363 results about "Fluorescence spectra" patented technology

The invention provides an online quality detection method of a nerve-soothing and brain-nourishing liquid based on multispectral fusion, and aims at solving the bottleneck problems of long offline time consumption, weak multi-index detection capability, poor dynamic adaptability and the like in the traditional detection technology, and realizing intelligent quality control of the whole process of the production technology. The device integrates an ultraviolet-visible spectrum module, a near-infrared spectrum module and a fluorescence spectrum module, constructs a multi-scale residual convolutional network to extract near-infrared spectrum characteristics, analyzes a fluorescence excitation-emission matrix through bidirectional LSTM, and cooperates with dynamic baseline correction of an ultraviolet spectrum, so that the icariin content detection precision is improved by 40% compared with that of a traditional HPLC method, the heavy metal residue detection lower limit reaches 0.05 ppm, and the detection accuracy is greatly improved. And an innovative solution is provided for intelligent production of traditional Chinese medicine preparations.

The invention relates to the technical field of optical signal processing, in particular to an optical signal processing algorithm based on biological agent fluorescence detection, which comprises the following steps: S1, collecting fluorescence signals with different wavelengths emitted by each probe, and generating a multi-channel fluorescence spectrum data set; s2, carrying out spectral de-mixing on the fluorescence signals in the fluorescence spectrum data set, separating a plurality of overlapped fluorescence signals, and decoupling the fluorescence signals with different wavelengths; s3, for highly overlapped fluorescence signals, carrying out secondary overlapping separation treatment on the fluorescence signals by using a nonlinear optimization method; s4, extracting the intensity, wavelength and time change characteristics of each fluorescent probe signal, and constructing a multi-dimensional fluorescent signal characteristic vector; and S5, by amplifying the characteristic peak value of the weak fluorescence signal, it is ensured that the signal is not covered by strong signals of other probes in multi-probe detection. According to the invention, the resolution of fluorescence detection is improved, so that the high-precision detection effect can be maintained under complex experimental conditions.

The invention relates to the technical field of computer vision, and discloses a litchi fruit quality detection method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the variety of a to-be-detected litchi, and determining a specified excitation wavelength corresponding to the variety of the to-be-detected litchi; setting the excitation wavelength of fluorescence spectrum analysis equipment as the specified excitation wavelength; fluorescence spectrum data and multispectral image data of a plurality of different surface areas of the to-be-detected litchis are obtained respectively, the fluorescence spectrum data and the multispectral image data corresponding to the same surface areas are associated, and the sum of the different surface areas covers the whole surface of the to-be-detected litchis; inputting each group of associated fluorescence spectrum data and multispectral image data of the to-be-detected litchis into a pre-trained fruit quality prediction model, and outputting a quality degradation prediction result of the to-be-detected litchis; and rapid, accurate and lossless prediction of the quality condition of the litchi fruits is realized.

The invention belongs to the technical field of environmental monitoring, and particularly relates to a super-resolution fluorescence imaging analysis method based on hypersensitive fluorescent quantum dots. The quantum dots have high water solubility and stability, and can emit narrow-bandwidth fluorescence due to unique optical properties of the quantum dots. According to the invention, a quantum dot luminescent material is adopted to construct an ultra-high resolution microscope system which can be used for observing composite behaviors between micropollutants and quantum dots on a microscopic scale, and a three-dimensional fluorescence microspectrometer and a computer vision algorithm are integrated; the whole reaction process is deduced according to the evolution of the three-dimensional fluorescence spectrum between the micro-pollutants and the quantum dots in different space (concentration), time (reaction process) and chemical dimensions, and a multi-dimensional fingerprint spectrum is formed according to the whole reaction process and is used for identifying and tracing the micro-pollutants. The method has the advantages of being high in detection speed, high in fingerprint performance and less in interference of background factors.

The invention discloses a water sample pollution traceability analysis method fusing absorption-three-dimensional fluorescence spectrum characteristics, and relates to the field of water sample spectrum analysis traceability. According to the method, high-precision prediction of pollutant indexes is realized by utilizing multi-dimensional information of a three-dimensional fluorescence spectrum and an absorption spectrum of a water sample, qualitative and quantitative traceability of main pollution components and potential emission sources in a water body is carried out based on correlation analysis of the prediction indexes, a pollutant feature library and an emission source database, and the method has the advantages of high accuracy and high accuracy. The integration of water quality monitoring and pollution source management is realized, and a systematic and real-time technical means is provided for pollution analysis of a complex water body.

