Flow Cytometry Signal Scaling for Consistent MFI Across Gain Settings
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Solution Overview
Problem
Flow cytometers face challenges in maintaining consistent performance due to variations in detector gain settings, which affect signal-to-noise ratio and mean fluorescence intensity, making it difficult to optimize both simultaneously.
Innovation Solution
Implement methods for gain-independent normalization of data signals by adjusting detector gain settings using a scaling factor, which accounts for variations in particle velocity and laser intensity, allowing for real-time calibration-free consistency across instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detector gain settings are adjusted to maximize signal-to-noise ratio, then signal-to-noise performance is improved, but mean fluorescence intensity consistency deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing a gain-independent scaling factor that transforms the data signal to compensate for detector gain variations. This scaling factor is calculated based on the relationship between detector gain and mean fluorescence intensity, allowing the system to maintain consistent MFI across different gain settings while preserving signal-to-noise ratio performance.
Solution Approach 2:
The patent uses a scaling factor as an intermediary element between the raw data signal and the final normalized signal. This scaling factor mediates the relationship between detector gain settings and measured fluorescence intensity, enabling independent optimization of both signal-to-noise ratio and mean fluorescence intensity consistency without direct coupling between these parameters.
2Stability of the object's composition
If detector gain settings are adjusted to ensure consistent mean fluorescence intensity, then MFI consistency is improved, but signal-to-noise performance deteriorates
Solution Approach 1:
The patent changes the parameter approach by decoupling the normalization process from the detection process. Instead of adjusting detector gain to achieve consistent MFI, the system uses a computational scaling factor applied after detection, allowing the detector to operate at optimal gain for signal-to-noise ratio while the scaling factor ensures MFI consistency through mathematical transformation.
Solution Approach 2:
The patent substitutes the mechanical/electronic adjustment of detector gain with a computational scaling operation. Rather than physically adjusting the detector gain setting to achieve consistent MFI, the system uses software-based scaling factors that mathematically normalize the data signals, separating the optimization of signal-to-noise ratio from the normalization of mean fluorescence intensity.
3Reliability
If daily quality control procedures are used to maintain performance, then instrument consistency is improved, but operational complexity increases
Solution Approach 1:
The patent implements self-service by enabling the instrument to automatically calculate and apply gain-independent scaling factors without requiring manual quality control intervention. The system self-calibrates by computing the scaling factor from the relationship between detector gain and mean fluorescence intensity, eliminating the need for complex daily QC procedures while maintaining instrument consistency.
Solution Approach 2:
The patent uses feedback mechanisms where the system continuously monitors the relationship between detector gain settings and measured mean fluorescence intensity, automatically adjusting the scaling factor to maintain consistent performance. This closed-loop feedback eliminates the need for manual QC procedures by allowing the instrument to self-correct and maintain reliability automatically.
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 maintains consistent mean fluorescence intensity and signal-to-noise ratio, facilitating efficient cross-instrument analysis and improved photodetector system performance, enhancing data accuracy and precision.
Implementation Method 1
detecting light from a particle in a sample in a flow stream with a light detection system having a photodetector
Implementation Method 2
The flow stream is irradiated with light. Variations in the materials in the flow stream, such as morphologies or the presence of fluorescent labels, may cause variations in the observed light
Implementation Method 3
Variations in the materials in the flow stream, such as morphologies or the presence of fluorescent labels, may cause variations in the observed light
Data Source
AI summary
Aspects of the present disclosure include methods for normalization of gain-independent analyte data (e.g., flow cytometer data). Methods according to certain embodiments include detecting light from a particle in a sample in a flow stream with a light detection system having a photodetector, generating data signals in response to the detected light, normalizing the data signal with a detector gain to generate gain-normalized data signals and adjusting the gain-normalized data signals with a scaling factor to generate scaled data signals. Systems and non-transitory computer-readable storage media configured to carry out the subject methods are also provided.