45 results about "Raman imaging" patented technology

The invention provides a crystal quality detection method and system, and the method comprises the steps: positioning a wafer sample to a position below an objective lens through a sample conveying platform, and enabling the focus of the objective lens to be at the center of the wafer sample; when the objective lens linearly moves within the radius range relative to the wafer sample, carrying out microscopic imaging to obtain an image; when the intensity fluctuation of the image is greater than a set threshold value, performing Raman imaging to obtain a three-dimensional hyperspectrum; processing each Raman spectrum in the three-dimensional hyperspectrum to obtain a spectrum peak curve, a peak width curve and a peak position curve; when a first-order derivative tends to zero after the spectral peak curve, the peak width curve and the peak position curve are fitted, longitudinal scanning is ended; converting the spectrum peak intensity, the peak width and the peak position generated by the three-dimensional hyperspectrum into characteristic information, and calculating a wafer quality coefficient; determining the quality of the wafer sample according to the wafer quality coefficient; the measurement of different depths can be carried out on the crystal (including a wafer sample); and nondestructive, rapid and accurate quality analysis at normal temperature and normal pressure is realized.

The invention relates to the field of biological cells, and particularly discloses a method for quantitatively analyzing metabolites in biological cells based on a Raman spectrum technology, and the method comprises the following steps: S1, collecting a Raman spectrum data set; s2, metabolite with uniform distribution and metabolite with stable content in the cells to be compared are selected as internal standards; s3, extracting the Raman characteristic peak area of the target object, and performing Raman distribution imaging in the cells according to the Raman characteristic peak area of the target object to obtain Raman imaging pictures of a plurality of substances; s4, performing Raman imaging normalization on the target object; s5, converting the normalized Raman peak intensity of the target object into a thermal image, and presenting Raman signals with different intensities in different colors to obtain an intracellular distribution diagram of each component of the intracellular metabolite; and S6, spatial distribution and quantitative analysis of intracellular metabolites. The method disclosed by the invention has the advantages of in-situ, nondestructive, high speed, quick effect, capability of simultaneously and quantitatively analyzing various metabolites on the subcellular scale and the like.

The invention relates to the technical field of substrate material surface plating, in particular to a method for electrochemical plating of a perovskite thin film through an ionic electrolyte, and the method comprises the following steps: S1, preparing the ionic electrolyte containing a double-complexing agent system and a two-dimensional nano filler; s2, the ion electrolyte and the substrate are placed in a rotating magnetic field for a pulse electrodeposition process, and ultrasonic waves are applied to the bottom of the rotating magnetic field; s3, adopting an asymmetric third-order pulse waveform in the pulse electrodeposition process; s4, in the pulse electrodeposition process, synchronizing terahertz time-domain spectroscopy and confocal Raman imaging to monitor grain boundary defects of the deposition layer; and S5, entering an annealing stage after the process is ended, and introducing pyrrolidone steam to form a C-N bond passivation layer. According to the method, the ion electrolyte containing the specific double complexing agent system and the two-dimensional nano filler is accurately prepared, so that the uniformity and efficiency of the plating process are improved, and the stability of the ion electrolyte is ensured.

The invention discloses a two-stage Raman hyperspectral imaging method, which relates to the technical field of spectral signal analysis and comprises the following steps: S0, preprocessing Raman hyperspectral data to remove abnormal values; the method comprises the following steps: S1, taking a wave number where a target characteristic peak is located as a target wave number, and based on a neighborhood of the target wave number in Raman hyperspectral data, performing spectrum denoising on the Raman hyperspectral data by using an adaptive low-rank matrix approximation algorithm to obtain the Raman hyperspectral data after spectrum denoising; and S2, using an improved BM3D method based on a rotating block to carry out image denoising on a Raman image after Raman imaging is carried out on a target wave number in the Raman hyperspectral data after spectrum denoising. According to the method, the neighborhood of the target wave number is used as the target area, the adaptive low-rank matrix approximation algorithm is used for spectrum denoising, then the improved BM3D method based on the rotating block is used for image denoising, Raman hyperspectral fast and efficient imaging is achieved, and the method has the advantages of being good in denoising effect, high in speed and light in weight.