The invention relates to the technical field of atomic frequency standards, in particular to a miniaturized atomic beam clock physical system and a clock generation method. The atomic beam clock physical system comprises an alkali metal atom emission cavity, an alkali metal raw material block, a microcapillary array, a drift cavity, a multi-layer silicon substrate, a laser, an optical fiber type phase modulator, a beam splitter prism, a plurality of reflectors and a signal detector. Compared with a traditional coherent population detection mode based on a bubble chamber, the chip-scale atomic clock has narrower fluorescence spectrum width and higher long-term frequency stability, meanwhile has the chip-scale capability, and has higher competitiveness compared with an existing chip-scale atomic clock based on an air chamber structure.

The invention discloses a three-dimensional fluorescence dynamic monitoring and automatic processing system for water quality. The system comprises a water sample collection module, a three-dimensional fluorescence spectrum detection module, a pollution fingerprint database, a spectral analysis unit, a diffusion path simulation module based on a distributed sensor network and an automatic control execution module. The diffusion path simulation module is used for acquiring spatio-temporal data through a water quality spectrum sensor, a hydrological sensor and a meteorological sensor, and dynamically predicting a pollutant migration track by combining a water body flow field model constructed by a finite volume method and a first-order dynamic fluorescence attenuation model; the automatic control execution module is based on the pollution recognition result and track prediction, emergency operations such as gate opening and closing and medicament adding are linked through a fuzzy logic algorithm, and full-process automation from monitoring to disposal is achieved. The system completes pollution identification within 10 minutes through a spectral angle mapping algorithm, and the defects that a traditional method lags in response and lacks dynamic prediction and automatic disposal are overcome.

The application discloses a multi-marked endoscopic imaging lens for digestive tract, and belongs to the field of biomedical microscopic endoscopic imaging. The endoscopic imaging lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens; the first lens focuses laser; the second lens is matched with the first lens to limit a light beam in an effective light aperture of the lens; the third lens corrects chromatic aberration; the fourth lens and the fifth lens are combined to correct aberration; the sixth lens adopts an aspheric lens to correct spherical aberration caused in a collimating and focusing system; and the seventh lens is matched with the sixth lens to correct chromatic aberration. The working spectral range of the microscopic objective lens group is 488-860 nm, the effective light aperture is less than 1.8 mm, the mechanical outer diameter is not greater than 2.6 mm, the numerical aperture at the object side or the tissue is 0.55, the imaging field of view is 450 microns, the magnification is 2.14 times, and the working distance is 84 microns. The effect of matching excitation and fluorescence spectrum of a clinically available fluorescence contrast agent is realized.

An information processing device according to an aspect of the present disclosure includes an acquisition unit that acquires a fluorescence spectrum derived from a biological sample and position information of the biological sample from a sample including the biological sample, an identification unit (133b) that identifies, from the fluorescence spectrum, information regarding a plurality of different biomarkers of the biological sample associated with the position information of the biological sample, and a correlation analysis unit (133d) that performs matrix decomposition processing corresponding to a combination of the plurality of biomarkers on the information regarding the plurality of biomarkers and outputs a correlation of the information regarding the plurality of biomarkers.

The present discloses systems and methods for tissue analysis, biopsy, and treatment utilizing at least exogenous fluorophores and near infrared light. A method is disclosed for optically determining the presence of abnormal cells, such as cancer, in tissue. The method includes applying one or more exogenous fluorophores into tissue in an animal body, wherein the exogenous fluorophores include a targeting moiety formulated to bond with a selected site on abnormal cells. The method includes illuminating the one or more exogenous fluorophores in the tissue with near infrared light from an elongated optical probe to generate fluorescent light from exogenous fluorophores present in the tissue. The method includes receiving fluorescent light generated from the one or more exogenous fluorophores in the tissue. The method includes determining if abnormal cells are present in the tissue based on the fluorescent light generated from the one or more exogenous fluorophores in the tissue.

