1218 results about "Fluorescence intensity" patented technology

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 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 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 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 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 relates to the technical field of NV color centers, and discloses an NV color center magnetic field and current measurement method and system. The method comprises the following steps: performing decomposition and noise reduction on the two to generate target three-dimensional data, and constructing a joint response equation by combining the resonant frequency offset and the fluorescence intensity change value of the target three-dimensional data; and finally, decoupling the equation to obtain a global magnetic field estimation value, and determining a current density distribution diagram according to the value and the vacuum magnetic conductivity. According to the method, the initial signal quality is improved through the quantum coherence enhanced pulse sequence, the influence of interference such as environmental thermal noise on the magnetic field signal is effectively weakened through decomposition noise reduction and joint response equation decoupling, and the magnetic field characteristics are accurately extracted, so that high-precision data support is provided for subsequent magnetic field analysis and current density distribution determination. The technical problem that in the prior art, interference such as environmental thermal noise exists generally, so that initially-collected magnetic field signals are mixed with a large amount of noise, and follow-up magnetic field and current analysis is seriously affected is solved.

This invention discloses a method for determining fiber microplastics in aqueous textile solutions based on fluorescence spectrophotometry, belonging to the field of textile pollutant detection technology. The method includes: S1, collecting wastewater and filtering it through a filter membrane; S2, rinsing the filter membrane with sodium hypochlorite solution; S3, rinsing the fiber microplastics on the filter membrane into a separatory funnel; S4, pouring out a portion of the fiber microplastics from the upper end of the separatory funnel and collecting another portion from the lower end; S5, repeating S1-S4, rinsing the filter membrane with hydrochloric acid during this process, and collecting the remaining fiber microplastics; S6, dyeing the three solutions obtained; S7, preparing standard series solutions using polyester, polyamide, and polypropylene standard liner; S8, measuring and plotting a standard curve of fluorescence intensity versus fiber microplastic concentration using a fluorescence spectrophotometer; S9, measuring the fluorescence intensity of the three solutions obtained in S6. This invention is applicable to the field of aqueous textile solutions, enabling quantitative analysis of unknown samples, and can analyze both single and mixed samples with minimal detection bias.

The invention provides a preparation method of nitrogen and phosphorus-doped carbon dots and application of the nitrogen and phosphorus-doped carbon dots in quercetin detection, the nitrogen and phosphorus-doped fluorescent carbon dots (N, P-CDs) are successfully constructed for the first time by adopting a hydrothermal synthesis method, and the carbon dots have emission peaks at 465 nm under the excitation wavelength of 325 nm and show green fluorescence under the irradiation of an ultraviolet lamp; quinine sulfate is used as a standard reference substance, and the quantum yield is 1301%; an N, P-CDs solution is used as a probe molecule, after quercetin is added, fluorescence quenching of N, P-CDs is induced, and the concentration of quercetin and the fluorescence intensity of N, P-CDs are linearly changed, so that the method can be used for quantitative detection of quercetin. The N, P-CDs preparation method provided by the invention is simple and rapid, the product property is stable and non-toxic, the detection sensitivity on the quercetin is high, and the N, P-CDs can be used for detecting the content of the quercetin in serum.

The invention belongs to the technical field of iron ion detection, and particularly relates to a rapid detection method for ferric ions in water, which comprises the following steps: a fluorescent probe preparation step: taking trihydrate of copper nitrate and tryptamine, adding into a centrifuge tube in sequence, adding ultrapure water, performing ultrasonic dissolution, transferring into a high-pressure reaction kettle, and performing hydrothermal reaction to obtain a fluorescent probe; cooling to room temperature, centrifuging the obtained yellow green solution in a centrifugal machine, and filtering the supernate through a microfiltration membrane to obtain a copper-doped carbon quantum dot CuCDs stock solution, namely the fluorescent probe; analyzing and determining Fe < 3 + >: taking the diluent of the prepared CuCDs solution, adding the diluent into a centrifugal tube containing a Fe < 3 + > standard solution, uniformly mixing, carrying out fluorescent quantitative analysis and detection, and exploring the change rule of the fluorescence intensity ratio of CuCDs; according to the rapid detection method for Fe < 3 + > provided by the invention, the synthesized CuCDs have high sensitivity, can realize on-site rapid detection of Fe < 3 + > in a water medium, and shows a wide application prospect in the field of environmental monitoring.

