Near-Infrared Time-of-Flight Sensing for Non-Invasive Object Identification

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Solution Overview

Problem

Current non-invasive glucose monitoring methods are inadequate due to sensitivity and selectivity issues, and existing methods for dental caries detection are limited in early stage detection, while there is a need for effective detection of counterfeit pharmaceuticals and breast cancer using non-invasive techniques.

Innovation Solution

The use of near-infrared and short-wave infrared spectroscopy with super-continuum lasers and light-emitting diodes for non-invasive monitoring of glucose, ketones, and other blood constituents, as well as for detecting dental caries and counterfeit pharmaceuticals, leveraging the SWIR spectrum for reduced scattering and improved detection accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If non-invasive glucose monitoring methods are used, then patient comfort and convenience are improved, but sensitivity and selectivity of detection deteriorate

Engineering Contradiction:
Improvepatient comfortVSAvoiddetection sensitivity
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The system segments the detection process by using separate light sources for different wavelength ranges (visible/NIR for general imaging, SWIR for specific molecular detection) and separate detection pathways, allowing each segment to be optimized for its specific function while maintaining non-invasive operation

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the optical parameters by utilizing the short-wave infrared spectrum (1.4-2.5 microns) which has different tissue penetration and scattering characteristics compared to traditional NIR, enabling improved molecular specificity and detection sensitivity while maintaining non-invasive operation

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If traditional detection methods are used for dental caries, then device complexity is reduced, but detection accuracy in early stages deteriorates

Engineering Contradiction:
Improvesimplicity of deviceVSAvoidearly detection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system adds the SWIR spectral dimension to traditional visual and NIR detection methods, enabling detection of subtle molecular changes in tooth enamel that precede visible caries formation, while maintaining a relatively simple handheld device configuration

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Illumination intensity

If visible light sources are used for imaging, then image quality in visible spectrum is improved, but detection capability in SWIR spectrum deteriorates

Engineering Contradiction:
Improvevisible light brightnessVSAvoidSWIR detection capability
Core Design Contradiction:
Illumination intensityVSMeasurement precision

Solution Approach 1:

The system implements multi-functionality by integrating both visible/NIR light sources and SWIR light sources in the same device, allowing it to perform both high-quality visible imaging and SWIR-specific molecular detection depending on the clinical requirement

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses specialized SWIR photodetectors as intermediaries that are specifically sensitive to the 1.4-2.5 micron wavelength range, enabling the detection of SWIR light that passes through or reflects from tissue while being invisible to the human eye

Inventive Principle:
Principle #24Intermediary (Mediator)

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, non-invasive monitoring of glucose and other blood constituents, early detection of dental caries, and identification of counterfeit pharmaceuticals, offering improved sensitivity and specificity compared to existing methods.

Implementation Method 1

The remote sensing system including the processor is configured to perform a time-of-flight measurement based at least in part on a comparison of the sample detector signal and the reference detector signal

Methodology Applied
Scientific EffectTime of flight measurement: Time of Flight

Implementation Method 2

a received portion of reflected sample arm light

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 3

near-infrared and short-wave infrared spectroscopy with super-continuum lasers and light-emitting diodes for non-invasive monitoring of glucose, ketones, and other blood constituents

Methodology Applied
Scientific EffectAbsorption spectroscopy: Absorption Spectroscopy

Implementation Method 4

leveraging the SWIR spectrum for reduced scattering and improved detection accuracy

Methodology Applied
Scientific EffectLight scattering: Scattering

Data Source

PatentUS11992291B2Identifying objects using near-infrared sensors, cameras or time-of-flight detectors
Publication Date: 2024.05.28 OMNI MEDSCI INC
  • US11992291B2 patent drawing
  • US11992291B2 patent drawing
  • US11992291B2 patent drawing

AI summary

A sensing system includes laser diodes with Bragg reflectors generating light having an initial light intensity and one or more near-infrared optical wavelengths. The laser diodes are modulated with a pulsed output with 0.5 to 2 nanosecond pulse duration. A beam splitter receives light from the laser diodes, splits the light into a received sample arm light directed to an object and a received reference arm light. A detection system includes a second lens and spectral filters in front of a photodiode array. The photodiode array is coupled to CMOS transistors and receives at least a portion of the received reference arm light and generates a reference detector signal. The detection system is synchronized with the laser diodes. A time-of-flight measurement is based on a comparison of the sample detector signal and the reference detector signal and measures a temporal distribution of photons in the received reflected sample arm light.