998 results about "Fluorescence intensity" patented technology

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 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 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.

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 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 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 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.

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.

The invention discloses an antibiotic pollution self-adaptive detection method based on fluorescence spectrum overlapping degree evaluation. The method comprises the following steps: firstly, carrying out baseline removal, Raman scattering deduction and inner filter effect correction on original excitation-emission matrix (EEM) data; then, determining a scattering area, evaluating the fluorescence intensity gradient, the distribution characteristic and the spectrum shape matching degree in the scattering area, quantifying to obtain an overlapping degree index, and adaptively selecting and implementing a scattering processing strategy based on the overlapping degree index: adopting an interpolation method for a low overlapping condition; for a high overlapping condition, performing fine processing by using an iterative fitting-subtraction method or a deep learning model; and finally, smoothing and standardizing the processed EEM data, and outputting a high-quality fluorescent fingerprint spectrum for antibiotic component identification and qualitative and quantitative analysis. According to the method, effective antibiotic fluorescence information can be reserved to the maximum extent, scattering interference is effectively removed, and the accuracy and reliability of antibiotic pollution detection are remarkably improved.

The invention relates to the technical field of biotechnology detection data processing, discloses a PCR detection fluorescence intensity data processing system and method, and aims to solve the problems of low signal-to-noise ratio of fluorescence signals, inaccurate baseline deduction and poor Ct value judgment consistency in the prior art. The method comprises the following steps: processing an original fluorescence signal through adaptive wavelet threshold noise reduction, dynamically determining and correcting a baseline interval, extracting amplification curve characteristic parameters, dynamically adjusting a fluorescence threshold line according to amplification efficiency, identifying an abnormal amplification mode by using a pre-trained deep learning model, and finally integrating results to generate a comprehensive detection report. By adopting the technical scheme, the signal-to-noise ratio of the fluorescence signal and the baseline deduction precision can be remarkably improved, the consistency of the Ct value is improved, multiple abnormal amplification modes are automatically detected, and a full-automatic processing flow is realized.

The invention designs a preparation method of a magnetic molecular imprinting-aptamer sandwich fluorescence sensor for detecting kanamycin. And the magnetic molecular imprinting composite material Fe3O4 (at) UiO-66 (at) MIP with a specific adsorption target object KANA is prepared. When a detection target object KANA exists, the Fe3O4-coated UiO-66-coated MIP can rapidly and specifically capture the KANA in a short time. Then, a DNA single-stranded aptamer marked with FAM is added, after the aptamer and KANA captured on the surface of the Fe3O4 at-UiO-66 at-MIP are subjected to specific recognition and magnetic separation again, an aptamer probe can enter sediment along with the magnetic composite material Fe3O4 at-UiO-66 at-MIP, the fluorescence intensity of supernate is reduced, and quantitative analysis is conducted according to the fluorescence difference value delta F. When the KANA does not exist, the aptamer cannot enter the precipitate, so that the fluorescence signal intensity is not changed. Double recognition is formed through specific binding of an MIP imprinting cavity and the aptamer, matrix interference is reduced by means of fluorescence characteristics and magnetic separation capacity, the method has the advantages of being high in adsorption capacity, specific in recognition, high in sensitivity, wide in detection range, good in selectivity and the like, and rapid and accurate detection of KANA in a complex sample can be achieved.

A fluorescence analysis method for irradiating, with excitation light, a suspension in which a target substance is dispersed and analyzing measured intensity of fluorescence, the method comprising: acquiring a first intensity of fluorescence having a reference emission wavelength corresponding to the target substance and a second intensity of fluorescence having the reference emission wavelength or having an emission wavelength different from the reference emission wavelength, as measured by irradiating the suspension with excitation light having a reference excitation wavelength corresponding to the target substance; calculating representative values of the first intensity and the second intensity; and estimating the concentration of the target substance in the suspension on the basis of the representative values.

The invention provides a high-enthalpy shock tunnel free flow electron density two-dimensional diagnosis system and method. The system comprises a laser, a sheet light assembly, a double-camera imaging system, a time sequence synchronizer, a work station and other core components. NO molecules in a flow field are excited by laser to generate fluorescence, two fluorescence images with nanosecond delay are obtained by using a spectroscope and two sets of synchronous acquisition systems, fluorescence lifetime two-dimensional distribution is calculated based on a fluorescence intensity ratio, and then two-dimensional space distribution of electron density is obtained through inversion of a physical model. Non-contact measurement is achieved, interference of a traditional probe on a flow field is avoided, the method has the outstanding advantages of two-dimensional visualization, high temporal-spatial resolution, high measurement precision and the like, and a reliable diagnosis means is provided for high-enthalpy flow field characteristic research and aircraft communication performance evaluation.