The invention belongs to the technical field of fluorescent sensing materials, and particularly relates to a ratio metering type fluorescent probe based on a metal organic framework (MOF) material as well as a preparation method and application of the ratio metering type fluorescent probe. The probe material emits blue light, after 2, 6-dipicolinic acid (DPA) is added, the DPA enhances fluorescence emission of Tb < 3 + > and inhibits emission of coumarin through an antenna effect, the fluorescence intensity ratio (I548 / I429) between two emission bands is changed, a good linear response relation is shown in the concentration range of 0-90.0 mu M, the detection limit is 0.13 mu M, and high-sensitivity ratio type detection of the DPA is achieved. After detection is finished, phosphate radical (PO4 < 3->) ions are added, so that the antenna effect can be effectively quenched, the initial fluorescence state is recovered, and meanwhile, the method can be used for detecting the concentration of phosphate radicals. After DPA is added again, reactivation can be realized, so that recycling can be realized, and the limitation of disposable use of a traditional fluorescent probe is broken through.

The embodiment of the invention relates to the technical field of drug detection, in particular to an anti-CD38 antibody drug receptor occupation detection method and system, a peripheral blood sample is used for preparing a single-cell suspension, the single-cell suspension is divided into a TEST tube and an FMO tube, a cell surface antibody and an RO detection antibody are added into the TEST tube, only the cell surface antibody is added into the FMO tube, and only the RO detection antibody is added into the FMO tube. The TEST tube and the FMO tube are subjected to sample detection analysis, so that the average fluorescence intensity of RO detection antibodies of the TEST tube and the FMO tube is obtained. And performing RO detection analysis by adopting a dissociation method, taking the tubes which are not combined with the medicine as a total receptor group, taking the tubes which are combined with the medicine as a dissociation receptor group, and calculating an RO detection result according to the average fluorescence intensity of the TEST tube and the FMO tube.

The invention relates to the cross technical field of biological medicine and image processing, and discloses a mesenchymal stem cell aging detection method based on image processing. The method comprises the following steps: automatically collecting bright field and multi-channel fluorescence images in an integrated cell culture monitoring device; after background correction and illumination homogenization, segmenting the cells by using a U-Net network and extracting single cell contours; calculating characteristics such as cell area, roundness, cytoplasmic ratio, nuclear form irregularity index, lysosome fluorescence intensity mean value and distribution entropy; and inputting a gradient boosting decision tree model to judge the unicellular aging state, and evaluating population aging with a 20% positive rate threshold. According to the invention, label-free, non-invasive and high-flux accurate detection is realized, and the method is superior to manual interpretation.

The invention relates to a radiation contamination simulation detection equipment control method based on an ultraviolet fluorescence signal, which is applied to radiation contamination simulation detection equipment, and the equipment comprises a detection probe. The method comprises the steps that a fluorescence intensity original signal and an ambient light interference signal of a target area are collected, the distance between a detection probe and a target surface is obtained, a fluorescence simulation agent is sprayed on the target area and irradiated by an ultraviolet LED lamp, and the simulation agent is used for emitting fluorescence with the wavelength larger than 450 nm under excitation of ultraviolet light; based on the distance and the ambient light interference signal, performing coupling compensation on the fluorescence intensity original signal; and calculating a radiation simulation value according to the calibration fluorescence intensity signal, and outputting information such as the radiation simulation value, the safety level and the component type. According to the method, through non-radiation simulation agent replacement, signal calibration and multi-dimensional analysis technical means, the safety of radiation detection training is improved, the health threat of a real radioactive source to trainees is eliminated, and the accuracy and the information amount of a detection result are remarkably improved.

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 water quality detection, and provides a fluorescence detection test paper visualization system and method based on deep learning, and the method comprises the steps: detecting a fluorescence detection test paper image obtained through shooting through a target detection network, and obtaining a test paper main body region, a colorimetric block region and a test paper key angular point coordinate; performing homographic perspective transformation on the main body area of the test paper according to the key angular point coordinates of the test paper, generating a test paper standard view after perspective correction, performing color space standardization correction, generating a mixed deep learning model, and outputting a fluorescence intensity concentration predicted value of the target detection area; generating an interpretable thermodynamic diagram based on the intermediate features of the mixed deep learning model; according to the method, shooting deviation is eliminated through multi-stage image correction, the fluorescence intensity is accurately quantified by fusing CNN and Transform models, the result credibility is improved in combination with a thermodynamic diagram, and the detection automation is comprehensively improved.