The invention provides a line scanning differential confocal Raman microscopic spectrum co-fusion imaging system, which belongs to the microscopic imaging technology, and comprises a light spot illumination module, a confocal imaging module, a Raman imaging module, a line scanning module and a control module, the confocal imaging module is used for enabling reflected light of a sample to be detected to equivalently enter the first camera, the second camera and the third camera so as to obtain pre-focus, focal plane and post-focus images of the sample to be detected, and the Raman imaging module is used for obtaining chemical Raman component spectrum information; the control module obtains a confocal image with surface height information of the to-be-detected sample according to the pre-focus image, the focal plane image and the post-focus image of the to-be-detected sample, and synchronously fuses the confocal image and the chemical Raman component spectrum information to obtain a four-dimensional image comprising the three-dimensional surface topography and the chemical Raman component spectrum of the to-be-detected sample. According to the invention, map co-fusion can be realized, and more visual multi-dimensional measurement information can be obtained.

The invention belongs to the field of laser microdissection, and relates to a laser microdissection system based on coherent Raman imaging and application thereof.The device comprises a femtosecond laser, a beam splitter, a dichroscope and a laser scanning microscope, and a pump light path and a Stokes light path are arranged between the beam splitter and the dichroscope; an optical parametric amplifier and a movable dispersion broadening module are arranged in the pump light path; the Stokes light path is internally provided with a Martin inner z stretcher; a femtosecond laser beam is split through a beam splitter and then enters a pump light path and a Stokes light path, one beam generates wavelength-tunable first pump light through an optical parametric amplifier, and the other beam generates Stokes light through the Stokes light path; the first pump light and the Stokes light are combined in the dichroscope, and the laser scanning microscope is used for carrying out coherent Raman imaging by using the combined light and is also used for carrying out laser microdissection according to a coherent Raman image. According to the invention, the accuracy, selectivity and real-time performance of the laser microdissection process can be obviously improved.

The invention discloses an SERS (Surface Enhanced Raman Scattering) diagnostic apparatus based on an enzyme-like catalysis Au-graphene nano composite material, and relates to the technical field of spectrum diagnostic equipment, the SERS diagnostic apparatus comprises a display, a shell, an imaging module, a sample loading module, a grating light source module, a host, a laser light source module and a light path module, the sample loading module comprises a disposable micro-fluidic chip box and a sample loading table, an enzyme-like catalysis Au-graphene nano composite material is fixed on the inner channel wall of the disposable micro-fluidic chip box and is used for performing dual-mode signal amplification on tumor markers in urine. Urine sampling-detection can be completed at a time, the whole process is non-invasive, the enzyme-like catalysis Au-graphene nano composite material has high SERS enhancement and peroxidase-like activity, does not agglomerate in high-ionic-strength urine, can be seamlessly connected into a conventional urine detection process through dual-mode signal amplification and high sensitivity in cooperation with a Raman imaging technology and an AI analysis technology, and can be applied to the field of urine detection. And early rapid screening and dynamic monitoring of the malignant tumor of the urinary system are realized.

The invention relates to a hybrid nanocarrier system comprising engineered metal nanoparticles (MeNP), a flavonoid (Fl), a Raman-active molecule (RAM), poly(allylamine hydrochloride) (PAH), genetic material (GM), and poly(styrene sulfonate) (PSS), designed for use in fields such as gene therapy, cancer treatment, chemotherapy, treatment of genetic diseases, innovative vaccine technologies, the production of innovative antibiotics for antibacterial and antimicrobial therapies, drug delivery, the dietary supplement market, Raman imaging systems, biotechnological applications, and the agrochemical industry.

