1727 results about "Fluorescence intensity" patented technology

The invention discloses long-chain alkyl polyarylamine as well as a preparation method and application thereof. The structural formula of the long-chain alkyl polyarylamine is as shown in a formula (I): # imgabs0 # formula (I), wherein R is an alkyl group with the carbon atom number of 5-12, the weight-average molecular weight of the R is 5000-136000 g / mol, and the PDI of the R is 1.41-2.24; the long-chain alkyl polyarylamine provided by the invention has relatively high fluorescence intensity, can stably emit fluorescence at high temperature and under long-term illumination, and has relatively long fluorescence lifetime.

The invention relates to the technical field of medical image processing and tumor treatment, and provides a tumor image boundary identification method and system fused with a fluorescence boundary, and the method comprises the steps: collecting a tumor dynamic fluorescence image sequence and breathing waveform data through a fluorescence imaging device; performing multi-scale noise suppression processing on the image sequence to generate a preprocessed image without artifacts; extracting fluorescence intensity distribution characteristics through a multi-layer characteristic weighted fusion network and generating an intensity distribution matrix; constructing a motion compensation model according to the breathing waveform data, and correcting the boundary displacement of the intensity distribution matrix; fusing the corrected fluorescence features and the tumor tissue texture features to generate an initial tumor boundary contour; iterative topological optimization is carried out on the initial boundary, and boundary discontinuity is eliminated; and mapping the optimized boundary to a space coordinate system of the laser treatment equipment, generating a boundary mapping model and updating the boundary mapping model in real time. The precision and safety of laser treatment can be improved, and damage to normal tissue is reduced.

The invention provides a lake water chemical oxygen demand internal and external source pollution quantitative tracing method and system, and relates to the technical field of pollution quantitative tracing. The method comprises the following steps: performing three-dimensional fluorescence spectrum analysis on water samples at different point positions of a lake to obtain fluorescence excitation / emission matrix spectrum EEMS data; performing parallel factor analysis on the EEMS data, identifying and classifying the fluorescent components of the dissolved organic matter DOM, and determining the type characteristics of each component; based on the maximum fluorescence intensity and the corresponding COD value of the fluorescence component, establishing a standardized multiple linear regression equation by adopting ridge regression analysis, and calculating the contribution percentage of each fluorescence component to the COD of the lake water body; analyzing influence paths of potential variables on DOM migration and transformation, and quantifying direct contributions and indirect contributions of different pollution sources to each fluorescent component through path coefficients; and calculating the total contribution of lake-entering rivers, bottom mud release and phytoplankton to the COD of the lake water body.

The invention relates to the technical field of environment assessment, in particular to a coastal zone culture area multi-dimensional environment assessment method and a cloud platform. The method comprises the following steps: continuously recording dissolved oxygen concentration, pH value, centigrade temperature, salinity unit, turbidity scattering unit, chlorophyll fluorescence intensity, ammonia nitrogen milligram per liter and nitrite milligram per liter, synchronously calling multi-source remote sensing images covering a culture area and an adjacent water area, extracting remote sensing reflectivity data through image correction and atmospheric correction, and calculating to obtain water color parameters. According to the method, the water quality sensor array is deployed at the key point of the culture area, continuous multi-parameter environmental data acquisition is carried out, multi-source remote sensing images are synchronously integrated, water color information is extracted in real time, and the timeliness and data accuracy of culture water area environmental monitoring are improved; trend decomposition and dynamic baseline construction are carried out based on the data sequence, so that the environmental fluctuation evaluation of the breeding area is more objective and accurate.