The invention relates to the technical field of liquid phase chips, in particular to an autoantibody spectrum detection platform based on a liquid phase chip technology, and the method comprises the following steps: preparation and functionalization of quantum dot encoding microspheres; the core-shell structure quantum dots are used as coding elements, and fluorescence coding combination of more than 1000 is realized by regulating and controlling the size, 3-10nm, Mn < 2 + > doping and spatial distribution of the quantum dots. The method has the advantages of super multi-target detection, super sensitivity, strong anti-interference capability and intelligent analysis, in the actual process, the core-shell structure quantum dots are adopted as coding elements, more than 1000 fluorescent coding combinations are realized by regulating and controlling the size, doping and spatial distribution of the quantum dots, high-density coding is realized by utilizing three-parameter coding and an orthogonal decoupling algorithm, and the method is suitable for large-scale industrial production. More types of autoantibodies can be detected at the same time, so that the detection flux is improved; the surfaces of the quantum dots are coated with silicon dioxide layers, and the fluorescence intensity is attenuated by lt under continuous laser irradiation; and the stability of a fluorescence signal in the detection process is ensured.

The invention relates to the technical field of fluorescence detection, in particular to a three-dimensional fluorescence detection correction method based on double light sources, and the correction method comprises the following steps: obtaining double light source optical parameters, sample cell geometric parameters and original fluorescence intensity data, the geometric parameters of the sample pool comprise the length, width, height, pool wall reflection coefficient and sample attenuation coefficient of the sample pool; and constructing a light intensity distribution model in a three-dimensional space of the sample cell based on the optical parameters of the double light sources and the geometric parameters of the sample cell. According to the invention, accurate characterization of the light intensity of any spatial point in the sample cell is realized, light intensity deviation caused by various factors is quantified from the source, personalized correction is carried out on each spatial point, the influence caused by optical path difference at different positions, light source fluctuation and element error is effectively offset, and the accuracy and accuracy of the detection result are improved. The consistency of detection values of standard substances with the same concentration in different areas of the sample pool is greatly improved, and the linearity of a standard curve is remarkably optimized.

Methods of obtaining a stained image of a biological sample using a single channel label -free fluorescence lifetime image of the sample comprising a fluorescence intensity image and associated fluorescence lifetime image as described. The methods comprise obtaining a single channel composite autofluorescence intensity and lifetime image from the single channel label -free fluorescence lifetime image, and providing the single channel composite autofluorescence intensity and lifetime image as input to a deep learning model that has been trained to take as input a single channel composite autofluorescence intensity and lifetime image and provide as output a corresponding stained image. Related methods, systems and products are also described.

The invention relates to a gallium oxide defect detection method. The method comprises the following steps: step 1, obtaining exciting light with a proper wavelength; 2, modulating the exciting light obtained in the step 1 so as to enable the exciting light to accurately enter a microscope system with proper energy; 3, irradiating the modulated exciting light to a gallium oxide sample on an electric displacement table through a microscope system, collecting fluorescence generated after the gallium oxide sample is excited through the microscope system, and transmitting the fluorescence to a spectrograph system to obtain a corresponding fluorescence spectrogram under a preset single pixel point position; and 4, setting a spectrograph system to collect the fluorescence intensity under a specific wavelength, and driving the gallium oxide sample to move through an electric displacement table so as to scan the fluorescence intensity of all pixel point positions in a sample detection range, thereby obtaining a gallium oxide defect fluorescence intensity imaging graph in the sample detection range. The method has the advantage of high sensitivity, can realize rapid nondestructive detection, and also reduces the detection cost at the same time.

The invention provides a method for specifically detecting AFP based on a photoinduced electron transfer effect between blood orange RCDots and an AFP-aptamer, and the preparation and AFP detection principles of a near-infrared PET fluorescent probe for AFP detection are as follows: the RCDots with rich carboxyl groups on the surface can strongly adsorb ssDNA to the surface of the RCDots through pi-pi stacking interaction; and a formed RCDots / AFP-aptamer compound is subjected to a photo-induced electron transfer effect, so that the fluorescence of the RCDots is remarkably quenched. However, the affinity between the AFP and the AFP-aptamer is stronger than pi-pi stacking interaction, so that ssDNA is separated from the surface of the RCDots, the light-induced electron transfer effect disappears, the fluorescence of the RCDots is recovered, and the fluorescence intensity is changed along with the change of the concentration of the AFP, so that the concentration of the AFP is detected with one kind of specificity. The detection method is simple, has the characteristics of wide detection linear range, low detection limit, good specificity and the like, and can be widely applied to clinical detection of liver cancer markers.

