Microorganism single cell species identification method, device, medium and equipment

Abstract

The invention relates to a microbial single cell type identification method, device, medium and equipment, and the method comprises the following steps: carrying out comparative analysis on collected single cell Raman spectrum data and Raman spectrum data in a reference spectrum database, and screening out Raman spectrum data meeting conditions; taking the screened Raman spectrum data as a sample, and calculating according to a specific spectrum characteristic value in the spectrum data sample to obtain the minimum sample spectrum detection quantity of the sample; collecting spectrum data corresponding to the spectrum detection quantity, and standardizing the spectrum data through the calibration transfer model; storing the standardized spectral data and the single cell image data acquired in real time into an omics database; multi-modal feature fusion is carried out on the feature values of the image and the spectrum based on the cell image and the spectrum data in the single-cell phenotypic omics database, so that the variety identification of the single-cell phenotypic data is realized, the data integrity is improved, and the single-cell variety identification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of microorganism detection, in particular to a method, device, medium and equipment for identifying the type of microorganism single cell. Background technique [0002] The traditional identification of pathogenic bacteria in clinical practice is mainly through the culture method. This method has a long detection time and must reach the level of pure culture without other microorganisms before systematic identification. System identification is to detect the morphological structure, growth characteristics, antigenicity and pathogenicity of pathogenic bacteria, and use known standard immune serum to determine the genus, species and type of isolated bacteria. The procedure of microbial identification is usually based on its morphology, growth, biochemical characteristics, etc., and finally based on the immunoserological examination of the antigen. It generally takes 14-40 hours to identify, and longer for dif...

AI Technical Summary

Problems solved by technology

However, the existing Raman technology for the detection of single-cell samples has the problems of being unable to combine single-cell images and spectral data, poor data integrity, and low identification accuracy.

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