71results about How to "Low background noise" patented technology

The invention provides a dynamic target tracking method and system based on image return, and relates to the technical field of image data processing, and the dynamic target tracking method based on image return comprises the following steps: collecting image data of a target scene, recognizing a to-be-tracked target and position information of the to-be-tracked target by using a double-layer random forest recognition algorithm, and predicting a motion track of the to-be-tracked target; according to the predicted motion track of the to-be-tracked target and the position information of the unmanned aerial vehicle, and based on a target function of the distance between the unmanned aerial vehicle and the to-be-tracked target, using a cooperative control strategy to adjust flight parameters of the unmanned aerial vehicle; and the unmanned aerial vehicle continuously tracks the to-be-tracked target, and after tracking is finished, the cloud server stores the position information and the movement track of the to-be-tracked target in the tracking process. The system has the advantages of real-time performance, high efficiency, intelligence, data storage and subsequent analysis, expansibility and flexibility, safety improvement, risk reduction and the like.

The invention discloses an AIE type fluorescent probe with tumor targeting as well as preparation and application thereof, and belongs to the technical field of medicines, the probe can accurately target HDAC6 high-expression tumor cells, the specific binding capacity of the probe reduces interference to normal cells, and the detection accuracy is improved. The probe is fused with AIE performance dye molecules and emits strong fluorescence during aggregation, so that the imaging sensitivity and definition are remarkably enhanced. By optimizing the structure and synthesis conditions, the fluorescence intensity and stability of the probe are improved, the sensitivity of early tumor detection is ensured, and the survival rate and life quality of patients are improved. The preparation method is simple, convenient, feasible, low in cost and beneficial to practical application. The probe can be used for preparing tumor detection products, assisting in tumor diagnosis and classification, monitoring treatment changes and evaluating the curative effect. High-precision imaging can be realized in the aspect of tumor imaging, the method can be used for evaluating curative effect and guiding formulation of subsequent treatment schemes, and the application prospect is wide.

The invention discloses aggregation-induced emission microspheres with colorimetric-fluorescence double signals as well as a preparation method and application of the aggregation-induced emission microspheres. The aggregation-induced emission microsphere comprises a carboxyl polystyrene microsphere and an aggregation-induced emission dye embedded in the carboxyl polystyrene microsphere, the aggregation-induced emission microsphere has colorimetric-fluorescence double signals, is red under natural light, has strong absorption at 600nm, shows high luminous efficiency at 725nm, not only effectively avoids the interference of biological autofluorescence and reduces background interference, but also has good light stability and photobleaching resistance, and can be used for preparing the aggregation-induced emission microsphere. And due to the high molar extinction coefficient, the colorimetric and fluorescent double-signal output capability is realized at the same time. In addition, the aggregation-induced emission microspheres are high in reproducibility in the preparation process, have the potential of large-scale synthesis and meet the requirements of industrial batch production.

The invention provides a water quality multi-parameter detection method and system based on ultraviolet-visible light section spectroscopy, which are used for detecting turbidity, chemical oxygen demand and nitrate nitrogen concentration in a water sample. The method comprises the following steps: firstly, acquiring spectral data of a water sample, converting the spectral data into absorbance, then calculating influence factors of turbidity, chemical oxygen demand and nitrate nitrogen on a mixed sample spectrum, and dividing a spectral range into three characteristic spectral sections according to the influence factors, which correspond to the turbidity, the chemical oxygen demand and the nitrate nitrogen respectively. And finally, establishing a multi-parameter detection model by using a partial least squares PLS method for predicting turbidity, chemical oxygen demand and nitrate nitrogen concentration. According to the method, the interference of serious overlapping of multi-parameter spectral lines is avoided through segmented analysis of the spectrum, the detection precision is improved by utilizing a method of fusing the first-order derivative spectrum, and particularly, the effect in the aspect of nitrate nitrogen detection is remarkable. The method is easy and convenient to operate and low in cost, and a more effective technical means is provided for water quality monitoring and water environment protection.

