111 results about "Fluorescent staining" patented technology

The invention provides a method for measuring and calculating the article position of continuous silver ore with the particle size of 0.037 mm or above, and belongs to the technical field of mineral grade detection. The silver grade in the sample is measured and calculated through screening; leaching and measuring the content of silver monomers and continuous silver minerals, and reselecting to obtain a heavy sand product; carrying out fluorescent dyeing on the heavy sand product, and selecting monomer silver minerals; analyzing the color of the silver mineral through point scanning data of a scanning electron microscope, melting the monomer silver mineral to obtain the volume of the monomer silver mineral, and calculating the content of the monomer silver mineral; and carrying out conversion to obtain the continuous silver ore article position with the size of more than 0.037 mm. According to the method, the target mineral is rapidly and accurately obtained by adopting density medium reselection and fluorescent dye tracing; introducing a scanning electron microscope to measure and calculate the actual density of the silver mineral to replace the theoretical density, smelting the silver mineral in a mold, and carrying out volume measurement and calculation to obtain the actual metal amount closer to the actual silver mineral; measuring and calculating errors caused by impurities and irregular shapes of mineral particles are reduced; and the calculated grade of the silver mineral is more accurate.

The invention provides a single bacterium drug sensitivity detection method and system, and relates to the technical field of drug sensitivity detection.The single bacterium drug sensitivity detection method comprises the steps that a cultured to-be-tested strain is subjected to fluorescent staining and then mixed with an antibiotic solution, and a mixed solution is obtained; continuing the strain to be tested in the mixed solution through a structured light illumination microscope to obtain an original imaging sequence; reconstructing and preprocessing each original imaging sequence to obtain a processed imaging sequence, and then cutting out a single bacterium to be tested from each processed image in the processed imaging sequence to obtain a plurality of region-of-interest sequences; and inputting each region-of-interest sequence into a pre-trained evaluation model to obtain a detection result including drug resistance or susceptibility. The method has the beneficial effects that the method focuses on the early change of a subcellular structure before bacterial division, so that the detection time is greatly shortened; imaging acquisition and image processing and cutting are carried out on the single bacterium level, and the survival (drug resistance prompting) state and the non-survival (susceptibility prompting) state of single bacteria can be rapidly distinguished.

The invention discloses a precise liquid treatment system and method based on a multi-channel liquid separation valve and gas replacement, and belongs to the technical field of biomedical detection equipment. The system comprises a multi-channel liquid distribution valve and an intelligent control system, the liquid distribution valve is provided with a plurality of channels which are respectively connected with four groups of coloring agent bottles, sheath liquid bottles, waste liquid bottles and gas bottles; a liquid level detection sensor is arranged between the liquid distribution valve and the peristaltic pump, and an outlet of the peristaltic pump is communicated with the dyeing pool. The method comprises the steps of cancer cell acquisition, fixed permeation treatment, system pre-filling, multiple fluorescent staining and fluorescent imaging. High-precision distribution of micro-liquid is realized through cooperative control of liquid separation valve channel switching and inert gas replacement, and high-precision and high-repeatability distribution of micro-upgrading liquid can be realized; a gas isolation mechanism significantly reduces the risk of cross contamination, multi-channel parallel processing improves the detection efficiency, and the device is suitable for circulating tumor cell multi-staining, flow analysis and other biomedical scenes needing high-precision liquid treatment.

The invention relates to a bronchoalveolar lavage fluid rapid detection method based on a fluorescent staining technology and a corresponding detection device, and aims to improve the detection efficiency of alveolar lavage and sampling screening. The detection device comprises an endoscope assembly, a lavage fluid supply module, a recovery module and a control module. Wherein the recovery module is internally provided with an assembly used for adding a fluorescent coloring agent into the recovery liquid, the fluorescent coloring agent is injected into the recovery liquid in the recovery process of the lavage fluid according to needs, and an electromagnetic drive stirring mechanism is combined, so that dynamic and uniform mixing of the dyeing liquid and the lavage fluid is achieved. The control module automatically adjusts the injection amount, the mixing speed and the stirring duration of the coloring agent according to preset parameters or real-time detection data, and the dyeing reaction time in the operation process is remarkably saved.

The invention discloses application of 4-isopropyltoluene to improvement of depression-like behaviors of mice. An experiment adopts a chronic constraint stress method to construct a depression model, through behavioral detection such as a sucrose preference test, a tail suspension test and a novel inhibition ingestion test, and in combination with molecular biology means such as immunofluorescent staining and Western blot, the anti-depression effect and potential mechanism of 4-isopropyltoluene are systematically evaluated, and the anti-depression effect and potential mechanism of 4-isopropyltoluene are evaluated. Results show that 4-isopropyltoluene plays a significant anti-depression role by inhibiting neuroinflammation, enhancing glial cell support function and activating AKT signal pathway, and has the potential of being developed into a novel anti-depression candidate drug.

