System and method for AI-enhanced Raman spectroscopy tear analysis
OwnerMichael Reynardinventor
Life of this patent
Estimating the term…
Abstract
A modular diagnostic system is disclosed for acquiring Raman spectral data from tear film and analyzing biochemical signatures using Artificial Intelligence (AI). The system includes a Raman excitation source, a spectral acquisition module, and a processing engine configured to perform baseline correction, feature extraction, and AI-based classification. The system enables real-time, non-invasive diagnostics for dry eye disease, diabetes, metabolic disease, pharmacologic agents, and other conditions. The system supports longitudinal tracking and EMR integration. Real-time outputs support clinical diagnosis, treatment guidance, and longitudinal monitoring.
Claims25
A system for non-invasive biochemical analysis of tear film, comprising:
- a Raman excitation source that directs light to the tear film of a subject and creates Raman-scattered light as the light reflects off the tear film;
- a spectral acquisition module configured to detect the Raman-scattered light from the tear film, and create Raman spectral data from the Raman-scattered light;
- and
- a computer comprising one or more artificial intelligence (AI) models configured to preprocess, extract features from a Raman spectral data range of 1080-1120 cm−1, and classify the Raman spectral data to identify one or more biomarkers associated with ocular or systemic disease.
A method for diagnosing disease based on tear fluid analysis, comprising:
- collecting a tear sample from a subject,
- illuminating the tear sample with a Raman excitation source;
- detecting Raman-scattered light from the Raman excitation source reflected off of the tear sample;
- converting the Raman-scattered light into spectral data;
- and
- processing the spectral data in a range of 1080-1120 cm−1 using an AI model configured to classify the subject into one or more diagnostic categories.
A portable tear analysis device comprising:
- a Raman spectroscopy module configured to direct light onto tear film of a subject, creates Raman-scattered light as the light reflects off the tear film, detects the Raman-scattered light from the tear film, and creates Raman spectral data from the Raman-scattered light;
- a computer comprising one or more artificial intelligence (AI) models;
- an AI processing unit housed within the portable tear analysis device configured to preprocess, extract features from a Raman spectral data range of 1080-1120 cm−1, classify the Raman spectral data to identify one or more biomarkers associated with diabetes, and determine diagnostic or monitoring results based on the one or more biomarkers;
- and
- a display configured to output the diagnostic or monitoring results in real time to a clinician or the subject.
Dependencies are inferred from the claim text.