The invention discloses a surface enhanced Raman scattering (SERS) micro-plastic detection method based on a solvent dispersion strategy, which comprises the following steps: filtering and enriching a liquid containing a sample to be detected by adopting a centrifugation and suction filtration mode or a mode of adopting a Raman substrate with a filtering function, dissolving the filtered sample to be detected by using an organic solvent; heating to completely volatilize the organic solvent, performing Raman detection on the to-be-detected sample to obtain Raman signal intensity, substituting the obtained Raman signal intensity into a known relationship between the sample concentration and the Raman signal intensity, and finally obtaining the actual concentration of the to-be-detected sample. According to the method, the micro-plastic is dissolved and dispersed in the organic solvent, and then the micro-plastic is subjected to Raman detection, so that the problems of low loading efficiency and low detection sensitivity of a sample to be detected are effectively solved. The method is convenient to operate, the structure of the micro-plastic cannot be damaged, the sample enrichment, dispersion and detection efficiency is effectively improved, meanwhile, the signal intensity is enhanced, background interference is reduced, repeatability is improved, the method has wide applicability, and the micro-plastic Raman detection is more efficient and faster.

The invention relates to a preparation method and application of a novel lactic acid detection fluorescent probe, and belongs to the technical field of fluorescent probes. The preparation method of the fluorescent probe comprises the following steps: synthesizing a core-shell type up-conversion nano material CS-UCNPs; carrying out surface modification on the core-shell type up-conversion nano material CS-UCNPs; coupling of the core-shell type up-conversion nano material CS-UCNPs and an L-lactic acid aptamer is carried out; and synthesizing the magnetic molybdenum disulfide nanosheet MoS2. The L-lactic acid aptamer, the core-shell UCNPs and the magnetic MoS2 are combined for high-sensitivity detection of the lactic acid content, and compared with a traditional blood lactic acid detection method, the method has the advantages of being non-invasive, non-invasive and the like; and the technology has the advantages of simplicity in operation, high specificity, quick response and the like, has a wider detection range and a lower detection limit, and is expected to be applied to actual sample detection work.

The invention belongs to the technical field of radar wave-absorbing material testing, and provides a high and low temperature controllable radar wave-absorbing material reflectivity testing device and method, and the device comprises a microwave darkroom, a detection mechanism and a tested object placement mechanism which are arranged in the microwave darkroom, and a temperature control mechanism; the detection mechanism comprises a first bracket arranged in the microwave darkroom, and a transmitting antenna and a receiving antenna which are arranged on the first bracket; the tested object placing mechanism comprises a second bracket arranged in the microwave darkroom and a cover body arranged on the second bracket and used for placing a tested object; the temperature control mechanism comprises a temperature control box, and an air inlet pipe and an air return pipe which are connected with the temperature control box; the ends, away from the temperature control box, of the air inlet pipe and the air return pipe are communicated with the interior of the cover body, the air quantity and the air speed entering the cover body are controlled through the temperature control box, the temperature and the humidity in the cover body meet preset requirements, the real environment can be simulated, and the heating uniformity of a tested material can be guaranteed through the arrangement of the cover body.

The invention discloses a degraded document image binarization method and system based on adaptive convolution, and the method comprises the steps: 1, collecting a training degraded document image, and carrying out the preprocessing of the training degraded document image and a corresponding binarization label image; 2, inputting a pre-input image of the degraded document image into the adaptive convolutional network model to obtain a binary image of the degraded document image; 3, calculating to obtain an adversarial loss, a classification loss, a similarity loss, a Jaccard similarity coefficient loss and an average absolute value error; step 4, optimizing parameters of the adaptive convolutional network model to obtain an optimal adaptive convolutional network model; and 5, inputting a pre-input image of the target degraded document image into the optimal adaptive convolutional network model to obtain a binary image of the target degraded document image. The method can be applied to degraded document images of various forms of degradation, and high quality and high efficiency of the binarized image are guaranteed.

The invention provides a PCB multi-type defect detection method and device based on frequency domain perception enhancement, a storage medium and a program product, and relates to the technical field of computer vision target detection.The method comprises the steps that a to-be-detected PCB image is input into a backbone network for shallow feature extraction, and shallow feature maps of different processing stages are obtained; respectively inputting the shallow feature maps into a multi-domain collaborative feature enhancement network, performing decomposition enhancement on the shallow feature map in each stage through wavelet transform to obtain an enhanced low-frequency component and an enhanced high-frequency component, and performing first reconstruction on the enhanced low-frequency component and the enhanced high-frequency component through first inverse wavelet transform to obtain an enhanced low-frequency component and an enhanced high-frequency component; obtaining a frequency domain enhanced feature map of each stage; inputting the frequency domain enhanced feature map into a neck network, and enabling the neck network to perform multi-scale feature fusion on the frequency domain enhanced feature map to obtain a fused feature map; and inputting the fusion feature map into a prediction output end for target prediction to obtain a PCB defect detection result.