This invention belongs to the field of imaging analysis technology and discloses a rapid detection method for illegal food additives based on Raman imaging. The method includes: at the start of the detection task, performing sparse Raman imaging scanning on the boundary of the target region of the sample to be tested to obtain a target pixel spectrum set; constructing a reference spectrum set, and generating a detection wavenumber interval by analyzing the stability changes of the wavenumber highlight ratio in the reference spectrum set and the spatial thermal variation characteristics of different wavenumbers in the sample to be tested; obtaining an evidence heatmap by analyzing the similarity of the detection intensity of candidate gratings in the reference spectrum set and the target pixel spectrum set within the detection wavenumber interval; continuously updating the target pixel spectrum set by analyzing the correlation between the change attributes of evidence gain and the growth of connected regions in the evidence heatmap; and outputting suspicious regions by analyzing the convergence change attributes of the evidence coverage heat increment and the stability characteristics of the region to be matched. This invention generates spatial evidence and location results for suspicious regions more quickly.

Electrode for lithium secondary battery and lithium secondary battery comprising the same. This disclosure relates to an electrode for a lithium secondary battery that not only effectively suppresses heat generation or ignition and thus has additional enhanced stability, but also enables the arrangement of batteries that exhibit excellent charge / discharge characteristics, and a lithium secondary battery comprising the same.The electrode for a secondary lithium battery comprises a metal current collector; and an active electrode material and a conductive material, and also comprises an active material layer formed on the metal current collector, wherein the active material layer further comprises a conductive polymer that exhibits a peak in the 1350 to 1600 cm⁻¹ band during Raman spectrum analysis, and exhibits PTC (positive temperature coefficient) characteristics, and wherein, when a cross-section of the active material layer is subjected to Raman imaging analysis, the conductive polymer is distributed in an amount of 90% by weight or more within a region that reaches 10% of the thickness of the active material layer from the surface of the metal current collector.

This invention discloses a hardware-software co-processing method for real-time spectral signal processing in Raman microscopy, belonging to the field of spectral signal processing technology. The method includes: establishing strict temporal constraints between physical displacement and cloud inference, and initiating asynchronous communication using the physical gaps in stage movement; simultaneously, deploying a deep learning model (F2P) pre-trained with a self-supervised masking strategy in the cloud. This pre-trained model utilizes the structural correlation between the Raman broadband background and narrowband characteristic peaks to directly perform real-time forward inference on the input single-frame noisy spectrum, achieving millisecond-level high-fidelity reconstruction of a single frame without any complex parameter tuning or the need for a clean control spectrum. This invention completely eliminates the physical lag in multi-frame processing and the general technical bias of supervised learning algorithms, achieving true "synchronization between acquisition and display," and significantly improving the real-time processing performance and cross-device automated deployment capabilities of in-situ Raman imaging.

Raman imaging of a measurement area on a certain cross-section of the silicon nitride sintered body according to an embodiment of the present invention yields a mapping where (1) among a region of silicon nitride crystal particles oriented in a direction nearly aligned with a direction perpendicular to the certain cross-section in the measurement area and a region of silicon nitride crystal particles oriented in a direction nearly aligned with a direction parallel to the certain cross-section, the region of silicon nitride crystal particles having a smaller area ratio is defined as a first region, and (2) the region of silicon nitride crystal particles having a larger area ratio is defined as a second region; (3) a region of the grain boundary phase of a rare earth element-aluminum-oxygen system in the measurement area is defined as a third region; (4) a region of a substance including at least one of titanium, hafnium, tungsten, molybdenum, and silicon carbide in the measurement area is defined as a fourth region; and the area ratios of the first region, the second region, the third region, and the fourth region are 0.5%-8%, 70%-92%, 2%-16%, and 0.5%-8%, respectively.

The present invention provides a nonlinear optical coupling device and system, belonging to the field of material information characterization technology. This device utilizes the correlation between the Raman optical path and the nonlinear optical path to simultaneously complete the acquisition of Raman single spectrum and Raman imaging, as well as nonlinear optical data such as second harmonic and third harmonic single spectrum and imaging on the same sample. This results in a compact optical path structure, stable optical path, good adjustability, easy operation, and strong practicality. It has broad application prospects in the field of optical characterization.