The invention discloses a peanut oil impurity detection method based on image recognition analysis, and relates to the technical field of computer vision, and the peanut oil impurity detection method comprises the following steps: carrying out impurity targeted marking on an oil sample; adopting dual-wavelength laser to excite the oil sample subjected to impurity target marking, synchronously acquiring a fluorescence image, and marking the coordinates of a suspicious composite impurity region by utilizing an FRET fluorescence intensity ratio; metal impurities and fiber impurities are distinguished according to the plasma formant position, and nanoscale impurity morphology data are formed; detecting unmarked transparent nanoparticles, triggering surface acoustic wave assisted detection, and outputting impurity motion feature codes; inputting the FRET fluorescence intensity ratio, the nanoscale impurity morphology data and the impurity motion trail features into a graph neural network classifier based on an attention mechanism, and performing joint interpretation on impurity types; and sorting and filling the oil sample according to an impurity classification result. The comprehensive performance of impurity detection is remarkably improved through a multi-mode sensing cooperation mechanism.

The invention relates to a super-resolution fluorescence lifetime microscopic imaging method and system based on pixel relocation. The method comprises the following steps: S1, carrying out multi-focus parallel scanning on a sample by using an acousto-optic deflector; s2, synchronously collecting a fluorescence intensity image and fluorescence lifetime data through an area array detector and a point detector; and S3, carrying out super-resolution reconstruction on the fluorescence intensity image based on a pixel relocation algorithm, and mapping fluorescence lifetime data to a reconstructed image to generate a super-resolution fluorescence lifetime microscopic image. According to the invention, an AOD is adopted to replace a scanning galvanometer in a traditional TCSPC-FLIM imaging system as a light beam scanner; addressing scanning of AOD, image acquisition of EMCCD and life data acquisition of PMT and TCSPC cards are closely linked by combining well-designed multiple paths of synchronizing signals, and fluorescence life data are distributed to each dot matrix through a later data processing method, so that organic combination of super-resolution and FLIM can be realized without complicated equipment, and SR-FLIM images of samples are obtained.

The present invention discloses a three-dimensional fluorescence portable water quality analyzer for pollution component determination and source tracing, and relates to the technical field of water quality analysis, the analyzer comprises the following components: a sample collection and processing module for collecting a water sample from a to-be-detected water body, filtering to remove impurities, and diluting the water sample according to a self-adaptive dilution multiple algorithm; fluorescence intensity information of a water sample under different excitation wavelengths and emission wavelengths is obtained through the three-dimensional fluorescence detection module, rich three-dimensional fluorescence spectrum data is formed, the real-time fluorescence lifetime imaging module is introduced, and by measuring the fluorescence lifetime of a fluorescent substance and utilizing the principle that different fluorescent substances have different fluorescence lifetime characteristics, the real-time fluorescence lifetime of the water sample is obtained. Various pollution components in the water sample are further distinguished and recognized, the pollution components can be accurately distinguished through fluorescence lifetime measurement and imaging, the accuracy of pollution component judgment is greatly improved, and a reliable basis is provided for accurate treatment of water quality pollution.

The invention relates to the technical field of biogenic amine detection, in particular to a dicyanoethylene-based fluorescent material as well as a preparation method and application thereof. After the biogenic amine is in contact with the glass surface fluorescent probe, due to the nucleophilic characteristic of the biogenic amine, the biogenic amine can be subjected to nucleophilic substitution reaction with a probe molecule dicyanovinyl group to generate an imine chemical structure. As the electron-withdrawing capability of dicyanoethylene is stronger than that of imine, the intramolecular charge transfer effect of probe molecules is greatly reduced, so that blue shift of absorption and luminescence properties of the probe molecules is caused, and after the fluorescent probe is loaded on the surface of glass, the fluorescence intensity of the fluorescent probe is improved. The formed dicyanoethylene-based fluorescent material provides a solution for the technical problem that the existing biogenic amine detection mode is inconvenient.