The invention belongs to the related technical field of fluid temperature field measurement, and discloses a Scanning LIF technology-based three-dimensional temperature field measurement system and method, which comprises a sheet light scanning module and a double-color image synchronous acquisition module, and is characterized in that a parallel sheet light source is generated through double-camera double-color synchronous imaging and galvanometer scanning; according to the system, space calibration images, temperature calibration images and experiment images at different positions can be obtained through testing, the experiment images collected by the two cameras are subjected to ratio processing after space calibration, and a fluorescence intensity ratio-temperature relation curve is generated through temperature calibration at different positions. And a temperature field image corresponding to each position can be calculated. The system can generate parallel sheet light sources, and can change the number of scanning sheet light, the deflection angle of the galvanometer, the motion mode of the galvanometer, the residence time and the moving time of the galvanometer in a period, the exposure time of a camera and the like according to measurement requirements so as to meet actual use requirements.

The invention relates to the field of water quality detection, in particular to a water quality sampling detection method and device applied to a small and micro wetland unit. The method comprises the following steps: determining a turbidity coefficient according to scattered light intensity of a target water sample under different wavelengths, absorbance of a target interval in an ultraviolet absorption spectrum and fluorescence intensity of a target area in a fluorescence spectrum; determining a scattering equivalent absorption value of each wavelength according to the scattered light intensity of the target water sample under each wavelength, the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the turbidity coefficient; determining a real ultraviolet absorption signal of each wavelength according to the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the scattering equivalent absorption value of the wavelength; correcting the fluorescence spectrum according to the turbidity coefficient and the scattering equivalent absorption value of each wavelength to obtain a corrected fluorescence spectrum; and detecting the water quality according to the corrected fluorescence spectrum and the real ultraviolet absorption signal of each wavelength. According to the invention, accurate water quality sampling detection can be provided.

The invention relates to the technical field of adhesive tape defect detection, in particular to a multi-parameter-based automobile adhesive tape detection system and method.The automobile adhesive tape detection system is provided with an identification adding module, an acquisition module, a pre-analysis module, a defect classification module and a positioning detection module, and the surface of an adhesive tape is coated with a fluorescent material through the identification adding module; the method comprises the following steps: detecting the fluorescence intensity value of a rubber strip to form a plurality of groups of fluorescence identifiers, stretching the rubber strip in the axial direction through a stretching unit, acquiring local extension characterization quantity of each group of fluorescence identifiers through a pre-analysis module to determine a suspected defect interval section, and determining the expression category of the suspected defect interval section according to the change condition of the fluorescence intensity value through a defect classification module. And the positioning detection module is used for positioning the defect position of the adhesive tape. Furthermore, the defect type is accurately identified through multi-parameter collaborative analysis, the detection strategy is dynamically adjusted according to the defect type, and the requirement for high-quality detection of the adhesive tape for the automobile is met.

The invention discloses an anti-caries early warning method and system based on oral health detection, and belongs to the technical field of data processing. The method comprises the following steps: acquiring and processing target detection data to generate a clear enamel demineralization feature image and a buffer capability score; analyzing pixel-level fluorescence intensity distribution by adopting a convolutional neural network model, determining a quantized value of the enamel demineralization degree, and further determining a comprehensive dental caries risk level category; judging a risk change trend according to the historical target detection data sequence to obtain a dynamic evaluation update value; a data fusion algorithm is adopted to obtain a final decayed tooth risk assessment index, and risk early warning information is generated according to the early warning template; by integrating fluorescence imaging, an image enhancement algorithm, a convolutional neural network, spectral analysis, k-means clustering and time sequence analysis, a complete process from enamel demineralization feature extraction to comprehensive risk assessment is constructed, the accuracy and individuation level of decayed tooth risk assessment are remarkably improved, and a scientific basis is provided for early prevention and intervention.

The invention provides methods for the detection of molecular targets by digital PCR (dPCR) using a set of universal probes and target-specific tailed primers. Each target is amplified by a unique mixture of primers. The tailed amplicons anneal to a universal set of probes to detect the associated targets. Some targets are amplified using more than one tailed primer. Some targets are amplified using the same multiple tailed primers. In these embodiments, the primers are concentrated to produce a different number of amplicons for each tailed primer, resulting in a different probe-amplicon balance for each target. Two colors of fluorescence intensity are read and plotted as a 2D plot. In the plot, different targets contribute well-resolved clusters. Each cluster in the plot essentially lies a long its own radius allowing for radial multiplexing. The use of a universal set of probes in multiple assays provides for greater flexibility and throughput.

This invention discloses a method for detecting *Salmonella typhimurium* based on magnetic covalent organic frameworks and aptamer-modified gold nanoparticles, belonging to the field of food safety technology. The method uses a magnetic covalent organic framework as a capture probe to capture *Salmonella typhimurium* present in the detection system. After incubation, the magnetic covalent organic framework-*Salmonella typhimurium* complex is collected by magnetic separation. Then, aptamer-modified gold nanoparticles are added, and after incubation, the complex formed by the magnetic covalent organic framework-*Salmonella typhimurium* complex and the aptamer-modified gold nanoparticles is collected by magnetic separation. Finally, a TPE-4A / hydrogen peroxide substrate solution is added, and the absorbance and / or fluorescence intensity are measured. Color parameters are extracted using a smartphone. This method is simple to operate, highly sensitive, and highly specific. Three detection modes work together for self-testing, resulting in accurate and reliable results.