensuring accuracy without physical removal of beads.
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 from non-target beads, ensuring precise analysis of biological samples.
Implementation Method 1
a particle population such as cells, microorganisms, and liposomes is labeled with a fluorescent dye, and the intensity and/or pattern of fluorescence generated from the fluorescent dye excited by irradiating each particle of the particle population with laser light is measured
Implementation Method 2
The flow cytometer can convert light detected by the photodetector into an electrical signal, quantify the electrical signal, and perform statistical analysis
Data Source
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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.