The invention discloses a pollution source tracing method based on a three-dimensional fluorescence spectrum, and relates to the technical field of water quality monitoring, a water sample of an upstream specific pollution discharge unit is collected as a pollution source, a mixed water sample formed by mixing different pollution source water samples according to different volumes or proportions is prepared, and a pollution source database adapted to parallel factor analysis is established; according to the pollution source tracing method, a good linear model between a pollution source and a three-dimensional fluorescence spectrum characteristic value is established, a shortest path algorithm is proposed to quantitatively solve the volume or proportion of the pollution source in a monitored water sample, and the pollution source is traced to a specific pollution discharge unit. According to the invention, the sewage three-dimensional fluorescence spectrum database established by mixing upstream pollution source drainage improves the application range of parallel factor analysis, so that the three-dimensional fluorescence spectrums of sewage of different industrial systems can be subjected to effective parallel factor analysis together; compared with a parallel factor analysis-Tucker congruence coefficient method, the method has the advantage that the pollution source can be traced to a more specific level.

The invention belongs to the technical field of data processing, and particularly relates to a multi-dimensional holographic data analysis method and system for hazardous waste supervision, and the method comprises the steps: obtaining fluorescence spectrum data and mass spectrum data; preprocessing the acquired data, and carrying out peak detection by utilizing a first-order derivative of peak intensity based on a preprocessed fluorescence intensity matrix; determining the weight of each peak point in combination with the fluorescence spectrum of the standard sample to complete the matching of peak pairs, and calculating the peak matching distance and the distribution difference of the feature vectors; calculating a similarity score of the spectrum by integrating the peak matching distance and the distribution difference of the feature vectors and combining a matching ratio and a weight ratio; calculating weighted cosine similarity and Euclidean distance between the processed mass spectrum data and the mass spectrum data of the standard sample, and completing calculation of the similarity score of the mass spectrum between the samples; and tracing the source of the hazardous wastes according to the similarity score of the spectrum and the similarity score of the mass spectrum. And accurate traceability is realized through qualitative and quantitative analysis.

The invention relates to the technical field of component analysis, and discloses an X-ray fluorescence spectrum-based rock and ore silicate component analysis method, which comprises the following steps: S1, sample collection and pretreatment: collecting, crushing and drying an initial sample, S2, sample tabletting preparation, S3, standard sample preparation, S4, X-ray fluorescence spectrum analysis, and S5, data processing and result analysis. According to the method, a complex interference characteristic mode between elements can be automatically captured through an established deep learning model and learning of a large number of known components and fluorescence spectrum data, and in an example of correcting interference between multiple elements in rocks and mines, the model can utilize a network structure of the model and comprises an established convolutional layer, a pooling layer and a full-connection layer. Effective information is extracted from multiple groups of sample data, the interference relation between elements is accurately learned, and compared with a traditional method, the precision of analyzing the content of silicate components in rock ore is remarkably improved, so that a measurement result is closer to a real value.

The invention discloses a method for detecting and visualizing the density of crude oil in a rock slice based on a laser scanning confocal microscope (CLSM) fluorescence spectrum, and relates to the field of crude oil density detection. The method comprises the following steps: collecting crude oil spectral data by using CLSM, and carrying out baseline correction, data smoothing and standardization processing; spectral features highly related to the density of the crude oil are screened out through the Pearson's correlation coefficient; a density prediction model is established based on an SVM-R model, and parameters are optimized to improve prediction precision. The density prediction and result visualization of the spectral data are realized by utilizing self-developed interactive software. According to the method, the detection precision R2 of a complex sample is remarkably improved to 0.9558, and the method has real-time analysis and dynamic visualization functions and is suitable for crude oil density evaluation and thermal drive optimization scenes in oilfield development.

The invention relates to the technical field of material sorting, in particular to material sorting equipment and a material sorting method. The material sorting equipment comprises a conveying device used for conveying materials; the camera is located above the conveying device and used for collecting color sorting images of the materials; the ray device is arranged on the downstream of the conveying device and used for emitting rays to the materials falling from the tail end of the conveying device; the scintillator detector is arranged on the opposite side of the ray device and is used for determining a grayscale image of the material; the silicon drift detector is arranged below the ray device and is used for determining a fluorescence spectrum image of the material; and the sorting device is positioned below the silicon drift detector and is used for sorting the materials. The sorting accuracy and the sorting precision of the material sorting equipment can be effectively improved through the material sorting equipment. The time in the recognition and sorting process of the material sorting equipment can be effectively shortened, the sorting efficiency of the material sorting equipment is improved, and accurate judgment and efficient sorting are achieved.