The invention provides a method for rapidly detecting wastewater pollutants by atomic fluorescence spectrometry, and belongs to the technical field of wastewater treatment.The method comprises the steps that atomic fluorescence spectrum data of a wastewater sample are collected to establish a spectrum interference matrix to characterize the spectral line overlapping condition between elements; abnormal values are recognized through statistical analysis, a spectrum outlier matrix is built, abnormal fluorescence intensity distribution is recorded, sample matrix non-characteristic fluorescence signals are measured, a background fluorescence interference matrix is built, background interference intensity is quantized, system signal change rules are continuously monitored and detected, and a signal drift tendency matrix is built to predict the signal drift tendency. A spectrum interference matrix and a background fluorescence interference matrix are processed through a spectrum analytic function, compensation factors are calculated, spectrum overlapping and background interference influences are corrected, system drift is corrected in real time, and a final wastewater pollutant concentration detection result is output, so that the technical problem of unstable detection precision caused by coupling of multiple interference factors is solved.

The invention relates to the technical field of detection kits, in particular to a preparation method of fluorescent microspheres, the fluorescent microspheres and a preparation method of a kit. According to the invention, 4-vinylbenzoic acid, dibenzoylmethane and phenanthroline are used as ligands to prepare the europium complex; the prepared europium complex, styrene and lauryl methacrylate are subjected to first-stage copolymerization polymerization to obtain a polymer core with the europium complex, itaconic acid is added for continuous polymerization in the second-stage polymerization process, and the prepared fluorescent microspheres are uniform in size, high in fluorescence intensity and high in stability. The prepared detection kit has the advantages of high detection sensitivity and stable and reliable detection effect when being used for detecting the myocardial injury marker cTnI.

The invention discloses a multi-mode nonlinear optical microscopic imaging device and system, and the device achieves the two-photon and three-photon excitation imaging of a sample through an integrated light source module, a dispersion compensation module, a scanning light path module, a fluorescence obtaining module, a synchronous control module and a signal processing module. Fluorescence intensity imaging and fluorescence lifetime imaging can be supported at the same time; wherein the scanning light path module is driven by the random mask to realize sparse scanning, so that scanning point locations are effectively reduced, and the exciting light dosage is reduced; the synchronous control module performs time window screening and processing on the fluorescence signal based on the pulse synchronous signal and the position code, so that the signal acquisition efficiency is improved; the signal processing module adopts an FPGA (Field Programmable Gate Array) to carry out real-time image reconstruction and life calculation, so that the imaging speed and quality are ensured; and the master control PC can also perform high-fidelity reconstruction on the sparse sampling image through a deep learning model, so that high-speed, low-light-dose and high-resolution nonlinear fluorescence intensity and life imaging is realized.

The invention discloses a near-infrared fluorescent probe for detecting ONOO <-> as well as a preparation method and application of the near-infrared fluorescent probe, and belongs to the technical field of peroxynitroso ion detection. The near-infrared fluorescent probe for detecting ONOO <-> provided by the invention is high in detection speed, and the highest fluorescence intensity can be reached within 60 seconds; the reaction is obvious and easy to observe, when the compound reacts with ONOO <->, strong red fluorescence can be generated, and the change of the color of the solution can be observed by naked eyes; the selectivity is strong, the sensitivity is high, the interference of other biological molecules and active substances can be effectively avoided, the accuracy and the reliability of a detection result are ensured, and the lowest detection limit can reach 107nM; the hydrogel has good biocompatibility, is low in toxicity in a living body, and does not generate adverse effects on normal physiological functions of a biological sample; the provided preparation method is simple and easy to operate, the raw materials are low in cost and easy to obtain, the synthesis efficiency is high, and the preparation method can be used for large-scale industrial production and has wide application prospects.

