Spectral Fluorescence Multiplexing via Dispersive Optical Readout
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Solution Overview
Problem
Current methods for analyzing biological samples using fluorescence microscopy are limited by low multiplexing capabilities, allowing for only a few fluorescent dyes to be read out simultaneously, which restricts the identification of cell types and markers, thereby reducing the predictive power and translational value of the results.
Innovation Solution
A method that utilizes a plurality of unique combinations of dyes with different excitation and emission characteristics, attached to affinity reagents, allowing for high-throughput analysis by directing excitation light and generating readouts to determine the presence of affinity reagents in the sample, enabling the simultaneous detection of a large number of markers through advanced optical readouts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fluorescence microscopy with channel-based readouts is used, then the analysis method is simple and easy to operate, but the plexing level is limited to only 1-5 dyes simultaneously
Solution Approach 1:
The patent transitions from channel-based readout to spectral detector-based readout, adding the dimension of spectral resolution. By using dispersive optical elements (prisms or gratings) to separate light into its spectral components and array detectors to capture multiple wavelengths simultaneously, the system achieves a plexing level of 5-12 dyes, effectively moving from a 1D channel approach to a 2D spectral approach.
Solution Approach 2:
The patent changes the detection parameter from channel-based intensity measurement to spectral distribution measurement. By capturing the full emission spectrum of each dye and analyzing the spectral fingerprint, the system can distinguish between multiple dyes with overlapping emission profiles, thereby increasing the plexing level beyond traditional channel-based limitations.
2Adaptability or versatility
If fluorescent cell barcoding with hue encoding is used, then multiplexing capability is improved, but inter-operator variability and subjectiveness increase
Solution Approach 1:
The patent replaces the manual hue-encoding and visual interpretation method with an automated spectral detection and computational analysis system. The spectral detectors objectively measure the emission spectra, and computer algorithms automatically decode the barcodes, eliminating inter-operator variability and subjectiveness while maintaining high multiplexing capability.
Solution Approach 2:
The patent implements a closed-loop system where the spectral readout provides quantitative feedback on dye presence and intensity. The computer processor analyzes the spectral data with reference to the known barcode assignments, providing objective, reproducible results that can be verified and validated, thereby improving measurement precision and reducing subjectiveness.
3Adaptability or versatility
If a high number of different fluorescent dyes are used to increase marker detection, then the identification capability is improved, but the complexity of distinguishing overlapping emission spectra increases
Solution Approach 1:
The patent uses spectral detectors with dispersive optical elements to separate and resolve the emission spectra of multiple dyes across different wavelengths. By capturing the spectral distribution rather than relying on narrow bandwidth filters, the system can distinguish between dyes with overlapping emission profiles, enabling the simultaneous detection of a high number of markers.
Solution Approach 2:
The patent employs a universal spectral detection approach that can handle any combination of fluorescent dyes by analyzing their spectral fingerprints. The dispersive optical elements and array detectors provide a multi-functional readout capability that adapts to different dye sets and experimental configurations, making the system universally applicable for high-plex marker detection.
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 enables the detection of a high number of markers in a single readout, significantly improving the identification of cell types and markers, enhancing the predictive power and translational value of the results, and is applicable in life sciences, diagnostics, and healthcare.
Implementation Method 1
Each combination of dyes includes at least two dyes having different characteristics for at least one of excitation or emission
Implementation Method 2
spectral detectors, which use dispersive optical elements, such as prisms or gratings
Implementation Method 3
multiple detectors or array detectors
Data Source
AI summary
A method for analyzing a sample is provided. The sample includes a plurality of affinity reagents, at least one of the affinity reagents being attached to an analyte, and a first plurality of combinations of dyes. Each combination of dyes includes at least two dyes having different characteristics for at least one of excitation or emission. Each one of the unique combinations of dyes is attached to an associated affinity reagent of the plurality of affinity reagents according to a first mapping. The method includes directing excitation light at the sample, the excitation light having characteristics for exciting at least one of the at least two dyes having different characteristics, generating at least one first readout from emission light emitted by the excited dyes, and determining, by at least one computer processor, at least one affinity reagent present in the sample based on the at least one first readout.