Spectrum plane distribution calibration method based on Raman spectrum
By transforming and calibrating the capillary array based on Raman spectroscopy, the high cost and low efficiency problems of the traditional spectral plane distribution calibration method are solved, and more efficient and lower cost spectral plane distribution calibration is achieved, which improves applicability.
Patent Information
- Application Number
- CN202411213102.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-30
- Publication Date
- 2025-01-17
AI Technical Summary
The traditional spectral plane distribution calibration method has high computational complexity, slow processing speed, high cost and poor applicability when processing complex samples or large data volumes, which limits its efficiency and practicality in practical applications.
By using Raman spectroscopy-based method, the Raman spectrum of pure water is calibrated by transforming the capillary array, and the Raman spectrum of the separation glue is used to verify the spectral light path to form a spectral distribution image of the capillary array, reducing the cost of light source and improve efficiency.
It greatly reduces the light source cost of the spectral plane distribution calibration method, is simple to operate, improves applicability, and can quickly obtain correction results. It is suitable for non-professional personnel and various places.
Smart Images
Figure CN119322048A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the field of bioinformation technology, and in particular relates to a spectral plane distribution calibration method based on Raman spectroscopy. Background Art
[0002] As an important spectral analysis technology, the spectral plane distribution calibration method has broad application prospects in the fields of spectroscopy, imaging technology and data processing. It can improve the accuracy and reliability of spectral data and provide important support for research in the fields of material analysis, biomedical research, etc. At present, although there have been some related research results, there are still some challenges and defects that need to be solved and improved.
[0003] The traditional spectral plane distribution calibration method has problems such as high computational complexity and slow processing speed when dealing with complex samples or large amounts of data, which limits its efficiency and practicality in practical applications. In addition, the traditional spectral plane distribution calibration method uses the emission spectrum of a series of special light sources (such as mercury lamps, hydrogen lamps, and neon lamps) for calibration, which is expensive, and most light sources need to be adapted to high-voltage power supplies, which require professionals to use in specific places. Therefore, how to improve the accuracy, efficiency, and applicability of the spectral plane distribution calibration method, and how to reduce the cost of using the spectral plane distribution calibration method, are still issues that need to be urgently addressed in current research. Summary of the invention
[0004] In view of the shortcomings of the above-mentioned existing methods, the present invention provides a spectral plane distribution calibration method based on Raman spectroscopy, aiming to solve the core problems of high cost, low efficiency and poor applicability existing in traditional spectral plane distribution calibration methods.
[0005] To achieve the above-mentioned purpose, the present invention is implemented by the following technical solutions: A method for calibrating spectral plane distribution based on Raman spectroscopy, the method comprising the following steps: Step S10: using the capillary array of the device itself to transform the capillary array; Step S20: using a laser to illuminate the capillary array, generating a Raman spectrum of pure water and projecting it onto a camera target surface; Step S30: performing linear verification and preliminary calibration on the Raman spectrum splitting optical path of the camera target surface; Step S40: using the Raman spectrum of the separation gel to verify the splitting optical path; Step S50: After the verification is completed, the capillaries in the capillary array form respective Raman spectrum distributions, forming a spectrum distribution image of the entire capillary array.
[0006] Further, in step S10, the equipment refers to a genetic analyzer, a Sanger sequencer, and a capillary electrophoresis instrument; Furthermore, the capillary array modification in step S10 includes the following steps: Step S101: cutting off the portion of the capillary array including the clustering end and the detection window, and discarding the remaining portion; Step S102: Fill the portion of the capillary array including the clustering end and the detection window with pure water and seal it.
[0007] Furthermore, in step S20, using a laser to irradiate the capillary array to generate a Raman spectrum of pure water and project it onto the camera target surface includes the following steps: Step S201: using a 505 nm laser to irradiate the capillary array to generate a Raman spectrum of pure water; Step S202: Projecting onto the camera target surface through a spectrometer composed of a lens and a grating.
[0008] Wherein, the step S202 includes the following steps: Step S2021: The Raman spectrum first passes through lens 1, which collects and focuses the Raman spectrum onto the plane grating; Step S2022: After entering the plane grating, the Raman spectrum is dispersed by the plane grating and then enters the second lens; Step S2023: After entering the second lens, the Raman spectrum is collected and focused by the second lens again and then projected onto the camera target surface; Wherein, the lens 1 and the lens 2 are lenses in an optical system, and the plane grating is an optical element.
