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Single cell Raman spectrum acquisition number estimation method, data processing method and device

A Raman spectrum and single-cell technology, applied in the field of data processing, can solve the problem of inaccurate calculation of the number of Raman spectra collected

Pending Publication Date: 2022-03-15
GUANGZHOU MEDICAL UNIV
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Problems solved by technology

[0013] However, in this existing binomial distribution statistical model, regardless of whether the spectra of the target analyte and other substances overlap, that is, regardless of whether there is background noise, the calculated number of spectral acquisitions is the same, which is obviously unrealistic. The calculation of the number of Raman spectrum acquisitions is not accurate enough

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  • Single cell Raman spectrum acquisition number estimation method, data processing method and device
  • Single cell Raman spectrum acquisition number estimation method, data processing method and device
  • Single cell Raman spectrum acquisition number estimation method, data processing method and device

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[0106] 1. When the purpose of pattern recognition is cell visualization analysis, according to the dimensionality reduction analysis method or cluster analysis method selected by the user on the operation interface, the different substances in the single cell in the Raman spectral data are classified, and according to the different substances Classification information is used for data reorganization to obtain single-cell visualization information to establish a pattern recognition model.

[0107] In the cell visualization analysis, the input Raman spectrum data of the cell visualization analysis consists of a spectral matrix, the size of which is the number of pixels of Raman spectrum x the number of wavelengths. Before cell visual analysis, the number of Raman spectrum collection points can be displayed on the operation interface, and then the user can input the number of horizontal and vertical data collection points and select a specific wavelength through the operation int...

example

[0129] Analysis Example (2): Cell Classification Analysis

[0130] Data introduction: human induced pluripotent stem cells (HiPSC, 1560), neural stem cells (NSC, 979) and nerve cells (Neuron cell, 1128) in 010S cell line;

[0131] Raman spectroscopic conditions: HR Evolution confocal Raman microscope Raman confocal spectroscopic system (Horiba Jobin-Yvon), excitation wavelength: 532 (NA=1), repeated measurement for each cell three times;

[0132] Raman spectral data: raw Raman spectral data such as Figure 18 As shown, the data size is 3667 (number of cell samples)*1019 (number of wavelengths). 3667 is the number of Raman spectrum measurements, including some repeated samples.

[0133] Analysis results: After removing noise, cosmic rays and background, and smoothing, the original Raman spectral data is classified using the t-SNE algorithm. The analysis results of the t-SNE algorithm are as follows: Figure 19 shown, from Figure 19 As can be seen in , three different cells...

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Abstract

The invention belongs to the technical field of data processing, and discloses a single-cell Raman spectrum acquisition number estimation method, a data processing method and a data processing device. The single-cell Raman spectrum acquisition number method comprises the following steps: calculating according to a Raman spectrum signal-to-noise ratio, percentage content and a specified threshold value of a target analyte to obtain a probability value that the target analyte is detected; then, the collection number of the Raman spectrums is calculated, so that the detection probability value of the target analyte can be more reasonably calculated under the condition that spectrums of the target analyte and other substances are overlapped, namely background noise exists, and the collection number of the Raman spectrums is more accurately calculated. According to the single-cell Raman spectrum data processing method and the single-cell Raman spectrum data processing device, an analysis process suitable for analyzing single-cell Raman spectrum data is integrated, and a newly developed method for estimating the collection number of Raman data is embedded, so that a semi-automatic analysis platform for single-cell Raman spectrum analysis can be provided for a user; and the single-cell Raman spectrum analysis operation can be simplified.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a single-cell Raman spectrum collection number estimation method, a single-cell Raman spectrum data processing method and a device. Background technique [0002] Raman spectroscopy is an excellent single-cell analysis technique that can non-destructively obtain characteristic information of biochemical substances. However, the Raman bands of biomolecules usually overlap with each other. Furthermore, cells are complex and dynamic biological systems rather than simple disordered distributions of biochemical substances. Therefore, at each data sampling point, that is, each pixel (pixel) in the Raman imaging data, there is a full sequence of Raman spectra, rather than a Raman peak at a certain Raman wavelength. Therefore, Raman imaging data contains characteristic spectral information of multiple biomolecules in cell samples. Through data mining analysis technol...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65
CPCG01N21/65
Inventor 刘亚娟余细勇
Owner GUANGZHOU MEDICAL UNIV
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