The invention relates to the field of material chemistry on-line detection, in particular to a 1, 2, 4-trichlorobenzene on-line detection material and a preparation method thereof, and provides a film-forming sensitive layer material capable of being coated on the surface of a transducer, and the film-forming sensitive layer material comprises chitosan, a crosslinking component with the content of 0.1-5wt% in terms of glutaraldehyde and magnetic core-shell molecularly imprinted particles after being dried, the magnetic core-shell molecularly imprinted particle contains a ferroferric oxide magnetic inner core, a silicon dioxide middle layer and a molecularly imprinted polymer shell layer, and the shell layer is a cyclodextrin methacrylate and ethylene glycol dimethacrylate copolymer network and takes 1, 2, 4-trichlorobenzene as a template. The material keeps the membrane integrity and long-term stability under the working conditions of circulation and regeneration and also gives consideration to quick response, and the residual 1, 2, 4-trichlorobenzene is controlled to be not greater than 0.10 wt% and the residual glutaraldehyde is controlled to be not greater than 0.5 wt%. The method is used for relieving structural mass transfer contradiction and processing and coating coupling contradiction caused by high filler load, and has online detection application value.

A space transcriptome in-situ sequencing method for tissue slices relates to the field of gene sequencing, and comprises the following steps: 1) capturing mRNA in situ; 2) carrying out reverse transcription to obtain cDNA; (3) removing tissues and retaining cDNA (complementary deoxyribonucleic acid); 4) carrying out cDNA probe hybridization; 5) performing in-situ amplification; 6) decoding and sequencing the fluorescent probe; and 7) cleaning the probe, and sequencing for multiple rounds. According to the invention, RNA is captured in situ and is reversely transcribed into cDNA, nucleic acid imprinting transfer is realized, background interference is removed, the problem of RNA degradation is solved, and multiple rounds of hybridization are allowed to increase the detection flux. The nucleic acid sequence is covalently bound with a slide to prevent a signal point from shifting and falling off. A DNA coding padlock probe is used for identifying genes, amplifying and amplifying signals, and gene expression is revealed through sequencing and decoding. After the probe is cleaned, the probe is replaced for hybridization amplification, so that the flux is improved, and space crowding and fluorescence signal crowding are reduced.

The invention provides a method for detecting a breast cancer miR-155 marker by using an allosteric ribozyme driven crRNA switch sensor. The sensor is mainly composed of two modules, namely a self-locking inactive Locked crRNA module and an allosteric hammerhead ribozyme module. The Locked crRNA is designed into a hairpin structure with a destroyed repeated region by extending the 3'end of the crRNA. The extended sequence effectively inhibits the assembly of the crRNA and the Cas12a, so that the activity of the CRISPR / Cas12a is inactivated. The design of the allosteric hammerhead ribozyme comprises an allosteric module for target detection and a hammerhead ribozyme sequence. In the absence of miR-155, a prolonged target recognition fragment at the 5'end of hammerhead ribozyme is complementarily paired with a basic group of a flanking arm part, so that the trans-lysis activity of the ribozyme is inhibited; under the condition that miR-155 exists, allosteric hammerhead ribozyme is converted into active conformation, then Locked crRNA is subjected to catalytic cracking in a sequence specificity mode to release natural crRNA, and a CRISPR / Cas12a system is activated to output a detection signal, so that sensitive detection of the breast cancer miR-155 marker is realized. The method is low in background interference, high in specificity, easy to operate and programmable, can be applied to quantitative detection of the miR-155 marker in serum of cancer cells and breast cancer, and has a wide application prospect in field detection and biomedical research.

The invention discloses a crop disease and pest identification method based on an agricultural production service platform. The method comprises the following steps: collecting crop data information; the crop data information comprises crop environment data, crop remote sensing image data and crop physical image data; performing feature extraction on the crop environment data, the crop remote sensing image data and the crop physical image data to obtain an environment feature vector, a remote sensing image feature vector and an image feature vector; performing feature splicing on the environment feature vector, the remote sensing image feature vector and the image feature vector to obtain a comprehensive feature vector; inputting the comprehensive feature vector into a disease and insect pest recognition model for model training to obtain a trained disease and insect pest recognition model; inputting to-be-detected crop data information into the trained pest and disease identification model, and outputting a pest and disease identification result of the to-be-detected crop. According to the invention, rapid and accurate identification and dynamic monitoring of plant diseases and insect pests can be realized.

