Invention Grant
- Patent Title: Noninvasive, multispectral-fluorescence characterization of biological tissues with machine/deep learning
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Application No.: US16798001Application Date: 2020-02-21
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Publication No.: US11747205B2Publication Date: 2023-09-05
- Inventor: Karina Litvinova
- Applicant: Deep Smart Light Limited
- Applicant Address: GB Hemel Hempstead
- Assignee: Deep Smart Light Ltd.
- Current Assignee: Deep Smart Light Ltd.
- Current Assignee Address: GB Hemel Hempstead
- Agency: Pillsbury Winthrop Shaw Pittman LLP
- Main IPC: G01J3/44
- IPC: G01J3/44 ; A61B5/00 ; G06N20/00 ; A61B1/00 ; A61B90/00 ; G01J3/10 ; G01J3/18 ; G01J3/02 ; A61B5/1455 ; A61B1/04 ; A61B1/307 ; A61B1/267 ; A61B1/24

Abstract:
Provided is a obtaining an excitation-emission matrix, wherein the excitation-emission matrix is measured with a spectrometer by: illuminating a biological tissue with stimulant light at a first wavelength to cause a first fluorescent emission of light by the biological tissue, measuring a first set of intensities of the first fluorescent emission of light at a plurality of different respective emission wavelengths, illuminating the biological tissue with stimulant light at a second wavelength to cause a second fluorescent emission of light by the biological tissue, and measuring a second set of intensities of the second fluorescent emission of light at a plurality of different respective emission wavelengths; and inferring a classification of the biological tissue or a concentration of a substance in the biological tissue with a multi-layer neural network or other machine learning model.
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