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NONINVASIVE, MULTISPECTRAL-FLUORESCENCE CHARACTERIZATION OF BIOLOGICAL TISSUES WITH MACHINE/DEEP LEARNING
专利权人:
Deep Smart Light Limited
发明人:
Karina Litvinova
申请号:
US16798001
公开号:
US20200268252A1
申请日:
2020.02.21
申请国别(地区):
US
年份:
2020
代理人:
摘要:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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