The invention discloses a phenoxazine derivative as well as a preparation method and application thereof, and belongs to the field of biological medicine synthesis. A series of phenoxazine derivatives are synthesized by using a simple, efficient and low-toxicity method, circular dichroism, fluorescence spectrum and ultraviolet absorption spectrum prove that the molecules not only have non-covalent interaction with DNA, but also can be subjected to transamidation reaction with the DNA to covalently modify the DNA, and meanwhile, the phenoxazine derivatives are relatively good in anti-tumor cell activity and relatively good in anti-tumor effect. And a new strategy is provided for the research of DNA targeted drugs.

The invention discloses a double-recognition fluorescent molecular probe, a preparation method thereof and application of the double-recognition fluorescent molecular probe in detection of lead ions and / or glyphosate, and relates to the technical field of detection of lead ions and pesticide glyphosate. The double-recognition fluorescent molecular probe disclosed by the invention is a Schiff base type probe which takes dicyanoisophorone and benzoyl hydrazine as fluorophores. The invention also relates to application of the double-recognition fluorescent molecular probe in lead ion sensing detection. The complex of the double-recognition fluorescent molecular probe and lead ions can be used for sensing detection of glyphosate. The double-recognition fluorescent molecular probe provided by the invention has the advantages of easily available raw materials and simple operation. According to the present invention, the quantitative detection of the lead ions / or the glyphosate by the probe through the different functions displayed by the ultraviolet and fluorescence spectra is achieved, the reversibility is strong, the multi-time cyclic utilization can be achieved, the selectivity is good, the influence by other metal ions is not easily generated, the detection limit is low, and the excellent application imaging is provided in animal bodies such as cells, zebra fish and the like.

The invention relates to the technical field of measuring or analyzing materials by utilizing an optical means, in particular to a spectrum detection method and a spectrum detection system for pesticide residue concentration in a plant. The fluorescence spectrum data comprises a fluorescence spectrum curve at an initial moment and fluorescence spectrum curves at different delay moments after the initial moment; and determining the corrected characteristic indexes of each influence fluorescence peak in the pesticide fluorescence peaks in the fluorescence spectrum curve at the initial moment and the characteristic indexes of other pesticide fluorescence peaks without overlapping peaks, and carrying out pesticide residue concentration measurement on the basis of the characteristic indexes. According to the invention, the measurement accuracy of the pesticide residue concentration in the plant is effectively improved.

The invention relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

The invention relates to the technical field of carbon-nitrogen ratio detection, in particular to a sweet potato carbon-nitrogen ratio detection method and system based on a multispectrum and fluorescence sensor, and the method specifically comprises the following steps: constructing a weight coefficient based on the correlation between the leaf carbon-nitrogen ratio in each growth stage and the reflectivity of each wavelength, and combining the multispectrum and fluorescence spectrum of each leaf to obtain a weight coefficient; acquiring a coupling characteristic value; correcting the coupling characteristic value according to the soil conductivity; analyzing the multi-spectral characteristics and the fluorescence spectrum characteristics of the sweet potatoes, and constructing a multi-spectral index and a fluorescence spectrum index; predicting the carbon-nitrogen ratio of the to-be-detected sweet potato leaf based on the features of the leaf, and calculating the carbon-nitrogen ratio of the to-be-detected sweet potato leaf by combining the difference between the feature vectors of the to-be-detected sweet potato leaf and the leaves in all growth stages and introducing the carbon-nitrogen ratio of the previous growth stage; certain continuity and inertia of the change of the carbon-nitrogen ratio are considered, so that the method adapts to the change of the sweet potatoes in different growth stages, and the detection precision of the carbon-nitrogen ratio is improved.