The invention provides a flexible surface enhanced Raman (SERS) material one-step in-situ synthesis method, which comprises the following steps of: preparing a porous Ag NPs (at) PDMS (polydimethylsiloxane) substrate by taking sodium citrate as a pore-forming agent and a reducing agent; the porous structure of the substrate provides dense attachment sites for silver nanoparticles (Ag NPs), a nanoscale adsorption channel network is formed, and micro-plastic pollutants such as polyethylene, polypropylene and polystyrene can be rapidly enriched in a complex water medium. The substrate can simultaneously distinguish, recognize and detect various micro-plastics, multi-component synchronous determination is realized, and the spatial distribution of each component can be intuitively presented by combining a Raman imaging technology. Meanwhile, the substrate can be recycled for multiple times, and the method has remarkable application value in the field of environmental micro-plastic pollution multi-component monitoring.

The application belongs to the technical field of biological probes, and relates to a PD-L1 guided specific targeted CTC detection combined with tumor boundary distinguishing biological probe and a preparation method thereof. The PD-L1 guided specific targeted CTC detection combined with tumor boundary distinguishing biological probe comprises a core, a covalent organic framework and a PD-L1 antibody, the core comprises a superparamagnetic nanoparticle, the covalent organic framework is coated on the surface of the core, and the PD-L1 antibody is combined on the surface of the covalent organic framework. The PD-L1 guided specific targeted CTC detection combined with tumor boundary distinguishing biological probe prepared by the application can be transported into the body across the membrane, smoothly enter a PD-L1 positive malignant tumor lesion, and perform Raman imaging to microscopically distinguish the tumor boundary.

The present invention discloses an auxiliary analysis system and method for intestinal tissue based on the combination of multimodal data. The multimodal intestinal tissue detection system includes a multimodal imaging system and an intestinal lesion assessment system; the multimodal imaging system organically combines OCE imaging, OCT imaging, white light imaging and Raman imaging systems. Among them, OCE imaging reflects the elastic properties of intestinal lesion tissue, OCT imaging reflects the deep structural characteristics of intestinal lesion tissue, white light imaging reflects the mucosal surface manifestations of intestinal tissue, and Raman imaging reflects the molecular mechanism characteristics of intestinal lesion tissue. Utilizing the different characteristics reflected by the four modalities, the intestinal lesion assessment system extracts OCE feature vectors, OCT feature vectors, white light feature vectors and Raman spectrum feature vectors respectively, and uses a multimodal feature fusion classification module for processing, thereby realizing deep fusion and classification decision-making of multimodal information.

The invention discloses a free silicon dioxide content determination and analysis method which specifically comprises the following steps: A1, quickly screening a dust sample to be detected by adopting laser-induced breakdown spectroscopy to obtain the characteristic spectral intensity of a silicon element in the sample, and preliminarily judging the existence probability of free silicon dioxide; a2, performing synchrotron radiation X-ray diffraction analysis on the sample subjected to laser-induced breakdown spectroscopy screening, and realizing second-level silicon element pre-judgment through laser-induced breakdown spectroscopy rapid screening by utilizing the characteristics of high flux and high resolution of a synchrotron radiation light source, so as to avoid deep analysis of an invalid sample and improve the detection accuracy; synchrotron radiation X-ray diffraction high-throughput scanning is combined with Raman imaging automatic identification, and microwave-ultrasonic cooperative sample preparation shortens the pretreatment time of a traditional pyrophosphoric acid method by 80% or more, the time consumed by the whole process is shortened to 30 minutes or less from several hours of the traditional method, 90% of manual operation links are reduced, and the method is suitable for high-throughput analysis of large-batch industrial dust samples.