The invention discloses a long-chain alkyl polyarylamine composite material with fluorescence characteristics and application thereof, the long-chain alkyl polyarylamine composite material comprises long-chain alkyl polyarylamine and polyolefin in a mass ratio of 1: 19-1000, and the structural formula of the long-chain alkyl polyarylamine is as shown in the formula (I): # imgabs0 # formula (I); wherein R is an alkyl group with the carbon atom number of 5-12, the weight-average molecular weight of the R is 5000-136000 g / mol, and the PDI of the R is 1.41-2.24; the long-chain alkyl polyarylamine and the polyolefin are blended to prepare the composite material, the problem of poor mixing dispersity of a fluorescent substance and the polyolefin is solved, and the obtained composite material has high fluorescence intensity and can be potentially applied to the fields of display, light conversion films, fluorescence positioning and the like.

The invention provides a liquid leakage detection method and device for a liquid cooling device, and the method comprises the steps: obtaining the fluorescence intensity and magnetic field gradient of a surface detection region of the liquid cooling device; wherein the cooling liquid of the liquid cooling device contains a fluorescent marker and a magnetic marker; based on the fluorescence intensity and the magnetic field gradient, determining whether a liquid leakage risk exists in the detection area; in response to the liquid leakage risk of the detection area, obtaining the liquid leakage probability of each grid position of the detection area based on the fluorescence intensity and the magnetic field gradient; and determining a target grid position where liquid leakage occurs in the detection area based on the liquid leakage probability. According to the technical scheme of the invention, the detection precision and detection efficiency of liquid leakage of the liquid cooling device can be improved.

The invention discloses a fluorescent colorimetric sensor for detecting circulating tumor cells and a preparation method of the fluorescent colorimetric sensor. The preparation method comprises the following steps: S4, adding a prepared detection antibody modified with horse radish peroxidase and used for detecting the circulating tumor cells, and incubating; s5, adding a Tris buffer solution and a H2O2 solution, and incubating; s6, preparing an EuMOF nanoflower solution; and S7, adding the EuMOF nanoflower solution and 3, 3 ', 5, 5'-tetramethyl benzidine to react, detecting the fluorescence intensity in the presence of circulating tumor cells with different concentrations by using a luminoscope, detecting the ultraviolet absorbance value in the presence of circulating tumor cells with different concentrations by using a multifunctional microplate reader, and constructing a fluorescence intensity-concentration working curve and an ultraviolet absorbance value-concentration working curve. The method is used for qualitative and quantitative analysis and detection of the circulating tumor cells, realizes bimodal signal response to the circulating tumor cells, and has high sensitivity and simplicity and convenience in operation.

The invention belongs to the technical field of biological detection, and particularly relates to a multi-channel optical fiber biosensor based on fluorescence detection, optical fiber sensing units can be cascaded on the same optical fiber, and the sensing units are realized through a packaging structure adopting 3D printing resin. Quantum dot modification, functionalization processing and sensing detection on the surface of the sensing area of the optical fiber sensing unit can be completed in the packaging structure, and integration is achieved. Different antibody materials can be modified on quantum dot materials with different particle sizes so as to obtain fluorescence signals with different emission wavelengths, and qualitative and quantitative detection of various microorganisms and viruses is realized according to the variation of fluorescence intensity of a corresponding emission peak. The sensor is low in cost, short in preparation time and simple in signal acquisition and processing, the packaging structure can ensure the stability of the sensor, the sensor is convenient to carry, and the sensor can be applied to the environmental protection field such as outdoor water quality real-time monitoring.

The invention discloses an infrared photothermal imaging system and method in structured light illumination fluorescence detection, and belongs to the field of super-resolution imaging. The system comprises a structured light generation module, a fluorescence excitation module, a fluorescence collection module and a mid-infrared light thermal module. The structured light generation module generates structured light with adjustable phase and direction; the fluorescence excitation module inputs the structured light to a to-be-analyzed sample and excites the sample to emit fluorescence; meanwhile, infrared pulse laser can be input into a sample by utilizing a mid-infrared photothermal module, and the fluorescence intensity is modulated by utilizing a photothermal effect; finally, fluorescent light emitted by the sample is collected by a fluorescent light collecting module, and an infrared photothermal image in structured light illumination is obtained. The system breaks through the diffraction limit, the resolution ratio is increased by two times at most, the intrinsic infrared spectrum of the sample is obtained through mid-infrared photothermal imaging, and the chemical components and the structure of the sample are reflected. According to the invention, two technologies are combined, so that the intrinsic infrared spectrum information of the sample is provided under the sub-diffraction limit.