[0009] Furthermore, the linear verification of the Raman spectrum splitting optical path of the camera target surface in step S30 includes the following steps: Step S301: Acquire a Raman light image of a camera target surface; Step S302: recording the corresponding positions of five Raman peaks on the camera target surface; Step S303: Projecting the positions of the five recorded Raman peaks onto a two-dimensional coordinate system for fitting; Step S304: When the fitting coefficient When , the fit is linear and the linearity verification is completed.
[0010] The fitting coefficients in step S304 are The formula is shown in formula 1: #(1) in, is the residual sum of squares, is the total sum of squares.
[0011] Furthermore, the preliminary calibration of the Raman spectrum splitting optical path of the camera target surface in step S30 means that after the above linear verification, the obtained position is used as the starting position of the spectrum.
[0012] Furthermore, in step S40, the use of the Raman spectrum of the separation gel to calibrate the spectroscopic optical path means that a column of Raman peaks with the highest brightness in the Raman spectrum of the separation gel is fixed at a starting position of 143 pixels (24 microns / pixel) at a distance of 500 nm from the camera target surface, so as to revise the starting position to complete the calibration of the spectroscopic optical path.
[0013] Furthermore, after the verification in step S50 is completed, the capillaries in the capillary array form their own Raman spectral distribution, and the spectral distribution image of the entire capillary array means that the capillary array is distributed longitudinally on the camera target surface, and different capillaries form their own Raman spectra, which are projected onto the camera target surface to form the spectral distribution image of the entire capillary array.
[0014] In addition, to achieve the above-mentioned purpose, the present invention further proposes a spectral plane distribution calibration device based on Raman spectroscopy, and the spectral plane distribution calibration device based on Raman spectroscopy comprises: A capillary array modification module is used to modify the capillary array and cut off a small section of the capillary array including the cluster end and the detection window, and fill it with pure water; A Raman spectrum generation module, used for irradiating the capillary array with a laser to generate a Raman spectrum of pure water and project it onto a camera target surface; Linearity verification and preliminary calibration module, used to perform linearity verification and preliminary calibration on the spectroscopic optical path for collecting Raman spectra of pure water; Verification module: used to verify the spectroscopic optical path using the Raman spectrum of the separation gel; Verification result module: After the verification is completed, the capillaries in the capillary array form their own Raman spectrum distribution, forming a spectrum distribution image of the entire capillary array.
[0015] In addition, to achieve the above-mentioned purpose, the present invention also proposes a spectral plane distribution calibration device based on Raman spectroscopy, and the spectral plane distribution calibration device based on Raman spectroscopy includes: a memory, a processor, and a spectral plane distribution calibration program based on Raman spectroscopy stored in the memory and executable on the processor, and the spectral plane distribution calibration program based on Raman spectroscopy, when executed by the processor, implements the steps of a spectral plane distribution calibration method based on Raman spectroscopy as described above.
[0016] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer program product, which includes a spectral plane distribution calibration program based on Raman spectroscopy, and when the spectral plane distribution calibration program based on Raman spectroscopy is executed by a processor, it implements a spectral plane distribution calibration method based on Raman spectroscopy as described above.
[0017] The advantages and effects of the present invention are: The method of the present invention greatly reduces the light source cost of the spectral plane distribution calibration method, and is simple to operate. Only one capillary array is needed, and operators can master the calibration method after simple training, which greatly improves the applicability of the spectral plane distribution calibration method and is no longer limited to professionals and specific places. In addition, the spectral positions of all channels can be calibrated based on only one image acquired from the camera target surface, and the correction results can be quickly obtained, which improves the efficiency of the spectral plane distribution calibration method. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0019] Figure 1 The figure is a schematic flow chart of a method for calibrating spectral plane distribution based on Raman spectroscopy of the present invention.
[0020] Figure 2 Schematic diagram of the capillary array modification steps of the present invention.
[0021] Figure 3 The figure is a schematic diagram of the Raman spectrum acquisition process of the present invention.
[0022] Figure 4 It is a schematic diagram of the Raman spectrum transmission process inside the spectrometer of the present invention.
[0023] Figure 5 It is a diagram of the internal structure of the spectrometer of the present invention.
[0024] Figure 6 The figure is a schematic diagram of the process flow of the optical splitting line linearity verification of the present invention.
[0025] Figure 7 It is a schematic structural diagram of the spectral plane distribution calibration device based on Raman spectroscopy of the present invention.
