Fluorescent Compound Selection for Low-Spillover Marking Panels
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Solution Overview
Problem
The challenge of selecting suitable fluorescent compounds for complex biomolecule analyses is complicated by overlapping emission spectra, making signal separation difficult and requiring a method to reduce the negative influence of apparatus properties on fluorescence measurements.
Innovation Solution
A computer-implemented method that calculates spillover coefficients based on apparatus-related parameters and emission spectra to identify a subset of fluorescent compounds with minimal spillover, providing recommendations that minimize measurement interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If many different fluorescent compounds are used to perform complex analyses, then the analytical capability is improved, but the emission spectra overlap significantly making signal separation difficult
Solution Approach 1:
The system performs preliminary calculation of spillover coefficients for all potential fluorescent compound combinations before actual measurement. By pre-calculating and storing these coefficients in a database, the system can quickly retrieve and recommend optimal combinations without performing complex real-time calculations during the measurement process, thus enabling versatile analysis while maintaining precise signal separation.
Solution Approach 2:
The system incorporates feedback mechanisms by calculating spillover coefficients based on actual apparatus characteristics (light source emission spectra and detection wavelength-dependency) and using these feedback values to guide fluorescent compound selection. This feedback loop ensures that recommended combinations are optimized for the specific measurement apparatus, resolving the contradiction between using many compounds and maintaining signal separation precision.
2Adaptability or versatility
If a large number of fluorescent compounds are available, then the solution space of possible combinations is increased, but identifying suitable combinations becomes highly complex and time consuming
Solution Approach 1:
The system performs preliminary calculation of spillover coefficients for all potential fluorescent compound combinations and stores them in a database before actual measurement. This pre-computation reduces the time required during measurement by avoiding complex real-time calculations, allowing the system to quickly retrieve and recommend optimal combinations from the pre-processed data.
Solution Approach 2:
The system creates a digital representation (copy) of the apparatus characteristics (light source emission spectra and detection wavelength-dependency) and uses this copy to calculate spillover coefficients. By working with these digital copies rather than performing complex physical measurements for each combination, the system efficiently explores the solution space of many fluorescent compound combinations without significant time penalty.
3Measurement precision
If hypothetical optimal combinations of fluorescent compounds are identified, then the theoretical performance is improved, but the combination may not be desirable due to actual properties of the specific apparatus
Solution Approach 1:
The system calculates spillover coefficients specifically tailored to the local characteristics of each measurement apparatus (light source emission spectra and detection wavelength-dependency). Rather than providing generic optimal combinations, the system adapts the fluorescent compound recommendations to match the specific apparatus properties, ensuring that the recommended combinations are both theoretically optimal and practically compatible with the actual measurement system.
Solution Approach 2:
The system changes the selection parameters for fluorescent compound combinations based on actual apparatus characteristics. By using apparatus-specific parameters (light source emission spectra and detection wavelength-dependency) to calculate spillover coefficients, the system dynamically adjusts the optimal combination recommendations to match the specific apparatus, resolving the contradiction between theoretical optimality and apparatus compatibility.
Data Source
AI summary
The present disclosure relates to a computer-implemented method for providing fluorescent compound recommendations for fluorescent marking. The method comprises the steps of: receiving digital representations of potential fluorescent compounds for fluorescent marking; receiving apparatus-related parameters; providing respective spillover coefficients between respective pairs of the potential fluorescent compounds to obtain a set of spillover coefficients, wherein the respective spillover coefficients are calculated based on the apparatus-related parameters and are indicative of measurement spillover among the respective pairs of the potential fluorescent compounds; identifying minimum coefficients constituting a subset of the set of spillover coefficients; identifying a subset of the potential fluorescent compounds, wherein each pair of compounds within the subset of the potential fluorescent compounds has a spillover coefficient among said minimum coefficients; and providing compounds of said subset of potential fluorescent compounds as the fluorescent compound recommendations. The present disclosure further relates to a data-processing system and a computer program.