The invention relates to a blood flow quantitative analysis method and device based on an indocyanine green contrast video. The method comprises the steps that video data of indocyanine green fluorescence contrast are collected and preprocessed; extracting dynamic change characteristics of fluorescence intensity of the blood vessel region in the time sequence by adopting an optical flow model based on brightness change; introducing a weighted cross-correlation optical flow model, and extracting dynamic information of all blood vessel regions from each video frame; based on the optical flow vector and fluorescence intensity information of the blood vessel region, blood perfusion parameters are calculated, and a global blood perfusion pseudo-color graph is generated; and selecting a region of interest on the blood perfusion pseudo-color graph to obtain the change condition of the statistical fluorescence brightness value along with time in the region of interest, and drawing a time-brightness curve for presenting the dynamic change trend of the blood flow. Compared with the prior art, the global blood perfusion graph can be generated in real time, and the dynamic change of blood perfusion of all blood vessels can be visually displayed through the time-brightness curve.

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 belongs to the technical field of specific fluorescent probe detection, and particularly relates to a near-infrared fluorescent probe for detecting hydrazine hydrate as well as a preparation method and application of the near-infrared fluorescent probe. The structural formula of the near-infrared fluorescent probe is # imgabs0. The invention provides a preparation method for synthesizing the probe by taking xanthene dye and acetyl chloride as raw materials. By researching the fluorescence spectrum of the fluorescent probe, the selectivity of the probe on N2H4 is evaluated, the fluorescence intensity of the probe is determined to be obviously enhanced only in the presence of N2H4, and the fluorescence intensity is positively correlated with the concentration of N2H4; meanwhile, the probe has the characteristics of quick response and near-infrared emission; the fluorescent probe disclosed by the invention has relatively small cytotoxicity and can be applied to detection of HepG2 cell exogenous hydrazine hydrate.

The invention provides a full-automatic indirect immunofluorescence interpretation method and system, a storage medium and a program product, and relates to the technical field of indirect immunofluorescence detection.The method comprises the steps that when identification information of a target sample is obtained, a plurality of sealed antigen slides are placed in slide carrying groove positions of a bearing platform in batches, and the target sample is obtained; driving the bearing platform through the transmission mechanism to sequentially move the plurality of antigen slides to the imaging area, and performing positioning and fixing operation on the antigen slides entering the imaging area by using the positioning and clamping device; sequentially carrying out multi-view scanning on the antigen slides entering the imaging area to obtain multi-view fluorescence images, and splicing the fluorescence images to generate a fluorescence panoramic image; performing feature extraction on the panoramic image, determining a fluorescence karyotype category and a target fluorescence intensity value, and determining an antibody titer according to the category, the intensity value and dilution information; and performing association mapping on the titer, the category and the panoramic image according to the identification information to generate a fluorescence interpretation result.

The invention relates to a UCNPs probe-based in-situ dynamic monitoring molecular interaction method, which comprises: S1, providing a UCNPs probe, the core layer of the UCNPs probe being a rare earth up-conversion nanocrystal, the shell layer of the UCNPs probe being an anti-quenching inert material, and the anti-quenching inert material coating the surface of the rare earth up-conversion nanocrystal; the surface of the anti-quenching inert material is modified with ligand molecules, and the ligand molecules are used for being specifically combined with target molecules in a to-be-detected sample; s2, mixing or contacting the UCNPs probe with a to-be-detected sample containing target molecules to construct a to-be-analyzed molecular interaction system; s3, irradiating the molecular interaction system by adopting near-infrared pulse laser, and collecting the change of the fluorescence lifetime tau of the UCNPs along with the time t and the change of the fluorescence intensity I along with the time t in real time to obtain a tau-t curve and an I-t curve; and S4, according to the tau-t curve and the I-t curve, realizing in-situ dynamic monitoring on the molecular interaction state. According to the method, a molecular binding / dissociation event is directly converted into a quantifiable and anti-interference optical signal, and the technical defect that in-situ dynamic monitoring of molecular interaction cannot be achieved in a traditional technology is overcome.

