METHOD FOR CLASSIFICATION OF THE SAMPLE BASED ON SPECTRAL DATA, METHOD FOR CREATING A DATABASE, METHOD FOR USING THIS DATABASE AND THE COMPUTER PROGRAM APPROPRIATE, THE DRIVE AND THE SYSTEM

摘要

1. A method for classifying a sample in one of at least two classes based on spectral data, comprising the steps of: a) obtaining at least two sets of first spectra for use as reference spectra, each set containing spectra of reference samples belonging to the same class; b) determine for each of the reference spectra the value of the same at least one quantity associated with the spectral attribute; c) associate the probability with different values of the value based on Vania certain values; d) spectrum obtained from a sample and determine the value of the same, at least one value of the spectrum; (e) Calculate, based on the probabilities and magnitude values for the resulting spectrum, for each of the at least two classes mentioned, the probability that the sample belongs to this class. 2. The method of claim 1, wherein the spectral data comprises a Raman spectrum, a near infrared spectrum, an IR Fourier spectrum, a frequency spectrum, a MALDI mass spectrum or a MALDI time-of-flight mass spectrum, preferably a MALDI time-of-flight mass spectrum. The method of claim 1 or 2, wherein the reference spectra and the spectrum obtained from the sample are single particle spectra. The method of claim 1, wherein the sample is a biological sample. The method of claim 4, wherein the biological sample contains microorganisms, and the classification contains a classification of microorganisms. A method according to claim 1, wherein at least one quantity is selected based on a characteristic spectral feature of the reference class. The method according to claim 1, containing calculation for the spectrum of the sample for which the value of I is obtained,