The invention belongs to the technical field of battery health state monitoring, and relates to an unmanned aerial vehicle battery health state on-line prediction method comprising the following steps: exciting a quantum dot tracer agent in a battery monitoring area to obtain an initial fluorescence spectrum, and carrying out real-time comparison to identify fluorescence quenching caused by gas production and generate a preliminary aging signal; further analyzing the spectrum drift characteristics so as to analyze lithium aging and pure gas production; triggering ultrasonic detection based on a diagnosis result, and extracting time-frequency characteristics of acoustic echoes to construct quantitative acoustic fingerprints; and finally, through cross validation of optical and acoustic information, generating a comprehensive health status report containing a risk level and an aging type. According to the method, multi-dimensional on-line diagnosis and early warning on the early aging stage of the battery are realized, and the problems of hysteresis quality, difficulty in positioning and inaccurate risk assessment caused by dependence on macroscopic electrical parameters in a traditional method are solved.

The invention provides a precious metal analyzer accurate spot measurement method and system based on a micro-area x fluorescence spectrum, and the method comprises the steps: applying an X-ray light beam to a preset to-be-measured point, adjusting the focusing position of the X-ray light beam through a micro-light beam focusing technology, and generating a micro-area light spot which is aligned with the spot measurement position of the preset to-be-measured point in real time; collecting an X fluorescence signal generated by excitation of the micro-area light spot; performing dynamic noise suppression processing on the X fluorescence signal by using a preset adaptive digital filter to generate a denoised X fluorescence signal; inputting the de-noised X fluorescence signal into a preset spectrum peak value automatic identification algorithm to obtain characteristic peak value data; and matching the characteristic peak value data with a preset precious metal element type database to generate an element spot measurement result. According to the method, the composite problems of displacement drift, signal distortion and element misjudgment in microcell point measurement are solved, and the precision and efficiency of precious metal analysis are remarkably improved.

The invention provides an automatic sorting and rechecking method and system for a whole pack of instant lottery tickets based on super-resolution vision, and relates to the technical field of machine vision. Details of motion blur loss are recovered through dynamic inter-frame alignment and multi-scale feature fusion, and a high-resolution image is generated. Static visual features are extracted, lottery ticket scrape-open layer film fluorescence spectrum response features of the first page of the lottery ticket bag are obtained, film material distribution characteristics are obtained through spectrum decomposition and fused into multi-modal features, the multi-modal features are matched with a standard library, and a preliminary sorting result is obtained. In the sorting process, the grabbing time sequence consistency of the mechanical arm is monitored, re-checking is started and abnormal time period characteristics are backtracked if the result reaches the threshold critical value or the time sequence is abnormal, and a re-checking report is formed if a plurality of judgment results are not consistent, so that the accuracy and reliability of automatic sorting of the whole lottery ticket can be guaranteed.

The invention discloses a full-automatic high-flux space-time resolution fluorescence spectrum imaging system and method, and relates to the field of fluorescence signal spectrum. Comprising a working table, a sample table, an objective lens, a mechanical arm sample injection module used for grabbing the sample table loaded with a sample in advance and placing the sample table on the working table, and a picosecond pulse laser output module used for outputting a laser beam to the objective lens, the fluorescence signal detection module and the control module are used for simultaneously collecting spectral data and dynamic data of a fluorescence signal generated after the sample is focused by the laser beam; the sample table and the objective lens are sequentially arranged on the workbench at intervals in the vertical direction from top to bottom; the mechanical arm sampling module, the picosecond pulse laser output module and the fluorescence signal detection module are respectively in communication connection with the control module. According to the invention, simultaneous acquisition of spectrum data and dynamic data of fluorescence signals can be fully automatically realized.

The invention discloses a fluorescence spectrum analysis method for reducing an algae misrecognition rate based on spectrum similarity, belongs to the technical field of marine water ecological environment monitoring, and can effectively reduce the algae spectrum misrecognition rate. Compared with a standard method, the classification measurement result of 95 pure algae samples by the algorithm provided by the invention has four difference value points outside a 95% consistency limit, and the proportion is less than 5%. Compared with the national standard method, the classified measurement results of 49 algae samples in the mixed sample have three difference points outside the 95% consistency limit, and the proportion is also less than 5%. Considering the randomness of the measurement error, the result shows that the measurement result of the algorithm and the measurement result of the national standard method have good consistency.

