Real-Time Crosstalk Extraction for Reaction-Site Biosensor Arrays
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Solution Overview
Problem
Conventional optical systems for biological or chemical analysis face challenges in managing unwanted light emissions (crosstalk) as analyte density increases, particularly in systems using CCD or CMOS detectors, which are costly and require a large footprint.
Innovation Solution
A method and system for determining point spread functions to compensate for crosstalk by obtaining and populating noise dependencies, generating a sharpening kernel, and applying it to analysis images to enhance signal-to-noise ratio, using a sensor array and processor to iteratively refine the kernel for optimal crosstalk compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical systems with lenses, filters, and light sources are used for fluorescent detection, then detection capability is improved, but device complexity and footprint increase
Solution Approach 1:
The patent extracts and removes the complex optical assembly (lenses, filters, light sources) from the detection system, retaining only the essential solid-state imager. This extraction maintains detection capability while dramatically reducing system complexity and footprint.
Solution Approach 2:
The patent replaces the mechanical/optical system (lenses, filters, light sources) with a solid-state electronic imaging system. This substitution eliminates moving parts and complex optical alignment while preserving detection functionality.
2Productivity
If analyte density is increased to improve assay throughput, then productivity is improved, but crosstalk between adjacent analytes worsens
Solution Approach 1:
The patent changes the detection parameter from direct intensity measurement to deconvolved signal extraction. By applying point spread function-based deconvolution, the system can resolve signals from densely packed analytes, enabling high throughput while eliminating crosstalk through mathematical separation of overlapping signals.
Solution Approach 2:
The patent performs preliminary characterization of the point spread function under identical experimental conditions before conducting the actual assay. This pre-measured PSF is then used to deconvolve and correct crosstalk in the density assay data, enabling accurate measurement at high analyte densities.
3Duration of action of moving object
If analyte density is increased to reduce assay time, then duration of action is reduced, but measurement precision deteriorates due to crosstalk
Solution Approach 1:
The patent transforms the measurement approach by incorporating temporal deconvolution using the point spread function. This allows the system to maintain high measurement precision even at high analyte densities by mathematically separating crosstalk contributions, thereby enabling shorter assay durations without sacrificing accuracy.
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
Effectively reduces crosstalk in biological or chemical analysis systems, improving image sharpness and reducing noise interference, thereby enhancing the accuracy and efficiency of detection processes.
Implementation Method 1
obtaining a plurality of analysis images of light emitted during sequencing of a biological sample; each measurement from the first plurality of measurements is captured by a sensor whose position relative to a corresponding sensor which captured a measurement from the second plurality of measurements
Data Source
AI summary
Biosensor including an array of reaction sites and corresponding light sensors may experience crosstalk in which photons from one reaction site are detected by neighbors of its corresponding light sensor, and such crosstalk may be corrected using sharpening kernels corresponding to the sensors in the array. Such sharpening kernels may be derived from point spread functions, which may be determined in real time analysis based on images captured during sequencing.