Device and method for detection and classification of pathogens

Inventors

RADHAKRISHNAN, GeethanjaliKing, JohnU, MeenatchiGupta, Aayush

Assignees

Kent Imaging IncAdiuvo Diagnostics Private Ltd

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Publication Number

US-11523738-B2

Patent

Publication Date

2022-12-13

Expiration Date


Abstract

Device and methods for detection and classification of pathogens have an imaging module, an image processing module, and a display module. The imaging module has a plurality of light sources to expose a sample to excitation radiation at various wavelengths. A detector in the imaging module synchronously captures time-resolved fluorescence emission spectra, time-resolved reflectance, and transmittance spectra at multiple spectral bands from the sample. The image processing module resolves the spectra and compares obtained spectral parameters to set of standard parameters provided in a library database to determine a match to detect and classify pathogens.

Core Innovation

The invention relates to a device and method for non-invasive, automatic, and in-situ detection and classification of pathogens. An imaging module comprises a plurality of light sources that emit excitation radiation at a predetermined range of wavelengths, and an optical switch that exposes a sample comprising pathogens for a predetermined duration at a predetermined periodicity. A detector synchronously captures time-resolved fluorescence emission spectra, time-resolved reflectance spectra, and time-resolved transmittance spectra at multiple spectral bands from the sample.

An image processing module performs spatial and temporal resolution of the time-resolved fluorescence emission spectra, time-resolved reflectance spectra, and time-resolved transmittance spectra to obtain a plurality of spectral parameters. A library database comprising a set of standard spectral parameters identifiable with reference pathogens is accessed. The image processing module compares each spectral parameter with the set of standard spectral parameters to detect and classify the pathogen.

A display module displays a result based on the comparison. The approach is positioned as an improvement over steady-state autofluorescence by leveraging time-resolved kinetics, and it includes real-time identification/classification against the library database to provide pathogen detection results.

Claims Coverage

Two independent claims are present: clm-00001 (device) and clm-00015 (method). Together they define an imaging-based, time-resolved, spectra-resolving system that derives spectral parameters, compares them to standard spectral parameters in a library database associated with reference pathogens, and displays a classification result.

Non-invasive in-situ pathogen detection device with time-resolved multi-spectral imaging

A non-invasive, automatic, and in-situ device having an imaging module with a plurality of light sources emitting excitation radiation at a predetermined range of wavelengths; an optical switch to expose a sample comprising pathogens to the excitation radiation for a predetermined duration at a predetermined periodicity; and a detector to synchronously capture time-resolved fluorescence emission spectra, time-resolved reflectance, and time-resolved transmittance spectra at multiple spectral bands.

Comparing spectral parameters to standard spectral parameters in a library database for classification

An image processing module performing spatial and temporal resolution of the time-resolved fluorescence emission spectra, time-resolved reflectance, and time-resolved transmittance spectra to obtain a plurality of spectral parameters; a library database comprising a set of standard spectral parameters identifiable with reference pathogens; and comparing each spectral parameter with the set of standard spectral parameters to detect and classify the pathogen.

Displaying classification results based on comparison

A display module to display a result based on the comparison between the plurality of spectral parameters and the set of standard spectral parameters.

Non-invasive in-situ pathogen detection method with synchronized time-resolved spectral capture and comparison to a library

A method exposing a sample comprising a plurality of pathogens to excitation radiation at a predetermined range of wavelengths from a plurality of light sources for a predetermined duration at a predetermined periodicity; synchronously capturing time-resolved fluorescence emission spectra, time-resolved reflectance, and transmittance spectra at multiple spectral bands; performing spatial and temporal resolution to obtain a plurality of spectral parameters; accessing a library database comprising standard spectral parameters associated with reference pathogens; comparing each spectral parameter with the set of standard spectral parameters to detect and classify the pathogens; and displaying a result based on the comparing.

The claim set centers on synchronized, time-resolved multi-spectral capture (fluorescence emission, reflectance, and transmittance), derivation of spectral parameters using spatial and temporal resolution, and real-time detection/classification by comparing those spectral parameters against standard spectral parameters in a library database associated with reference pathogens, with the results displayed.

Stated Advantages

Non-invasive, automatic, and in-situ detection and classification of pathogens.

Synchronous capture of time-resolved fluorescence emission spectra, time-resolved reflectance, and time-resolved transmittance spectra at multiple spectral bands.

Use of spatial and temporal resolution to obtain a plurality of spectral parameters for detecting and classifying pathogens.

Real-time comparison against standard spectral parameters in a library database to detect and classify pathogens.

Improvement over steady-state autofluorescence by leveraging time-resolved kinetics.

Documented Applications

Pathogen quantification from captured spectral data and classification results.

Wound monitoring, including monitoring wound healing and wound closure, with pathogen detection and classification and associated wound measurement and tissue-related outputs as described.

Antimicrobial susceptibility testing using pathogen detection and classification within the described workflow.

Telemedicine/telehealth use cases and portable handheld device/smartphone-based detector implementation as described.

Imaging of wound/skin outcomes and pathogen spatial distribution data as described.

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