The invention discloses a dual-mode response type postoperative infection early-warning intelligent dressing and a preparation method thereof, which are urgent for a novel postoperative dressing with precise infection monitoring, intelligent drug release, excellent material performance, reliable intelligent remote management and low-cost mass production potential. The invention aims at solving the problems of the existing dressing in all directions through an innovative technical scheme. According to the dual-mode response type postoperative infection early-warning intelligent dressing and the preparation method thereof, infection signals are accurately captured, intervention is performed in advance, through cooperative monitoring of the pH sensor (the detection error is + / -0.1) and the temperature sensor (the precision is + / -0.1 DEG C), compared with a traditional single-mode dressing, infection symptoms (for example, the pH is larger than 7.5, and the temperature is larger than 37.5 DEG C) are found 12-48 hours earlier, the infection early-warning accuracy rate is increased to 95% or above, and the application range is wide. The self-calibration technology has the advantages that background interference of double emission silicon points (427nm / 500nm fluorescence peaks) is eliminated through the fluorescence intensity ratio, errors of single-wavelength detection are avoided, and the method is suitable for a complex wound environment.

The present invention combines a fluorescence sensor with an array to provide a fluorescence sensing array detection platform and a detection method for multiple plasticizers. The fluorescence sensing array detection platform includes a B-doped graphene quantum dot solution using N,N-dimethylformamide as a solvent and a B-GQDs solution using cyclohexane as a solvent; the fluorescence intensity of the B-GQDs solution with DMF as the solvent at the fluorescence characteristic peak obtained under ultraviolet light excitation at a wavelength of 350 nm, and the fluorescence data at 391 nm, 413 nm, and 434 nm are used as array points 1, 2, and 3; the fluorescence intensity of the B-GQDs solution with CH as the solvent at the fluorescence characteristic peak obtained under ultraviolet light excitation at a wavelength of 350 nm, and the fluorescence data at 386 nm, 408 nm, and 430 nm are used as array points 4, 5, and 6; thus, a 3×2 fluorescence sensor array is constructed. The detection method using the fluorescence sensor array of the present invention has simple steps, and has satisfactory specificity, reproducibility, stability and practicability, and has application potential.

A measurement spectrum obtained by irradiating a particle labeled with a plurality of fluorescent dyes with excitation light is separated for each fluorescent dye with high accuracy. Provided is a particle analysis system (1) including a plurality of photodetectors (23) configured to acquire light generated by irradiating a particle labeled with a plurality of fluorescent dyes with excitation light; and an information processing unit (132) configured to calculate fluorescence intensity of each fluorescent dye by performing separation processing on a measurement spectrum based on measured values from the plurality of photodetectors (23) with a single staining spectrum of each fluorescent dye, in which the separation processing is performed by using a weighted least squares method (WLSM) including a weight determined based on a variation in the measured values.

A fluorescence intensity enhancer containing a water-soluble compound having a melting point of 50 DEG C or higher, a method for enhancing the fluorescence intensity of a fluorescently labeled target biological substance using the fluorescence intensity enhancer, and a fluorescence detection kit containing the fluorescence intensity enhancer.