The present invention provides a time-gated Fourier Raman fluorescence lifetime device, comprising: a laser module, a Raman imaging module, an interference module, a calibration module, and a detection module; the device greatly improves the time resolution and Raman spectrum resolution of the device, not only realizing Fourier time-gated Raman, achieving a time resolution of 300 picoseconds, and obtaining a 4-dimensional Raman spectrum, but also realizing the two functions of testing Raman spectrum and fluorescence lifetime imaging, combining the two instrument functions into one, reducing the research costs of scientific researchers, and having a broad scientific research market.

The present invention provides a chlorinated polyvinyl chloride resin that provides a molded article having excellent heat cycle characteristics and excellent weather resistance, as well as a resin composition for molding and a molded article each including the chlorinated polyvinyl chloride resin. Provided is a chlorinated polyvinyl chloride resin having an average of a ratio (A / B) of a peak intensity A observed in a range of 300 to 340 cm−1 to a peak intensity B observed in a range of 1,450 to 1,550 cm−1 of 3.5 to 40.0 in Raman imaging measurement by Raman spectroscopy.

The invention relates to a method for noninvasively evaluating age-dependent metabolic characteristics of mouse oocytes. The method comprises the following steps: S1, collecting oocytes of mice at different month ages; s2, treating the oocytes to obtain a sample capable of being used for spontaneous Raman spectroscopy and imaging; s3, performing spontaneous Raman spectroscopy and imaging of different oocytes; s4, processing and analyzing Raman spectrum data; s5, processing and analyzing two-dimensional and three-dimensional Raman imaging; s6, analyzing morphological and spectral characteristics of oocytes of mice of different age groups; and S7: determining the specific age-related change of the lipid content and distribution, the cytochrome c level and the metabolic profile in the mouse oocytes. Compared with the prior art, the method has the advantages that the metabolic change of the oocytes of mice with different maternal ages is analyzed by Raman spectrum for the first time, the age-dependent distribution change of lipid and cytochrome c is revealed through high-resolution subcellular mapping, and a new research scheme is provided for the biochemical mechanism of oocyte senescence.

The invention relates to the technical field of spectral analysis, in particular to a large-view-field snapshot type Raman imaging system, in a microscopic imaging light path, a first light source irradiates a to-be-detected sample, and a microscopic imaging assembly receives a light beam generated by the to-be-detected sample and performs microscopic imaging on the to-be-detected sample; a first micro-lens array in the Raman excitation light path corrects a light beam emitted by a second light source into a surface-excited point light source array, and the point light source array irradiates a to-be-detected sample, so that the to-be-detected sample is excited by the point light source array to form Raman scattering light; raman scattering light in the imaging spectrum light path enters the spectrograph through the second micro-lens array, the second micro-lens array cuts the image surface of the microscopic imaging light path and divides the image surface into a plurality of units, and the units are rearranged in the two-dimensional space dimension. By adopting the microlens array, Raman spectrum imaging is realized while high-resolution microscopic imaging is performed, and the problems of small imaging area and low analysis speed of Raman spectrum imaging detection are solved.

This invention relates to the field of photoelectric detection technology and discloses a perovskite charge transport element, which consists of a conductive substrate, an electron transport layer, and a perovskite photosensitive layer. The perovskite charge transport element can be used to fabricate perovskite solar cells. This invention also discloses a method for detecting the effectiveness of charge transport at the electron transport layer / perovskite photosensitive layer interface in a perovskite solar cell. By utilizing the signal intensity of probe molecules in surface Raman imaging, the effectiveness of charge transport at the electron transport layer / perovskite photosensitive layer interface in a perovskite solar cell can be rapidly detected using surface-enhanced Raman spectroscopy. This method can complete the detection without assembling a noble metal back electrode, is simple to operate, low in cost, and exhibits high sensitivity and accuracy.

