75 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 belongs to the technical field of biology, and discloses a micro-fluidic chip for in-situ single-cell non-label imaging of an upright Raman microscope. Comprising a quartz substrate subjected to surface treatment, a detachable cell chamber, a glass sheet provided with a through hole and a gravity flow channel control system, the cell chamber is used for cell culture before in-situ cell imaging, after cell culture is completed, the cell chamber is taken off, the glass sheet is bonded with the quartz substrate, the glass sheet is used for packaging a chip, and the gravity flow channel control system is used for controlling the gravity flow channel. The gravity flow channel control system is connected with the through hole and is used for guiding fluid to flow in the chip; the micro-fluidic chip can effectively package living cells and is compatible with a forward Raman microscope, so that in-situ unlabeled Raman imaging of single cells under the microscope is realized, experimental operation is simplified, more efficient cell treatment and real-time monitoring capabilities are provided, imaging stability and accuracy are improved, and the micro-fluidic chip is suitable for large-scale popularization and application. The method is of great significance to application of drug screening, biochemical research and the like.

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 relates to a gallium nitride device gallium-rich defect detection method based on second harmonic enhancement, which belongs to the technical field of semiconductor detection, and comprises the following steps: detecting the second harmonic intensity of a gallium-rich area and a non-gallium-rich area on the surface of single crystal gallium nitride in a second harmonic mode of a confocal Raman imaging microscope; only the gallium-enriched area generates a second harmonic enhancement phenomenon, and the second harmonic enhancement phenomenon is used as a detection basis of the gallium-enriched area; the gallium nitride device comprises a silicon substrate and a gallium nitride thin film epitaxially growing on the silicon substrate, the silicon substrate is etched to expose a part of the gallium nitride thin film, second harmonic intensity scanning is carried out on the whole area of the exposed gallium nitride thin film, and if a second harmonic enhancement phenomenon occurs at a certain position, it is judged that the position has a gallium enrichment area, namely a defect area. According to the method, the gallium enrichment defect can be identified only by performing secondary harmonic intensity scanning on the gallium nitride surface in a secondary harmonic mode of the confocal Raman imaging microscope, the practicability is high, and the operation is simple and convenient.

The invention discloses an intestinal tract tissue auxiliary analysis system and method based on multi-modal data combination. The multi-modal intestinal tract tissue detection system comprises a multi-modal imaging system and an intestinal tract lesion evaluation system. The multi-mode imaging system organically combines an OCE imaging system, an OCT imaging system, a white light imaging system and a Raman imaging system. Wherein the OCE imaging reflects the elastic characteristic of the intestinal focus tissue, the OCT imaging reflects the deep structure characteristic of the intestinal focus tissue, the white light imaging reflects the mucous membrane surface performance of the intestinal tissue, and the Raman imaging reflects the molecular mechanism characteristic of the intestinal focus tissue. Different characteristics reflected by the four modes are utilized, an OCE feature vector, an OCT feature vector, a white light feature vector and a Raman spectrum feature vector are extracted through an intestinal tract lesion evaluation system, a multi-mode feature fusion classification module is adopted for processing, and therefore deep fusion and classification decision making of multi-mode information are achieved.

The invention discloses a tumor detection system based on a minimally invasive probe and a Raman imaging technology, and belongs to the technical field of tumor detection. The tumor detection system mainly comprises a transmission device, a minimally invasive probe device, a Raman imaging device and an imaging device, the tumor detection system based on the minimally invasive probe and the Raman imaging technology is designed based on the probe detection technology and the Raman imaging technology, and a feasible solution is provided for tumor detection. Sampling and detection are integrated, certain automation is achieved in the tumor detection process, the operation difficulty and the detection difficulty are reduced, and automatic tumor detection integrating sampling, analysis and detection is achieved.

