Interferometric Binding Signal Deconvolution Under Analyte Absorbance

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Solution Overview

Problem

Existing interferometric biosensors face challenges in accurately measuring binding signals when large analyte molecules absorb a significant amount of light, leading to incorrect computation of binding magnitudes due to absorption effects, rather than reflection.

Innovation Solution

An algorithmic approach is introduced to deconvolve the second light signal into reflection and absorbance components, employing different algorithms based on the principal component of the signal to accurately calculate binding magnitudes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If interferometric sensing is used to detect binding events, then binding signals can be measured, but light absorbance by large analyte molecules causes incorrect computation of binding magnitudes

Engineering Contradiction:

Improvebinding signal measurement accuracyVSAvoidlight absorbance by analyte molecules

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The second light signal is segmented into distinct reflection and absorbance components through deconvolution analysis. This separation allows the system to independently measure and compute binding magnitudes from the reflection component while characterizing analyte properties from the absorbance component, thereby eliminating the harmful effect of absorbance on measurement accuracy.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A computational intermediary process (deconvolution algorithm) is introduced between the detection of the second light signal and the computation of binding magnitudes. This intermediary separates the mixed signal into its constituent parts, allowing accurate binding measurement despite the presence of light absorbance by large analyte molecules.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If large analyte molecules are detected, then comprehensive analyte coverage is achieved, but light absorbance increases leading to signal computation errors

Engineering Contradiction:

Improveanalyte detection coverageVSAvoidbinding magnitude computation accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The detection system segments the second light signal into reflection and absorbance components, enabling the system to detect large analyte molecules while separately computing binding magnitudes from the reflection component. This maintains both versatility in detecting various analyte sizes and precision in binding measurements.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses feedback from the absorbance component to adjust and refine the computation of binding magnitudes. By continuously analyzing the relationship between reflection and absorbance components, the system compensates for absorbance effects and maintains accurate binding measurements across different analyte types and sizes.

Inventive Principle:

Principle #23Feedback

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 method allows for precise determination of binding signals, even with large analyte molecules, by distinguishing between reflection and absorbance components, thereby improving the accuracy of interferometric sensing systems.

Implementation Method 1

an interferometric sensor on which a biolayer forms. Generally, formation of the biolayer is prompted by depositing analyte-binding molecules along one side of the interferometric sensor and then exposing the interferometric sensor to a liquid sample. Analyte molecules in the liquid sample bind to the analyte-binding molecules over time to form a biolayer, and these binding activities are evidenced by an interference pattern that is detectable by a detector of an interferometric sensing system.

Methodology Applied

Scientific EffectInterference: Interference

Implementation Method 2

When an analyte molecule is labeled with a chromophore, fluorescent label, or radiolabel, the binding events are detectable based on how much, if any, label can be detected within the detection zone. Alternatively, the analyte molecule could be labeled after it has bound to an analyte-binding molecule within the detection zone.

Methodology Applied

Scientific EffectReflection: Reflection

Implementation Method 3

Methodology Applied

Scientific EffectAbsorption (EM radiation): Absorption (EM radiation)

Data Source

PatentUS12523613B2Addressing light absorbance during interferometric testing through algorithmic deconvolution and computation

Publication Date: 2026.01.13 ACCESS MEDICAL SYSTEMS LTD

AI summary

Introduced here is an approach to programmatically addressing the absorbance of light by analyte molecules whose binding, for example, to an interferometric sensor, is being monitored by an interferometric sensing system. A first light signal may be shone upon a biolayer over the course of a biochemical test, and the light reflected by the biolayer may form a second light signal that is detectable by a detector of an interferometric sensing system. Through analysis of the second light signal, the second light signal can be deconvolved into a reflection component and an absorbance component. If the principal component of the second light signal is the reflection component, then one algorithm may be employed to establish the binding magnitude. If the principal component of the second light signal is the absorbance component, then another algorithm may be employed to establish the binding magnitude.