Multichannel Raman spectrum reconstruction method, terminal equipment and storage medium
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A Raman spectroscopy, multi-channel technology, applied in the multi-channel Raman spectroscopy reconstruction method, terminal equipment and storage medium fields, can solve the problem of difficult to realize real-time exploration of the substance to be tested, etc., to improve the reconstruction speed of Raman spectroscopy, shorten the time time, the effect of optimizing training samples
Inactive Publication Date: 2019-05-24
XIAMEN UNIV
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Compared with the scanning mode, the widefield mode can obtain higher spatial resolution and better dynamic performance, but can only collect single-wavelength spectra in two spatial dimensions
[0004] These processing methods have their own advantages and scope of application, but a common shortcoming is that these methods have improved the time of acquiring Raman spectra compared with conventional Raman spectrometers, but it is still difficult to realize the real-time change of the substance to be measured over time. explore
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Embodiment 1
[0043] refer to figure 1 As shown, the present invention provides a multi-channel Raman spectrum reconstruction method, which includes training samples and analyte substances, wherein the training samples are used to train the model, and the analyte substances complete Raman according to the trained model. Spectral reconstruction.
[0044] The method comprises the steps of:
[0045] S1: Get the Raman spectrum data set R of the training samples from the Raman spectrometer:
[0046] R={r 1 ,r 2 ,...,r i ,...,r k}
[0047] Among them, R is an n×k-dimensional matrix, n is the number of sampling points, k is the sample size, figure 2 Shown is the Raman spectrum of a substance.
[0048] S2: Obtain the multi-channel spectral data set U of the above training samples through the multi-channel optical system:
[0049] U={u 1 ,u 2 ,...,u i ,...,u k}
[0050] Among them, U is a g×k-dimensional matrix, g is the number of multi-channels, and k is the sample size.
[0051] S3...
Embodiment 2
[0070] The present invention also provides a multi-channel Raman spectrum reconstruction terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program The steps in the above method embodiment of Embodiment 1 of the present invention are implemented.
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Abstract
The invention relates to a multi-channel Raman spectrum reconstruction method, terminal equipment and a storage medium. The method comprises the following steps: S1, acquiring a Raman spectrum data set of a training sample; S2, acquiring a multi-channel spectral data set of the training sample; S3, estimating the spectral data of the substance to be detected, judging the similarity between the substance to be detected and the spectral data set of the training sample, and endowing the full spectral data set and the multi-channel spectral data set of the training sample with corresponding weights according to the similarity; S4, setting a linear fitting function r = W * u + e, and determining parameters of the linear fitting function r = W * u + e; And S5, acquiring multi-channel spectral data of the substance to be detected, and reconstructing the Raman spectrum of the substance to be detected according to a linear fitting function r = W * u + e. Aiming at known substances to be tested,the method can ensure the solving precision while optimizing a training sample and improving the Raman spectrum reconstruction speed by virtue of multi-channel data, and is convenient for researchingthe change rule of the Raman spectrum along with time.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a multi-channel Raman spectrum reconstruction method, a terminal device and a storage medium. Background technique [0002] Raman spectroscopy was developed on the basis of the Raman scattering effect discovered by Indian scientist C.V.Raman. It is a detection technology for analyzing molecular chemical composition, structure and other information. It has rich information, simple sample preparation, and water interference. Small and non-invasive, it can obtain the spectral information of tissues or cells under close to physiological conditions, so as to explain life-related phenomena from the molecular level, so it occupies an increasingly important position in the fields of life sciences and biomedicine. However, Raman scattering is inefficient, and spontaneous Raman signals in most biological samples are weaker than fluorescent signals or elastic scattering. Therefore...
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