The invention relates to the technical field of nuclear radiation detection management, and discloses a nuclear radiation detection management system based on artificial intelligence, comprising: a dynamic sensing module which detects nuclear radiation through quantum sensing to obtain radiation data, captures NV color center fluorescence intensity, analyzes to obtain gamma ray dose rate, constructs a nanoscale olfactory receptor simulation structure, and sends the radiation data to a control module; radioactive gas is detected and cooperatively monitored; the reasoning calculation module is used for analyzing space-time correlation based on radiation data, optimizing algorithm to accelerate result output, adjusting calculation complexity by calculating dynamic weight distillation, and correcting data transmission in real time; the decision management module is used for constructing a four-dimensional causal graph based on the radiation data, performing intervention simulation, evaluating a decision long-term effect, screening an optimal decision, and performing adversarial training based on historical repair case data; and the fusion cooperation module is used for establishing a cross-mechanism federated learning framework, carrying out hash operation on the radiation data, and establishing an NFT (Network Fourier Transform) on a block chain through an intelligent contract for query, verification and transaction.

The invention discloses a digital single-molecule enzyme multi-activity characteristic cross-scale heterogeneity dynamic evaluation method, which comprises the following steps: diluting a pre-combined enzyme-template-primer ternary complex to a single-molecule level so as to load the enzyme-template-primer ternary complex into a reaction chamber in a micropore array chip for rolling circle amplification, a molecular beacon is combined with an amplification product to release a fluorescence signal; monitoring and acquiring the fluorescence signal in real time to generate a time-resolved fluorescence intensity curve; extracting a slope parameter of the fluorescence intensity curve so as to obtain a catalytic synthesis rate through conversion calculation for evaluating enzyme activity; the distribution of catalytic synthesis rate values is fitted using an n-fold Gaussian mixture model to obtain a standard deviation for assessing population homogeneity and a coefficient of variation for assessing stability. According to the invention, cross-scale analysis of single-molecule resolution, multi-parameter dynamic association and environmental interference processing can be realized at the same time, and resolution limitation of a traditional analysis technology is broken through by integrating single-molecule fluorescence tracking and population statistics.

The invention relates to the technical field of skin lesion area reconstruction, in particular to a skin lesion area reconstruction system based on multi-modal image fusion. The system comprises a deep multi-scale feature extraction module, a skin thermal anomaly feature extraction module, a hemodynamic feature extraction module, a depth and boundary feature extraction module, a skin surface feature extraction module, a fluorescence intensity distribution and morphological feature extraction module, a first feature fusion module, a second feature fusion module and a lesion area reconstruction module. According to the method, appearance, heat, blood flow, structure and surface features are extracted from the multi-modal data, then the multi-modal image data are integrated, finally, comprehensive representation and reconstruction of skin lesion appearance, function and structure information are achieved according to the synergistic effect of the multi-modal information, and the accuracy and clinical reference value of lesion area reconstruction are effectively improved.

The invention discloses an optical communication wavelength meter for exciting rubidium atom two-photon transition based on a lithium niobate microcavity optical comb. The optical communication wavelength meter comprises a microcavity optical comb module, a repetition frequency phase-locked loop, an initial frequency phase-locked loop, a rubidium atom gas chamber and a frequency-stabilized light source. The micro-cavity optical comb module is used for generating a fundamental frequency optical comb and a frequency doubling optical comb, rubidium atom two-photon transition is directly excited, the frequency stabilization light source achieves frequency stabilization through rubidium atom saturation absorption, and the repetition frequency phase-locked loop feeds back and adjusts repetition frequency according to error signals of two-photon transition fluorescence intensity. The initial frequency phase-locked loop feeds back and adjusts the initial frequency through beat frequency signals of the frequency multiplication optical comb and the frequency stabilization light source, and the two groups of phase-locked loops stabilize the frequency of the microcavity optical comb to two groups of transition energy levels, so that locking of the repetition frequency and the initial frequency is realized. According to the optical communication wavelength meter based on the lithium niobate microcavity optical comb excitation rubidium atom two-photon transition, the cross modulation effect in a pumping wavelength and pumping power combined adjustment mechanism is avoided, and the size of the optical communication wavelength meter is reduced.