The invention discloses a multi-immunofluorescence staining cell target detection method and device based on environmental information fusion. The method comprises the following steps: 1) constructing an image detection framework combined with environmental information fusion; 2) detecting network anchor point adjustment and positioning; 3) accurately positioning a feature map and generating cells in a classified manner; and 4) performing feature accurate positioning target detection based on environmental information guidance. According to the method, target category image target detection based on environment information conversion is realized through a feature vector accurate positioning form based on environment information of a DAPI image.

The invention belongs to the technical field of biology, and discloses a preparation method of an intestinal plexus patch, which comprises the following steps: killing an intestinal tract donor, fixing intestinal tissue segments of duodenum, jejunum, ileum or colon by using paraformaldehyde, and dehydrating to obtain dehydrated intestinal tissue segments; washing the dehydrated intestinal tissue section and removing mesentery, fat and Pari's lymph nodes attached to the jejunum, cutting an intestinal mass of about 4-6mm perpendicular to the intestinal tissue section, flatly laying the intestinal mass on a glass slide, dropwise adding a PBS (Phosphate Buffer Solution) of Triton X-100, fixing the intestinal mass by using a smooth surface of a pair of tweezers, stripping muscle tissues along the annular muscle direction, and drying the intestinal mass in a drying oven. The intestinal slices with intermuscular nerve plexus are obtained; finally, the intestinal piece with the intermuscular nerve plexus is cleaned, then fluorescent staining and piece sealing are conducted, and the mouse intestinal nerve plexus patch is obtained. The preparation method of the mouse intestinal nerve plexus patch has the advantages of being convenient, rapid and the like.

The application provides a method for measuring and calculating the grade of silver minerals above 0.037 mm, and belongs to the technical field of mineral grade detection. The application measures and calculates the silver grade in the sample through screening; measures and calculates the content of silver monomer and silver minerals by leaching, and obtains heavy sand products by gravity separation; the heavy sand products are dyed by fluorescence, and monomer silver minerals are selected; the color of the silver minerals is analyzed by scanning electron microscope point scanning data, and the volume of the monomer silver minerals is obtained by melting, so that the content is calculated; the grade of silver minerals above 0.037 mm is obtained by conversion. The application adopts density medium gravity separation and fluorescent dye tracing to quickly and accurately obtain the target minerals; the actual density of the silver minerals is measured and calculated by introducing a scanning electron microscope instead of the theoretical density, the silver minerals are smelted in a mold, the volume is measured and calculated, and the real metal amount of the silver minerals is obtained, which is closer to the actual value; the calculation error caused by impurities and irregular shape of the mineral particles is reduced; and the calculated grade of the silver minerals is more accurate.

The present invention pertains to a cancer cell identification method and a cancer cell identification system capable of identifying cancer cells via CTC detection by using an unstained image, and simply and highly accurately identifying and classifying cancer cells. The present invention comprises a CGAN 12 that performs image generation learning for generating a fluorescence estimation image 18 obtained by learning, in pairs, a fluorescence-stained image 8, which is obtained by fluorescently staining an inspection cell 2 via antibodies, and an unstained image 16 thereof, and then estimating the fluorescence-stained image 8 from the unstained image 16. The present invention also comprises a CNN 14 that performs image identification learning for receiving input of the unstained image 16 and the fluorescence estimation image 18 corresponding thereto as one set of cell information, performing machine-learning in advance as to whether the unstained image 16 is a cancer cell by using the fluorescence-stained image 8 of the inspection cell 2, and identifying whether the input unstained image 16 is a cancer cell. The CGAN 12 generates the fluorescence estimation image 18 from the unstained image 16, and the CNN 14 identifies whether the unstained image 16 obtained by imaging an inspected cell in blood is a cancer cell from the fluorescence estimation image 18 on the basis of the image identification learning, and then classifies the cell.

The invention discloses a method and device for identifying helicobacter pylori based on artificial intelligence fluorescence imaging, and relates to the technical field of artificial intelligence medical detection. Comprising the following steps: S1, carrying out slide preparation treatment on a cytological sample or a tissue slice sample, and processing the slide preparation through an immunofluorescent staining reagent to obtain a helicobacter pylori fluorescent staining picture; s2, outputting and obtaining a helicobacter pylori picture with a rectangular frame identifier through a helicobacter pylori identifier neural network model; and S3, according to the coordinate information of the rectangular frame, obtaining the coordinate information of the helicobacter pylori in the fluorescent staining picture, and splicing the helicobacter pylori pictures to obtain a spliced picture. According to the method, the helicobacter pylori is marked automatically through the helicobacter pylori identification neural network model, the problems of subjectivity and time consumption of traditional manual microscopic examination are avoided, meanwhile, the positions of thalli are accurately marked, positive probability data are output, and then the detection efficiency is improved.