[0026] Figure 8The present invention is a schematic block diagram of the structure of an electronic device for calibrating spectral plane distribution based on Raman spectroscopy.
[0027] Fig. 9 A diagram of the capillary pattern used for the capillary array modification of the present invention.
[0028] Fig.10 This is a capillary pattern diagram after modification of the present invention. DETAILED DESCRIPTION
[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0030] The present invention provides a method for calibrating spectral plane distribution based on Raman spectroscopy, the method is as follows: Figure 1 As shown, the following steps are included: Step S10: using the capillary array of the device itself to transform the capillary array; Preferably, in step S10, the equipment refers to a genetic analyzer, a Sanger sequencer and a capillary electrophoresis instrument.
[0031] Preferably, the capillary array modification step is performed in step S10 as follows: Figure 2 As shown, including: Step S101: cutting off the portion of the capillary array including the clustering end and the detection window, and discarding the remaining portion; Step S102: Fill the portion of the capillary array including the clustering end and the detection window with pure water and seal it.
[0032] Preferably, the capillary pattern in step S10 is as follows: Fig. 9 As shown in FIG. 1 , it is a consumable commonly used in genetic analyzers, Sanger sequencers and capillary electrophoresis instruments. The modified capillary style is as follows Fig.10 As shown, only the cluster end and the detection window are included.
[0033] Step S20: using a laser to illuminate the capillary array, generating a Raman spectrum of pure water and projecting it onto a camera target surface; Preferably, the step S20 uses a laser to illuminate the capillary array to generate a Raman spectrum of pure water and project it onto the camera target surface. Figure 3 As shown, including: Step S201: using a 505 nm laser to irradiate the capillary array to generate a Raman spectrum of pure water; Step S202: The Raman spectrum is projected onto the camera target surface through a spectrometer composed of a lens and a grating.
[0034] Preferably, the schematic diagram of the Raman spectrum transmission process inside the spectrometer in step S202 is as follows: Figure 4 As shown, the following steps are included: Step S2021: The Raman spectrum first passes through lens 1, which collects and focuses the Raman spectrum onto the plane grating; Step S2022: After entering the plane grating, the Raman spectrum is dispersed by the plane grating and then enters the second lens; Step S2023: After entering the second lens, the Raman spectrum is collected and focused by the second lens again and then projected onto the camera target surface.
[0035] Preferably, the internal structure of the spectrometer is as follows: Figure 5 As shown, lens 1 and lens 2 are a type of lens in the optical system, used to focus light. In a spectrometer, lenses are usually used to collect and focus light, focusing light from a sample or light source onto a grating or detector. The type and performance of the lens will directly affect the focusing effect and spectral resolution of the light. Common lenses used in spectrometers include convex lenses and concave lenses, etc., which are used in combination as needed to achieve precise control and focusing of light.
[0036] Preferably, the plane grating is an optical element, usually composed of a series of parallel grooves or protrusions, used to disperse light and generate a spectrum; in a spectrometer, a grating is used to disperse light of different wavelengths into different angles to generate a spectrum, and the performance of the grating directly affects the resolution and sensitivity of the spectrometer; as needed, the grating can be reflective (such as a reflection grating) or transmissive (such as a diffraction grating), and have different grating constants and line patterns.
[0037] After step S20 , the Raman spectrum is projected onto the camera target surface for subsequent analysis.
[0038] Step S30: performing linear verification and preliminary calibration on the Raman spectrum splitting optical path of the camera target surface.
[0039] Preferably, the linear verification flow chart of the Raman spectrum splitting optical path of the camera target surface in step S30 is as follows: Figure 6 As shown, the following steps are included: Step S301: Acquire a Raman light image of a camera target surface; Step S302: recording the corresponding positions of five Raman peaks on the camera target surface; Step S303: projecting the five recorded Raman peaks onto a two-dimensional coordinate system for fitting; Step S304: When the fitting coefficient When , the fit is linear and the linearity verification is completed.
[0040] Preferably, the fitting coefficient in step S304 is The formula is shown in formula 1: #(1) Preferably, is the residual sum of squares, which represents the sum of squares of the differences between the predicted value and the actually observed value. In the present invention, it represents the sum of squares of the differences between the linear value of the Raman light position and the actually observed value; is the total sum of squares, which represents the sum of squares of the differences between the observed values of the dependent variable and the mean of the dependent variable.
[0041] Preferably, recording the positions of the five Raman peaks on the camera target surface in step S302 refers to recording the positions of the five Raman peaks of 528.2 nm, 534.6 nm, 545.4 nm, 592.1 nm and 608.3 nm on the camera target surface.
