Automated Fluorescence Compensation and Reagent Selection
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Solution Overview
Problem
Current methods for fluorescence compensation in flow cytometry are limited by manual and subjective processes, leading to inaccuracies and inefficiencies in resolving spectral overlap, particularly when dealing with multiple fluorescent signals, which complicates the analysis and interpretation of data.
Innovation Solution
A model-based approach for fluorescence compensation that computes slopes using all available measurements, providing a fully automatic method for determining accurate slopes and quality metrics, and allowing for the optimization of reagent combinations to minimize compensation errors, while also automating the selection and optimization of reagent cocktails.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual and subjective methods are used for fluorescence compensation, then the process is simpler to operate, but the measurement precision and accuracy of spectral overlap resolution deteriorate
Solution Approach 1:
The system performs self-service by automatically computing compensation slopes using all available measurements from single-stain and matched series samples. The computer automatically determines the compensation matrix without requiring manual intervention, thereby improving measurement precision while eliminating the complexity of manual subjective processes.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational methods. Instead of manual adjustment and subjective evaluation, the system uses computer algorithms to calculate compensation slopes and generate compensation matrices, significantly improving accuracy and eliminating operator-dependent variability.
2Measurement precision
If automated computational methods are used for fluorescence compensation, then the measurement precision improves, but the ease of operation deteriorates
Solution Approach 1:
The system is designed to be self-service by automatically processing all available measurements, generating compensation slopes, and creating compensation matrices without requiring user intervention. This automation maintains high measurement precision while making the system as easy to operate as simply loading the software and running the analysis.
Solution Approach 2:
The software system provides universal functionality by handling multiple tasks automatically: computing slopes from single-stain samples, generating compensation matrices for multiple fluorophores, and producing corrected fluorescence data. This multi-functionality improves ease of operation by consolidating multiple manual steps into a single automated process.
3Productivity
If multiple fluorescent reagents are used together to detect multiple markers, then the productivity and information extraction improve, but the measurement precision deteriorates due to spectral overlap
Solution Approach 1:
The system uses feedback from single-stain control samples and matched series measurements to compute accurate compensation slopes. These slopes are then applied to correct the fluorescence measurements from multi-reagent samples, allowing simultaneous detection of multiple markers while maintaining measurement precision through iterative compensation based on observed spectral overlaps.
Solution Approach 2:
The patent changes the parameters of fluorescence measurement by computing compensation slopes that adjust for spectral overlap effects. By calculating and applying these slope corrections, the system enables accurate measurement of multiple fluorescent reagents simultaneously, thereby improving productivity without sacrificing measurement precision.
4Productivity
If manual selection of reagent combinations is used, then the ease of operation is maintained, but the productivity and optimization of reagent cocktails deteriorate
Solution Approach 1:
The system performs self-service by automatically evaluating multiple reagent combinations and selecting optimal ones based on computational criteria. The software autonomously determines which reagent cocktails provide the best fluorescence separation and measurement precision, dramatically improving productivity while eliminating the complexity of manual reagent selection and optimization.
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 simplifies the process of fluorescence compensation, reduces errors, and enhances the accuracy of data analysis by providing a systematic and automated method for selecting optimal reagent combinations, making flow cytometry more accessible and efficient for laboratories with modestly skilled personnel.
Implementation Method 1
Fluorescence is a cyclical process where a luminescence is generated by certain molecules in which the molecular absorption of a photon triggers the emission of another photon with a longer wavelength.
Data Source
AI summary
The invention provides a system and method for selecting an optimal multimarker reagent combination for the identification and/or quantification of molecules in or on cells with or without reference to fluorescence or other properties of at least one fluorescent dye or other instrument-measurable atom or molecule associated directly or indirectly with the reagent combination. The method includes specifying, using a computer, a plurality of markers to be detected by a plurality of reagents, generating, using a computer, a plurality of reagent combinations comprising the plurality of reagents to detect the plurality of markers, wherein the reagent combinations are ranked according to at least one user-defined or system-defined criterion, and selecting the optimal reagent combination or providing a rank-ordered list of combinations.