公开(公告)号：US11747205B2

公开(公告)日：2023-09-05

申请号：US16798001

申请日：2020-02-21

Applicant: Deep Smart Light Limited

Inventor： Karina Litvinova

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

CPC classification number: G01J3/4406 ,  A61B1/000096 ,  A61B1/043 ,  A61B1/24 ,  A61B1/2676 ,  A61B1/307 ,  A61B5/0071 ,  A61B5/1455 ,  A61B5/444 ,  A61B5/7267 ,  A61B5/742 ,  G01J3/0272 ,  G01J3/10 ,  G01J3/18 ,  G06N20/00 ,  A61B5/0075 ,  A61B5/4227 ,  A61B2090/3614 ,  A61B2560/0214 ,  A61B2560/0431 ,  A61B2560/0475 ,  A61B2562/0238

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.

公开(公告)号：US20200268252A1

公开(公告)日：2020-08-27

申请号：US16798001

申请日：2020-02-21

Applicant: Deep Smart Light Limited

Inventor： Karina Litvinova

IPC: A61B5/00 ,  G01J3/44 ,  G01J3/10 ,  G01J3/18 ,  G01J3/02 ,  A61B5/1455 ,  A61B1/04 ,  A61B1/307 ,  A61B1/267 ,  A61B1/24 ,  A61B1/00 ,  G06N20/00

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.