The invention relates to a preparation method and application of a capsule-shaped internal standard gap Raman probe. The preparation method comprises the following steps: firstly, preparing a gold nanorod by using a seed mediated growth method in which 5-bromosalicylic acid participates, and then preparing a capsule-shaped gold-core silver-shell nanorod embedded with a Raman signal molecule 4-NBT; finally, preparing the capsule-shaped internal standard gap core-shell nanoprobe by utilizing an electrochemical replacement method, wherein the Raman intensity of the capsule-shaped gold-core silver-shell nanoprobe at 1331 cm <-1 > is obviously improved; by introducing a capsule-shaped gap structure, a controllable nano gap (1-15nm) is formed between a core-shell outer layer and a capsule shell, so that a local electromagnetic field is doubly superposed on a core-shell interface and a gap region, and a synergistic enhancement effect is generated; by adopting an internal standard method, relatively high stability and accuracy can be kept in a long-time measurement or continuous monitoring process, and the method has the advantages of high environmental interference resistance and good wide-spectrum detection compatibility; the method is applied to the technical fields of in-vitro diagnosis, biomedical Raman imaging and biological anti-counterfeiting.

This invention discloses a Raman method for characterizing the domain structure of molecular ferroelectric materials. The method includes the following steps: Step 1: Determine the crystal growth direction and crystal planes of the material; Step 2: Acquire variable-temperature Raman spectra; Step 3: Analyze the variable-temperature Raman spectra to determine the Raman vibrational modes closely related to polarization; Step 4: Calculate the angle between the characteristic Raman vibrational modes and the crystal growth direction; Step 5: Construct a polarization Raman testing system and acquire Raman spectra at different polarization angles; Step 6: Process the angle-dependent polarization Raman spectra; Step 7: Plot the "angle-peak intensity (peak width or peak position)" diagram of the characteristic Raman peaks; Step 8: Fit the data from Step 7 to determine the angle between the characteristic Raman vibrational modes and the crystal growth direction; Step 9: Perform polarization Raman imaging at the angle where the peak intensity (peak width or peak position) reaches its extreme value. This invention effectively fills the gap in non-contact, non-destructive characterization methods for the domain structure of molecular ferroelectric materials.

The invention discloses a near-infrared light triggered nano-drug controlled release integrated system for precise tumor treatment, and relates to the technical field of tumor treatment, and the key points of the technical scheme are as follows: the system comprises a tumor positioning module for precisely positioning a tumor part and obtaining tumor information; the near-infrared light trigger module emits near-infrared light to trigger the nano-drug carrier module to release drugs; the drug release monitoring module monitors the drug release amount and the release rate in real time; and the central control module sends a control signal according to the tumor information and the monitoring data, and adjusts the wavelength, the intensity and the irradiation time of the near-infrared light so as to realize accurate control of drug release. The tumor three-dimensional information is extracted through an image algorithm to realize accurate positioning of the tumor, near-infrared light parameters are dynamically adjusted in combination with drug release monitoring data, accurate regulation and control of drug release are completed, meanwhile, distribution and release of drugs in vivo are tracked through fluorescence or Raman imaging, and the accuracy of drug release is improved. The problems that traditional treatment medicine release is invisible, and the effect is difficult to evaluate are solved.

The invention discloses a Raman spectrum imaging method for a semi-solid preparation, and relates to the technical field of Raman imaging.The method comprises the steps that an original sample (such as cream and gel plaster) of the semi-solid preparation is taken, the original form of the original sample is kept, grinding, dissolving or chemical modification is not conducted, the sample is placed on an inert slide glass of a two-dimensional translation table, and the sample is placed on a Raman spectrometer; the advantages of no mark, no sample preparation, high specificity and the like of the Raman spectrum technology are utilized, microscopic imaging and chemometrics analysis are combined, crystal form identification, component distribution visualization and quantitative analysis of the active pharmaceutical ingredient (API) in the semi-solid preparation are achieved, and the method can be applied to quality control, process optimization and consistency evaluation of the semi-solid preparations such as cream and gel, and has a wide application prospect. The method overcomes the defects that a traditional XRD method needs sample preparation and cannot realize online monitoring, and has the advantages of high resolution, real-time performance and full quantitative analysis capability.