[0042] Preferably, the preliminary calibration of the Raman spectrum splitting optical path of the camera target surface in step S30 means that after the above-mentioned linear verification, the obtained position is preliminarily calibrated as the starting position of the spectrum.
[0043] Step S40: Taking into account the slight differences between the capillary array and the capillary array tool actually used, the Raman spectrum of the separation gel is used for verification.
[0044] Preferably, the verification using the Raman spectrum of the separation gel in step S40 means that a column of Raman peaks with the highest brightness in the Raman spectrum of the separation gel is fixed at a starting position of 143 pixels (24 microns / pixel) at a distance of 500 nm on the camera target surface, so as to revise the starting position to complete the verification of the split light path.
[0045] Step S50: After the verification is completed, the capillaries in the capillary array form their own Raman spectrum distribution, forming a spectrum distribution image of the entire capillary array.
[0046] Preferably, the spectral distribution image of the entire capillary array in step S50 means that the capillary array is longitudinally distributed on the camera target surface, and different capillaries form their own Raman spectra, which are projected onto the camera target surface to form the spectral distribution image of the entire capillary array.
[0047] In addition, the present invention also proposes a spectral plane distribution calibration device based on Raman spectroscopy, please refer to Figure 7 , the spectral plane distribution calibration device based on Raman spectroscopy includes: A capillary array modification module is used to modify the capillary array and cut off a small section of the capillary array including the cluster end and the detection window, and fill it with pure water; A Raman spectrum generation module, used for irradiating the capillary array with a laser to generate a Raman spectrum of pure water and project it onto a camera target surface; Linearity verification and preliminary calibration module, used to perform linearity verification and preliminary calibration on the spectroscopic optical path for collecting Raman spectra of pure water; Verification module: used to verify the spectroscopic optical path using the Raman spectrum of the separation gel; Verification result module: After the verification is completed, the capillaries in the capillary array form their own Raman spectrum distribution, forming a spectrum distribution image of the entire capillary array.
[0048] The spectral plane distribution calibration device based on Raman spectroscopy provided in the present application adopts the spectral plane distribution calibration method based on Raman spectroscopy in the above-mentioned embodiment, and can solve the technical problem of spectral plane distribution calibration. Compared with the prior art, the beneficial effects of the spectral plane distribution calibration device based on Raman spectroscopy provided in the present application are the same as the beneficial effects of the spectral plane distribution calibration method based on Raman spectroscopy provided in the above-mentioned embodiment, and other technical features in the spectral plane distribution calibration device based on Raman spectroscopy are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.
[0049] The present application provides a spectral plane distribution calibration device based on Raman spectroscopy, and the spectral plane distribution calibration device based on Raman spectroscopy includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the spectral plane distribution calibration method based on Raman spectroscopy in the above-mentioned embodiment one.
[0050] Reference below Figure 8 , which shows a schematic diagram of the structure of a spectral plane distribution calibration device based on Raman spectroscopy suitable for implementing the embodiment of the present application. The spectral plane distribution calibration device based on Raman spectroscopy in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Pesonal Digital Assistants: Personal Digital Assistants), PADs (Portable Application Descriptions: Tablet Computers), PMPs (Portable Media Players: Portable Multimedia Players), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.10The spectral plane distribution calibration device based on Raman spectroscopy shown is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present application.
[0051] Figure 8 The spectral plane distribution calibration device based on Raman spectroscopy shown may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the spectral plane distribution calibration device based on Raman spectroscopy are also stored in RAM1004. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the spectral plane distribution calibration device based on Raman spectroscopy to communicate wirelessly or wired with other devices to exchange data. Although the spectral plane distribution calibration device based on Raman spectroscopy with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.
[0052] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.
[0053] The spectral plane distribution calibration device based on Raman spectroscopy provided in the present application adopts the spectral plane distribution calibration method based on Raman spectroscopy in the above-mentioned embodiment, which can solve the technical problem of spectral plane distribution calibration. Compared with the prior art, the beneficial effects of the spectral plane distribution calibration device based on Raman spectroscopy provided in the present application are the same as the beneficial effects of the spectral plane distribution calibration method based on Raman spectroscopy provided in the above-mentioned embodiment, and the other technical features in the spectral plane distribution calibration device based on Raman spectroscopy are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.
[0054] The various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.
[0055] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned spectral plane distribution calibration method based on Raman spectroscopy when executed by a processor.
