Method And System For Simultaneous Decomposition Of Multiple Hyperspectral Datasets And Signal Recovery Of Unknown Fluorophores In A Biochemical System

A method for analyzing fluorescence of fluorophors in an eye, comprising:

• obtaining, from a plurality of hyperspectral sensors, a first data cube representative of first electromagnetic emission spectra from the fluorophors in response to excitation signals having two or more different wavelengths;
• isolating a second data cube from the first data cube, the second data cube comprising a plurality of data matrices, each data matrix being representative of an individual emission spectrum from a retinal pigment epithelium (RPE) of the eye in response to the excitation signal at each of the different wavelengths;
• identifying one or more Gaussian functions for each data matrix, wherein each Gaussian function is an initial approximation representative of a spectral component of the corresponding individual emission spectrum;
• and
• analyzing the second data cube using non-negative tensor factorization initialized with the one or more Gaussian functions for each data matrix to generate one or more component matrix functions, wherein the component matrix functions are concatenated across the plurality of data matrices such that each component matrix function is a common approximation representative of each corresponding spectral component shared across each individual emission spectrum.

A hyperspectral imaging device for detecting fluorophors in an eye, comprising:

• a light source configured to deliver an excitation signal to the eye;
• a hyperspectral sensor configured to collect hyperspectral data in a first data matrix representative of a first electromagnetic emission spectrum from the fluorophors in response to the excitation signal;
• a processing arrangement configured to isolate a second data matrix from the first data matrix, the second data matrix being representative of a second electromagnetic emission spectrum from a retinal pigment epithelium (RPE) of the eye in response to the excitation signal;
• and
• an analyzing arrangement configured to identify one or more Gaussian functions, wherein each Gaussian function is an initial approximation representative of a spectral component of the second electromagnetic emission spectrum, and analyze the second data matrix using non-negative matrix factorization initialized with the one or more Gaussian functions to generate one or more component matrices, wherein each component matrix is a second approximation representative of the corresponding spectral component of the second electromagnetic emission spectrum.