The invention belongs to the field of smart power grids, and discloses a new energy efficient scheduling method and system based on a smart power grid. Comprising the steps of embedding diamond NV color center microsensors to form a networked array, collecting and outputting original data in real time, extracting auxiliary environment variables for correction, generating weight vectors, adjusting a fluorescence intensity sequence layer by layer, extracting projection values for iterative optimization, and outputting a harmonic phase matrix. Decomposing a harmonic phase matrix, extracting coupling path characteristics, calculating entanglement entropy, simulating storm evolution and outputting an alarm packet if the entanglement entropy exceeds a threshold value, otherwise, continuing circulation; reconstructing a topological structure based on the alarm packet, injecting a chaos inversion signal, verifying stability and outputting a configuration abstract; and receiving a configuration abstract to operate the pulse neural network, generating an instruction based on an optical topology scheduling strategy, encrypting a distribution instruction, releasing a compensation limit and completing execution, thereby realizing new energy efficient scheduling based on the smart power grid.

The application discloses a kind of multiple immunofluorescence detection method, equipment and medium based on space reconstruction, it is related to histopathological analysis technical field, including, preparation tissue sample and join fluorescent reference microbead to obtain continuous section;To the tissue sample cycle pretreatment, and utilize fluorescent reference microbead to carry out intensity normalization and bleaching time shift correction, obtain correction image sequence;Spectral unmixing is carried out under three-dimensional voxel coordinate system and introduces space regular constraint, obtain voxel level fluorescence intensity vector;Combining nuclear dye signal and fluorescent reference microbead, using rigid and non-rigid registration and supplemented with three-dimensional deconvolution, reconstruct high-resolution voxel stack and segment cell voxel set;The adjacent relationship and colocalization index of different phenotype cells are calculated, and detection result is generated.The application realizes high-resolution tissue and cell reconstruction under three-dimensional space, improves spatial continuity and accuracy, and improves the stability and accuracy of voxel level fluorescence signal quantification.

The invention discloses a divalent nucleic acid aptamer fluorescence detection method based on an exonuclease I auxiliary target circulation strategy, and belongs to the field of analysis and detection.The divalent nucleic acid aptamer is a repetitive sequence composed of two monovalent nucleic acid aptamers and can form double-stranded DNA through base complementary pairing with complementary strand cDNA of the divalent nucleic acid aptamer, and the divalent nucleic acid aptamer can be used for fluorescence detection of the divalent nucleic acid aptamer. The method comprises the following steps: taking a bivalent nucleic acid aptamer as a template, forming a DNA silver nanocluster (DNA-AgNCs) under the action of silver nitrate and sodium borohydride, and when the target okadaic acid exists, combining the bivalent nucleic acid aptamer with the target, so that cDNA can be replaced from double-stranded DNA by the target. Exonuclease I is added to perform enzyme digestion on the cDNA and the divalent nucleic acid aptamer, so that the fluorescence intensity of the DNA-AgNCs can be rapidly reduced. The content of the okadaic acid can be judged by detecting the change of the fluorescence intensity. The invention provides a simple, convenient, rapid, high-sensitivity and high-specificity detection method for okadaic acid detection based on a divalent nucleic acid aptamer for the first time.

The invention belongs to the technical field of temperature sensors, and particularly relates to an up-conversion luminescence temperature sensor based on a plasmon effect and preparation and application thereof. The core of the sensor provided by the invention is a composite structure formed by a gold nanorod array and Er < 3 + > and Yb < 3 + > co-doped NaYF4 up-conversion nanoparticles, and the gold nanorod array is prepared by adopting a two-way aluminum oxide template method and is regularly and orderly arranged in a hexagonal shape. Under the excitation of 980nm near-infrared light, the local surface plasmon resonance effect of the gold nanorods can significantly improve the up-conversion luminescence intensity and accelerate the thermal response rate of the sensor; the ratio type temperature sensing system is constructed by detecting the fluorescence intensity ratio of two emission bands of 515-535 nm and 535-555 nm, self-calibration accurate detection within the temperature range of 303-348 K can be achieved, and the sensor has the advantages of being uniform in structure, controllable in preparation, high in detection sensitivity, high in response speed and the like.

The invention discloses a coal slime flotation dosing data processing method and system. The method comprises the steps that a continuous image sequence of surface foam of a flotation cell is collected, and X fluorescence detection signals are collected; converting the continuous image sequence from an RGB color space to an HSL color space; the change rate of the single foam surface area along with time is calculated to track the foam fusion behavior, and an overall foam merging rate index is obtained; calculating the foam viscosity according to the integral foam merging rate index and the diameter distribution of the foam; calculating the foam ash content and the foam water loading rate according to the fluorescence intensity and the total fluorescence signal in the X fluorescence detection signal; constructing a multi-modal feature vector; according to the multi-modal feature vector, feature extraction is carried out through a neural network, and a foam quality comprehensive score and a foam change trend are obtained; aiming at inaccurate extraction of coal slime flotation froth features in the prior art, the stability and the product quality of the flotation process are improved through combination of visible light image features and X fluorescence chemical indexes and the like.