The invention relates to the field of pesticide residue detection, in particular to a pesticide residue quantitative determination method and system.The method comprises the steps that the retention time of an internal standard substance is obtained, the retention time of to-be-detected pesticide is corrected according to the retention time of the internal standard substance, and the time range of eluent collection is determined according to the retention time of the internal standard substance and the retention time of the to-be-detected pesticide; after uniformly mixing the eluents, obtaining mass spectrograms of the internal standard substance and the pesticide to be detected through a mass spectrometer; determining a ratio of a preset peak area to an actual peak area in a chromatogram output by the detector according to the concentration of the internal standard substance, performing modal decomposition on the chromatogram output by the detector, gradually approaching the ratio to a target value according to a decomposition result, and obtaining an adjusted chromatogram; and correcting the mass spectrum of the pesticide to be detected by using the mass spectrum information of the internal standard substance, and calculating the content of the pesticide to be detected by using the adjusted chromatogram and the corrected mass spectrum.

The invention belongs to the technical field of medical image segmentation, and provides a three-dimensional coronary artery segmentation method and system based on a CNN and a Transform, and the method comprises the steps: constructing a neural network model comprising an encoder and a decoder based on the CNN and the Transform, and enabling a bottleneck layer in the neural network model to comprise a multi-scale feature interaction module; inputting a three-dimensional coronary artery image to be segmented into the neural network model; wherein the features of the three-dimensional coronary artery image to be segmented are extracted in the encoder, and the features are integrated at a bottleneck layer through the multi-scale feature interaction module; and carrying out weighted fusion on the integrated features and sampling features output by each layer of the decoder in the decoder, and outputting a segmentation result. According to the invention, the defect of fragmentation of the segmentation result in the prior art is overcome, and a more accurate segmentation method is provided.

The invention relates to the technical field of biology, in particular to a method for stably improving the titer of horse radish peroxidase labeled streptavidin. According to the method provided by the invention, streptavidin with different histidine label lengths is designed, and then the streptavidin is coupled with horse radish peroxidase oxidized by sodium periodate, so that high-titer horse radish peroxidase labeled streptavidin can be obtained. The invention also discloses application of the enzyme-labeled conjugate in a magnetic particle platform streptavidin-biotin system, and experimental results prove that the method provided by the invention can be used for stably preparing the enzyme conjugate with high titer and low background, and is widely applied in the streptavidin-biotin system.

The invention discloses an AI-based intelligent local image super-resolution processing method and system, and the method comprises the steps: loading a to-be-processed original image, and determining a target region of the to-be-processed original image; cutting the target area, and outputting an image protruding part; inputting the highlighted part of the image into a pre-trained super-resolution model to obtain a high-resolution local image; and splicing the processed local image and the unprocessed original image, and displaying the spliced image on a preview interface. The technical scheme of the invention aims to improve the efficiency and quality of image processing and output.

The invention discloses an immunofluorescence imaging method for driving tyramine signal amplification based on chemiluminescence and application thereof, and relates to the technical field of biomedical imaging. The immunofluorescence imaging method comprises the following steps: carrying out first incubation on a to-be-detected sample and a peroxidase-labeled antibody; performing second incubation on the to-be-detected sample after the first incubation and a tyramine substrate containing a fluorophore under a dark condition; adding a chemiluminescent substrate solution into the to-be-detected sample after the second incubation, and carrying out image acquisition; wherein the antibody can be specifically bound with a target protein; the tyramine substrate can generate active free radicals under the catalysis of peroxidase, so that the active free radicals are covalently cross-linked with tyrosine residues; the chemiluminescent substrate solution comprises hydrogen peroxide and luminol. The immunofluorescence imaging method improves imaging signal and fluorescence stability, effectively reduces background interference and phototoxicity, is suitable for long-time stable fluorescence immunoimaging, and is especially suitable for high-sensitivity detection of low-expression protein markers.

The present invention relates to the technical field of neutron scattering, and in particular to a hyperbolic single crystal graphite analyzer used in a secondary spectrometer of a neutron spectrometer, which improves the energy resolution and detection efficiency of the neutron spectrometer by optimizing the geometric shape of the analyzer; the analyzer comprises a substrate, and both the horizontal (x) and vertical (y) directions of the substrate are designed into a hyperbolic trapezoidal structure according to a fourth-order polynomial, which determines the overall geometric shape of the analyzer; the present invention effectively solves the problems existing in the prior art through an innovative design of a hyperbolic single crystal graphite analyzer, significantly improves the performance of the neutron spectrometer, and has important value for neutron scattering research and applications in related fields.