The utility model relates to a water quality detection system, which comprises: a first light source, which is used for irradiating a water sample to be detected in a water body sample pool with light with a wavelength range covering ultraviolet and visible light regions; the second light source is used for exciting the to-be-detected water sample to generate emitted light; the spectrum detector is used for receiving a fluorescence spectrum of the emitted light and receiving an ultraviolet visible spectrum of the transmitted light related to the first light source; the data processing equipment is used for controlling the first light source and the second light source to emit light at different time slices and calculating the water quality index of the water sample to be detected based on the fluorescence spectrum and the ultraviolet visible spectrum. Therefore, different light sources can be used for irradiating a water sample to be detected at different time slices through the water quality detection system, the collected spectrums are free from interference, and meanwhile, each spectrum can focus on different states of material components, so that the components of pollutants in water are detected as much as possible, and the detection accuracy of the water quality detection system is improved. And the precision of subsequent water quality index analysis is improved.

The invention discloses a gene detection data analysis method and system based on a fluorescence spectrum, and relates to the technical field of fluorescence spectrum analysis. The analysis method comprises the following steps: acquiring a sample; generating a multi-channel fluorescence spectrum analysis strategy by using a fluorescence multi-channel matching analysis model and a genetic algorithm; extracting a multi-channel fluorescence spectrum based on the generated strategy; processing the spectrum by using a fluorescence spectrum gene analysis model to obtain a gene detection result; and carrying out subsequent gene detection analysis according to an analysis result. Through an innovative multi-channel matching analysis model, an improved genetic algorithm and a high-efficiency feature extraction and analysis module, high-precision and high-efficiency gene detection is realized, high-precision fluorescence signal de-noising and feature extraction are realized based on a de-noising layer of expansion convolution and a multi-layer feature extraction structure, and the detection accuracy is improved. And an accurate gene detection analysis result is generated.

A water quality analysis system is calibrated without using any organic fluorescence material such as phenanthrene. The water quality analysis system analyzes a component to be measured contained in a liquid sample by a fluorescence spectroscopy, and that comprises a light irradiation section that irradiates the liquid sample with a light having an excitation wavelength of the component to be measured, a light detection section that detects a fluorescence of the component to be measured emitted from the liquid sample, a calculation unit that calculates a concentration of the component to be measured by using a fluorescence intensity obtained by the light detection section, and a solid fluorescence reference member that is arranged on an optical path between the light irradiation section and the light detection section and that emits the fluorescence by the light from the light irradiation section at a time of calibration.

The invention relates to the technical field of optical microscopic imaging, and discloses a fluorescence imaging system and method. The system comprises a multi-color light source module used for emitting exciting light with different wavelengths, and the exciting light with different wavelengths is used for marking different components in a sample to be detected; the apochromatic illumination module is connected with the multi-color light source module and used for carrying out light beam processing on the exciting light based on a preset illumination mode to generate a target illumination light beam; the multi-channel imaging module is connected with the apochromatic illumination module and is used for collecting fluorescence signals emitted after the target illumination light beam irradiates the to-be-detected sample and separating the fluorescence signals according to the fluorescence spectrum of each component to obtain a plurality of imaging channels; and the image processing module is connected with the multi-channel imaging module and is used for receiving the imaging data from the plurality of imaging channels and fusing the imaging data to obtain a target fluorescence image. By implementing the technical scheme provided by the invention, efficient synchronous imaging of different components in a multicolor fluorescence labeled sample is realized.

The invention relates to the field of high-pressure pressure distribution calibration and imaging, in particular to a high-pressure diamond anvil cell internal pressure calibration / imaging system and method based on wide-field optical detection magnetic resonance. The invention discloses a high-pressure diamond anvil cell internal pressure calibration / imaging system based on wide-field optical detection magnetic resonance. The system comprises a fluorescence excitation and collection unit which comprises a wide-field optical detection magnetic resonance pressure distribution imaging light path based on nano-diamond NV color center fluorescence and a pressure calibration light path based on a ruby microsphere fluorescence spectrum. Compared with the prior art, the technical effects of the invention are that a traditional single-point detection mode is broken through through a wide-field microscopic imaging method, submicron spatial resolution and 0.0045 GPa / Hz1 / 2 noise measurement sensitivity are realized, and a brand new stress field characterization means is provided for a high-pressure experiment.