The present invention relates to the field of medical imaging technology, and more specifically, to a short-wave infrared Raman and fluorescence imaging device for living animals and its implementation method. The device comprises an imaging cavity, a short-wave infrared excitation module, a Raman imaging and fluorescence imaging module, a sample carrier, and an anesthesia unit. The sample carrier is disposed in the imaging cavity, the short-wave infrared excitation module is disposed on the side wall of the Raman imaging and fluorescence imaging module in the imaging cavity, the Raman imaging and fluorescence imaging module is disposed on the inner top of the imaging cavity, the anesthesia unit is disposed on one side of the imaging cavity, and the anesthesia unit is connected to the imaging cavity via a pipeline. The device can effectively improve imaging sensitivity and resolution, solve the problems of signal interference, inaccurate imaging registration, and multimodal integration existing in the prior art, and realize efficient and accurate imaging of living small animals in different imaging modes. The present invention is mainly used in the field of short-wave infrared Raman and fluorescence imaging of living animals.

A high-temporal-spatial-resolution multiplexed wide-field Raman imaging system and method based on flat-top illumination includes a light source module, a laser modulation module, a confocal excitation module, a wide-field excitation module based on flat-top illumination, a spectral module, a wide-field imaging module, and a spectral and image control module. The confocal excitation mode is used to obtain a high-signal-to-noise ratio Raman spectrum to determine the characteristic peaks of the Raman spectrum. The wide-field excitation mode based on flat-top illumination can excite the sample with a large field of view and uniform intensity, while simultaneously achieving rapid detection of a single Raman characteristic peak or monitoring of its dynamic changes with high spatiotemporal resolution. It can also capture wide-field hyperspectral images covering the entire spectral range. Multiplexed wide-field imaging enables fully spatiotemporally synchronized monitoring and comparison of the dynamic changes of multiple characteristic peaks. This system facilitates accurate quantitative or qualitative analysis of systems with spatially heterogeneous sample distribution, intensity fluctuations, or dynamic changes, and has broad application prospects in fields such as biomedicine and physical chemistry.

In the Raman imaging of the silicon nitride sintered body in the embodiment through a measurement section on a specific cross section, (1) the region of silicon nitride grains with smaller area in the region of silicon nitride grains oriented in a direction close to the perpendicular direction of the specific cross section and the region of silicon nitride grains oriented in a direction close to the parallel direction of the specific cross section is set as the first region, (2) the region of silicon nitride grains with larger area is set as the second region, (3) the region of rare earth element-aluminum-oxygen grain boundary phase in the measurement section is set as the third region, (4) the region of the measurement section containing at least one of titanium, hafnium, tungsten, molybdenum and silicon carbide is set as the fourth region and the mapping is performed, the area ratios of the first region, the second region, the third region and the fourth region are 0.5% or more and 8% or less, 70% or more and 92% or less, 2% or more and 16% or less, and 0.5% or more and 8% or less, respectively.

The application relates to a Raman denoising method, which comprises the following steps: performing encoding processing on an initial feature map of a Raman spectrum or a Raman image to obtain an encoded feature map; wherein the encoding processing comprises the following steps: performing feature extraction processing on the initial feature map to obtain an encoded separated feature map, and performing feature fusion processing on the encoded separated feature map to obtain the encoded feature map; performing dimension integration and feature integration processing on the encoded feature map to obtain a bearing feature map; performing decoding processing on the bearing feature map to obtain a decoded feature map of the corresponding Raman spectrum or Raman image after filtering out noise; wherein the decoding processing comprises the following steps: performing expansion processing on the encoded feature map to obtain a sampling feature map, splicing the sampling feature map and the encoded separated feature map to obtain a decoded splicing feature map, and performing feature extraction processing on the decoded splicing feature map to obtain the decoded feature map. The application can simultaneously consider the spatial dimension and the spectral dimension to perform Raman spectrum or Raman image denoising, and the denoising effect is strong.