Spectral Edge Detection for Overlapping Fluorescent Biomarkers
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Solution Overview
Problem
Current imaging systems are limited in their ability to detect multiple biomarkers simultaneously due to overlapping spectra of detection moieties, leading to difficulties in accurately distinguishing between different fluorescent targets.
Innovation Solution
The system employs spectral edge detection to differentiate individual detection moieties by utilizing the leading and trailing edges of their emission or excitation spectra, allowing for the identification and isolation of specific signals amidst overlapping contributions from multiple detection moieties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple detection moieties are used to detect multiple biomarkers simultaneously, then the productivity and information content increase, but the spectral overlap makes it difficult to distinguish individual signals, worsening measurement precision
Solution Approach 1:
The patent transitions from analyzing spectra at peak wavelengths to analyzing spectral edges (leading and trailing edges). This dimensional shift in the spectral domain allows differentiation of detection moieties whose peak spectra overlap, as the edge regions contain unique spectral information that can be used to identify and separate individual signals through derivative analysis
Solution Approach 2:
The patent changes the spectral parameter from peak wavelength analysis to edge wavelength analysis. By focusing on the leading and trailing edges of emission or excitation spectra and applying derivative transformations, the system can resolve overlapping spectra and accurately identify individual detection moieties even when their peak regions overlap significantly
2Quantity of substance
If current filters and imaging apparatuses are used, then the device complexity remains manageable, but the number of detectable labels is limited, reducing the quantity of information that can be obtained from a single sample
Solution Approach 1:
The patent replaces the mechanical/optical filtering system with a computational spectral analysis system. Instead of using multiple physical filters to separate detection moieties, the system captures full spectra and uses mathematical operations (derivative analysis of spectral edges) to distinguish individual signals, thereby increasing the number of detectable labels without proportionally increasing optical hardware complexity
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 accurate and efficient multiplexing of samples by effectively distinguishing between multiple detection moieties with overlapping spectra, improving the ability to image and analyze biological samples with increased precision.
Implementation Method 1
detecting individual detection moieties within a plurality of detection moieties... based on emission and/or excitation wavelengths of the respective detection moieties used
Data Source
AI summary
This disclosure relates generally to detecting multiple biomarkers on or within a sample, though more specifically, to detecting individual detection moieties within a plurality of detection moieties.