The present invention relates to the field of biological detection technology, and specifically to a human fluid fungus detection test paper and a preparation method thereof, wherein the test paper comprises a PVC base plate, a sample pad, a fluorescent pad, a reaction membrane and a water-absorbing pad. Among them, the fluorescent pad is coated with an antibody labeled with fluorescent microspheres; a detection line and a quality control line are provided on the reaction membrane, the detection line is coated with a (1-3)-β-D glucan-bovine serum albumin conjugate, and the quality control line is coated with a sheep anti-mouse IgG secondary antibody. The test strip of the present invention can quickly detect (1-3)-β-D glucan, and has high sensitivity, good accuracy, and strong repeatability and stability.

The invention relates to a gas chromatograph and a chromatographic analysis method for analyzing sulfides in fuel hydrogen, the gas chromatograph comprises an electronic flow controller, a sample injection valve, a flow path selection valve and a plasma emission detector, two branches are arranged between the sample injection valve and the flow path selection valve, the first branch comprises a chromatographic column I, a cutting valve I and a chromatographic column II which are used for separating H2, CH4S and CS2 from sample gas, the second branch comprises a chromatographic column III, a cutting valve II and a chromatographic column IV which are used for separating fuel hydrogen, H2S and COS from the sample gas, and the plasma emission detector is used for quantitatively detecting CH4S, CS2, H2S and COS which are completely separated. Therefore, operation, use and maintenance are simple, only helium is used as carrier gas, and sensitivity is high.

This application discloses a method, device, and medium for training and applying a geoscientific big data feature extraction model, relating to the fields of geoscientific big data processing and artificial intelligence technology. The method includes: cropping geoscientific modal sample data to obtain several candidate cropping samples corresponding to each geoscientific modal sample data; extracting visual token sequences and text token sequences from the candidate cropping samples and text task prompts; calculating cross-modal entropy based on the visual token sequences and text token sequences, and determining the optimal cropping; inputting the geoscientific modal sample data, the optimal cropping, and the text task prompts into a large language model to obtain sample feature extraction results; and training a trained geoscientific big data feature extraction model using a total loss function, where the total loss function includes the cross-modal entropy based on the candidate cropping samples and the sample feature extraction results. This method avoids the occurrence of feature extraction fragmentation or missed detection problems, and also reduces background interference, thus reducing false positives or false negatives.

The invention relates to development and application of a one-step enriched cell surface targeting cross-linking agent. The cross-linking agent is TMTC13NHS-SO3-, and the chemical structural formula of the cross-linking agent is shown as a formula I. The chemical cross-linking agent has the following functional characteristics that in-situ cross-linking capture of protein on the surface of a living cell can be realized, and the chemical cross-linking agent has high biological compatibility, water solubility and cell membrane impermeability due to a bis-succinimide ester-sulfonate reactive active group. The chemical cross-linking agent is applied to the field of proteomics and provides important technical support for analysis of living cell surface protein complexes. # imgabs0 #

The invention discloses a cable number identification system based on machine vision, and the system comprises a line character obtaining module which is used for obtaining a line character image of a cable number; the depth feature map extraction module is used for extracting a depth feature map of the cable number from the line character image; the feature vector module and the linear mapping module are used for inputting the high-dimensional feature vector of the line character image into a full-connection layer, and the full-connection layer performs linear mapping on the high-dimensional feature vector to obtain one-dimensional vector representation of the line character image; the classification module is used for enabling the one-dimensional vector representation of the line character image to pass through a softmax function to generate a classification label of each line character image; and the cable number generation module is used for acquiring the classification labels of all the line character images, and generating cable numbers according to the sequential combination of the characters in the images. According to the method, the significant feature map with higher expressive power is generated through the significance score, and finally the cable number is generated, so that the identification of the cable number is complete.

The application relates to a gold nanoparticle array preparation method with strong stability and reusability, high cysteamine-stabilized gold nanoparticles are prepared first, the spacing between the gold nanoparticles is changed by utilizing the coulomb repulsion between the gold nanoparticles, then the gold nanoparticle solution is added dropwise to a glass surface modified by gamma-glycidoxypropyltrimethoxysilane to react, stable covalent bonds are formed, and gold nanoparticle arrays with uniform distribution on the glass surface can be obtained after the reaction. The preparation does not require high temperature, the experimental operation is simple and convenient, the gold nanoparticles are arranged in order and closely, have high detection sensitivity, have strong ultraviolet absorption capacity, good stability, reusability, salt resistance and low background interference, and can be reused. The gold nanoparticle array can realize detection analysis on high-salt-content samples in surface-assisted laser desorption ionization mass spectrometry and be used for rapid analysis of small molecule compounds in positive and negative ion dual modes.