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 relates to a Raman denoising method. The method comprises the following steps: encoding an initial feature map of a Raman spectrum or a Raman image to obtain an encoded feature map; wherein the coding processing comprises the steps of performing feature extraction processing on the initial feature map to obtain a coding separation feature map, and performing feature fusion processing on the coding separation feature map to obtain a coding feature map; carrying out dimension integration and feature integration processing on the coding feature map to obtain an undertaking feature map; decoding the undertaking feature map to obtain a decoded feature map after noise of the corresponding Raman spectrum or Raman image is filtered; wherein the decoding processing comprises the steps of carrying out expansion processing on the coding feature map to obtain a sampling feature map, splicing the sampling feature map and the coding separation feature map to obtain a decoding splicing feature map, and carrying out feature extraction processing on the decoding splicing feature map to obtain a decoding feature map. According to the invention, the Raman spectrum or the Raman image can be denoised in consideration of the spatial dimension and the spectral dimension, and the denoising effect is strong.

The invention provides a high-throughput wide-area Raman spectrum system for bacterial colony detection and an implementation method. The high-throughput wide-area Raman spectrum system comprises a laser and light spot adjusting module, a Raman imaging module and a detection module, the spatial heterogeneity problem of a bacterial colony sample is solved by setting a light spot adjustment scheme, a bacterial colony detection scheme and a high-throughput wide-area Raman scheme, so that the spectral repeatability of the bacterial colony sample is better, and establishment of a spectral database and identification of the bacterial colony sample are facilitated; the system is different from a common wide-area Raman system, has high throughput and high resolution, is more suitable for analysis and identification of biological samples, meets the resolution requirements of analysis and identification of various biological samples, and is scientific and reasonable in overall structural design, safe and reliable in implementation process and suitable for popularization and application.

This invention provides a high signal duty cycle dual-optical frequency comb coherent anti-Stokes Raman imaging system, belonging to the field of coherent anti-Stokes Raman imaging technology. It solves the problems of low signal duty cycle and low measurement speed of traditional dual-optical frequency comb output pulses. The system includes a tunable repetition rate difference dual-optical frequency comb pulse generation module, an optical focusing and sample scanning module, and a data acquisition module. The tunable repetition rate difference dual-optical frequency comb pulse generation module generates two dual-optical frequency comb pulse beams, one with an adjustable repetition frequency and the other with a fixed repetition frequency. The pulse beam with the adjustable repetition frequency serves as the pump light, while the pulse beam with the fixed repetition frequency utilizes the nonlinear effect of highly nonlinear optical fibers to achieve spectral broadening and spectral frequency shift, obtaining Stokes light. This invention is applied to anti-Stokes Raman imaging.

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.

The invention relates to the technical field of medical imaging, in particular to a short-wave infrared Raman and fluorescence imaging device for an animal living body and an implementation method of the short-wave infrared Raman and fluorescence imaging device. Comprising an imaging cavity, a short-wave infrared excitation module, a Raman imaging and fluorescence imaging module, a sample carrying table and an anesthesia unit, the sample carrying table is arranged in the imaging cavity, the short-wave infrared excitation module is arranged on the side wall of the Raman imaging and fluorescence imaging module of the imaging cavity, and the Raman imaging and fluorescence imaging module is arranged at the inner top of the imaging cavity; the anesthesia unit is arranged on one side of the imaging cavity and communicated with the imaging cavity through a pipeline. According to the device, the imaging sensitivity and resolution can be effectively improved, the problems of signal interference, inaccurate imaging registration and multi-mode integration in the prior art are solved, and efficient and accurate imaging of small living animals in different imaging modes is realized. The method is mainly applied to short-wave infrared Raman and fluorescence imaging of living animals.

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 present invention provides a chlorinated polyvinyl chloride resin that enables the production of a molded article that maintains high adhesion strength even when used in a form subjected to high pressure and is less susceptible to defects such as cracks due to insufficient strength, 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 0.1 or more and 3.5 or less in Raman imaging measurement by Raman spectroscopy.

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.