[0056] The computer program product provided in this application can solve the technical problem of spectral plane distribution calibration. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the spectral plane distribution calibration method based on Raman spectroscopy provided in the above embodiment, which will not be repeated here.
[0057] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.
Claims
1. A method for calibrating spectral plane distribution based on Raman spectroscopy, characterized in that: The method comprises the following steps: Step S10: using the capillary array of the device itself to transform the capillary array; Step S20: using a laser to illuminate the capillary array, generating a Raman spectrum of pure water and projecting it onto a camera target surface; Step S30: performing linear verification and preliminary calibration on the Raman spectrum splitting optical path of the camera target surface; Step S40: verifying the light splitting path using the Raman spectrum of the separation gel; Step S50: After the verification is completed, the capillaries in the capillary array form their own Raman spectrum distribution, forming a spectrum distribution image of the entire capillary array; The equipment includes a genetic analyzer, a Sanger sequencer and a capillary electrophoresis instrument.
2. The method for calibrating spectral plane distribution based on Raman spectroscopy according to claim 1, characterized in that: The capillary array modification in step S10 includes: Cutting off a portion of the capillary array including the cluster end and the detection window, and discarding the remaining portion; The portion of the capillary array containing the bundling end and the detection window is filled with pure water and sealed.
3. The method for calibrating spectral plane distribution based on Raman spectroscopy according to claim 1, characterized in that: In the step S20, the laser emits 505 nm laser to irradiate the capillary array.
4. The method for calibrating spectral plane distribution based on Raman spectroscopy according to claim 1, characterized in that: In the step S20, the Raman spectrum of pure water is projected onto the camera target surface via a spectrometer composed of a lens and a grating.
5. The method for calibrating spectral plane distribution based on Raman spectroscopy according to claim 1, characterized in that: The linear verification of the Raman spectrum splitting optical path of the camera target surface in step S30 includes: Acquire the Raman light image of the camera target surface; Record the corresponding positions of a set number of Raman peaks on the camera target surface; Project the position of the recorded Raman peak onto a two-dimensional coordinate system for fitting; When the fitting coefficient When , the fit is linear, and the linearity verification is completed; Fitting coefficients The formula is shown in formula 1: #（1） in, is the residual sum of squares, is the total sum of squares.
6. The method for calibrating spectral plane distribution based on Raman spectroscopy according to claim 1, characterized in that: In the step S30, after linear verification, the Raman spectrum splitting optical path of the camera target surface is preliminarily calibrated, and the position obtained by the preliminarily calibration is used as the starting position of the spectrum.
7. The method for calibrating spectral plane distribution based on Raman spectroscopy according to claim 1, characterized in that: In step S40, the step of using the Raman spectrum of the separation gel to calibrate the split light path is to fix the highest brightness Raman peak in the Raman spectrum of the separation gel at a set position on the camera target surface to revise the starting position to complete the calibration of the split light path.
8. A spectral plane distribution calibration device based on Raman spectroscopy, characterized in that: A capillary array modification module is used to modify the capillary array, cut off the portion of the capillary array including the cluster end and the detection window, and fill it with pure water; A Raman spectrum generation module, used for irradiating the capillary array with a laser to generate a Raman spectrum of pure water and project it onto a camera target surface; Linearity verification and preliminary calibration module, used to perform linearity verification and preliminary calibration on the spectroscopic optical path for collecting Raman spectra of pure water; Verification module: used to verify the spectroscopic optical path using the Raman spectrum of the separation gel; Verification result module: After the verification is completed, the capillaries in the capillary array form their own Raman spectrum distribution, forming a spectrum distribution image of the entire capillary array.
9. A spectral plane distribution calibration device based on Raman spectroscopy, characterized in that: The spectral plane distribution calibration device based on Raman spectroscopy includes: A memory, a processor, and a spectral plane distribution calibration program based on Raman spectroscopy stored in the memory and executable on the processor, wherein the spectral plane distribution calibration program based on Raman spectroscopy, when executed by the processor, implements the spectral plane distribution calibration method based on Raman spectroscopy as described in any one of claims 1 to 7.
10. A computer program product, characterized in that The computer program product comprises a spectral plane distribution calibration program based on Raman spectroscopy, and when the spectral plane distribution calibration program based on Raman spectroscopy is executed by a processor, the spectral plane distribution calibration method based on Raman spectroscopy as claimed in any one of claims 1 to 7 is implemented.