The invention relates to the technical field of biomedical detection, and discloses a kit for detecting pancreatic cancer based on a fluorescence labeling method and application of the kit, and the kit is composed of eutectic solvent precursor dispersion liquid containing an interface stabilizer and a polycarboxylate regulator. According to the method, the deep eutectic solvent is driven to be separated out from the water phase by utilizing the strong hydration capability of the polycarboxylate regulator, and the microphase enrichment region with low water content is constructed in situ. In the enrichment area, a compact hydrogen bond network limits free movement of water molecules, and a non-radiative transition channel for transferring excited state energy of fluorescent molecules to a hydroxyl vibration energy level of the water molecules is blocked. The unique microenvironment mechanism significantly reduces the fluorescence quenching effect in an aqueous system, greatly improves the quantum yield and detection sensitivity of the fluorescent probe, and effectively solves the technical problem of weak signal in traditional aqueous phase immunodetection.

The invention discloses a low-background iron-based magnetic resonance contrast agent and a synthesis method and application thereof.According to the low-spinning ferrous iron-based contrast agent, a group capable of breaking bonds through a biological orthogonal catalytic reaction is introduced, amine is generated through biological orthogonal catalytic cracking, obtained aniline is unstable, then 1, 6-elimination occurs in molecules, triazole groups are removed, and the contrast agent is prepared. And then the rest part of the plumbing arm is cracked to finally become a high-spinning ferrous contrast agent. The relaxation rate of the contrast agent is improved through conversion of high and low spin states, low-background activation is achieved, the contrast ratio of magnetic resonance imaging signals is improved, and imaging of a focus area is expected to achieve early detection of serious diseases.

The application discloses a kind of for sweat glucose concentration monitoring method, it is related to sweat monitoring field, comprising the following steps: step 1, enzyme-fixed chain conjugate synthesis: glucose dehydrogenase is reacted with bilirubin oxidase respectively with bifunctional crosslinking agent and is purified, obtain enzyme-crosslinking agent intermediate;It is clicked with azide modified DNA fixed chain chemistry reaction again, and after purification, obtain GDH-fixed chain and BOx-fixed chain conjugate;Step 2, preparation of circular DNA template: after annealing hybridization of phosphorylated template chain and primer chain, it is connected into ring by T4 DNA ligase;Step 3, rolling circle amplification self-assembly package enzyme DNA hydrogel;The present application uses super-flexible DNA hydrogel as flexible electrode material, realizes the efficient fixation and continuous stable catalysis of GDH and BOx, and constructs flexible sweat-based EBFC self-powered sensor as flexible bioelectrode, to realize continuous non-invasive blood glucose monitoring.

The invention discloses a novel living cell microtubulin probe and a construction method and application thereof.The probe is composed of EGFP and SPASTIN protein 1-325 amino acid, and the SPASTIN protein 1-325 amino acid is shown as SEQ ID NO.10. By means of a truncated body version, the SPASTIN protein loses the microtubule shearing function, interference to other physiological processes of cells is reduced, and the activity of the SPASTIN protein is improved. The combination with other non-specific structures can be reduced, the positioning accuracy of the probe is improved, the specific region or substructure of the microtube can be more accurately positioned, and the background interference is reduced; the problems of cell function interference, photobleaching, toxicity and the like of existing markers are solved, and a tool is provided for deep understanding of dynamic changes of the microtubules and roles of the microtubules in various biological processes of the microtubules.

The invention discloses fluorescent hydrogel, a kit for detecting biogenic amines in aquatic products and application of the fluorescent hydrogel, and belongs to the technical field of biological detection.The fluorescent hydrogel comprises agar and nitrogen-sulfur co-doped carbon dots coated with manganese dioxide nanoflowers, the fluorescent hydrogel is matched with a DAO solution and an OPD solution to achieve visual detection of biogenic amines in aquatic products, the invention further provides a fluorescent hydrogel kit for detecting the content of target biogenic amines (including histamine, cadaverine and putrescine), the fluorescent hydrogel kit has the advantages of being convenient to carry, rapid in detection and capable of achieving visual analysis, the detection method is sensitive and accurate, and the detection cost is low. The method can be applied to rapid and portable detection of biogenic amines in aquatic products, and is expected to play a role in the field of food quality control.