Improved Raman spectrum multivariate data analysis and imaging method

Abstract

The invention discloses a Raman spectrum multivariate data analysis imaging method which comprises the following steps: S1, acquiring Raman spectrum original data, and preprocessing the original data; s2, independently or sequentially carrying out normalization, mean centralization and first and second derivative processing on the preprocessed data according to different analysis requirements or spectral noise sources; s3, carrying out classification identification on spectral feature information of the preprocessed data in combination with a classification model; and S4, after a Raman spectrum data set is obtained by utilizing multiple spectrum scanning means, reconstructing a spatial distribution image of the Raman spectrum characteristic physical parameters based on spatial distribution information contained in the Raman spectrum data set. According to the method, the chemical composition characteristics of various organic and inorganic samples represented by biological structures can be effectively identified, qualitative and quantitative identification and classification analysis are carried out on the subsequent composition information, and the spatial distribution information is visually reconstructed.

Description

technical field [0001] The invention relates to the field of Raman spectrum information processing and its spectral feature computer identification, in particular to a Raman spectrum multivariate data analysis and imaging method. Background technique [0002] The Raman spectroscopy method is an optical analysis method that utilizes the Raman effect for spectral analysis. Raman scattering is a weak optical phenomenon, and the spectral information (Raman spectrum) produced by it is easily disturbed by the environment and external factors; secondly, in complex biochemical environments or other systems, different types of biological Molecules have similar biochemical compositions, which lead to overlapping peak positions, uneven peak intensities, and extended peak widths (full width at half maximum) in Raman spectra. [0003] Based on the above background, a Raman spectrum multivariate data analysis and imaging method is proposed. On the basis of realizing the preprocessing of ...

AI Technical Summary

Problems solved by technology

Raman scattering is a weak optical phenomenon, and the spectral information (Raman spectrum) produced by it is easily disturbed by the environment and external factors; secondly, in complex biochemical environments or other systems, different types of biological Molecules contain similar biochemical compositions, which lead to overlapping peak positions, uneven peak intensities, and extended peak widths (full width at half maximum) in their Raman spectra

Images