The invention provides application of a rice OsABI3 gene in reduction of rice cadmium accumulation, and relates to the technical field of gene engineering. The nucleotide sequence of the gene is shown as SEQ ID NO.1. The application comprises the following steps: directionally editing the OsABI3 gene by using a CRISPR / Cas9 technology, constructing a recombinant vector, transforming the recombinant vector into a rice callus by using an agrobacterium-mediated method, and screening to obtain a mutant plant. The rice OsABI3 gene is cloned and analyzed for the first time, the nucleotide sequence of the gene is disclosed, a new perspective is provided for illuminating an unknown molecular mechanism of rice for regulating and controlling Cd transportation, and the invention also proves that the OsABI3 gene has the capability of regulating and controlling Cd accumulation of rice; and tissue anatomy and fluorescent staining experiments prove that the OsABI3 has the capability of limiting radial transportation of Cd ions in a root system.

The present application relates to the field of plant biotechnology, and particularly relates to a fluorescence staining method for pollen germination of Dendrobium nobile Lindl, which comprises five steps: collecting Dendrobium nobile Lindl flowers with a stigma, removing extra parts such as sepals and only keeping the stigma, trimming the two sides of the stigma into a horizontal shape, placing it into a pre-cooled fixing solution for fixation, and then dehydrating it with gradient alcohol; cutting the dehydrated stigma along the middle line of the stigma with a scalpel; placing the cut sample into a softener for treatment to soften the tissue; transferring the transparent sample into a staining solution containing fluorescent dye for staining in dark conditions; after the completion of staining, taking out the sample, fixing it on a glass slide, covering it with a cover glass, and observing the pollen germination of the Dendrobium nobile Lindl stigma under a fluorescence microscope. The method can clearly and accurately observe the pollen germination of the Dendrobium nobile Lindl stigma, and provides strong technical support for the related research of Dendrobium nobile Lindl and other plant materials with large stigmas.

1. The name of the design product: full-automatic microscopic image scanning analyzer. 2. The use of the design product: for observing the fluorescence of samples such as cells and cell tissues dyed with fluorescent dye, obtaining images, and performing image analysis. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a mitochondrial targeting pyridinium cyanine photosensitizer compound, a preparation method, a compound and application thereof, and the pyridinium cyanine photosensitizer compound is generated through organic reaction by taking N-methyl-N-hydroxyethyl naphthylamine as an electron donor, pyridinium cyanine as an electron acceptor and double bonds as pi bridge connection. After the pyridycyanine photosensitizer compound is self-assembled and combined with HSA, specific fluorescent staining of mitochondria is achieved, active oxygen is efficiently generated under white light irradiation and directly acts on the mitochondria, and the cancer cell killing efficiency is improved. The preparation method is simple and efficient, and the prepared photosensitizer compound has a good photodynamic therapy effect and biological safety and has a good application prospect.

The invention relates to the technical field of animal blood cell detection and analysis, in particular to a method for an animal blood cell analyzer to recognize platelet aggregation, which comprises the following steps: after the animal blood cell analyzer performs pretreatment and fluorescent staining on a blood sample in a white blood cell DIFF channel, acquiring three signals of blood cells through laser flow cytometry; two scatter diagrams are drawn according to the three signals, platelet aggregation particles are identified in a certain area range in the two scatter diagrams, when the number exceeds a threshold value, an alarm is given, and normal leukocytes cannot fall in the area. The good alarm function of the instrument provides more accurate prompts for clinical diagnosis, and clinical appropriate microscopic examination of platelets is facilitated. The cost is saved, extra testing is not needed, and the alarm function can be achieved in the leukocyte DIFF channel in the blood routine testing mode. The platelet aggregation region is identified, the influence of platelet aggregation on the total number of leukocytes is eliminated, and the leukocyte value is more accurate.

The invention belongs to the technical field of environmental analysis instruments and intelligent detection, and discloses a water sample micro-plastic detection device based on fluorescent staining and an AI algorithm, an integrated micro-fluidic chip is adopted to replace a traditional pretreatment process, and online digestion and fluorescence labeling of a water sample are automatically completed through a sequential injection analysis flow path; the configured high-sensitivity fluorescence imaging module can capture feature images of the micro-plastics; a built-in lightweight multi-scale feature fusion network model can identify and count micro-plastic targets, output quantity, particle size distribution and morphological parameters in real time. According to the invention, full-process automation from sample input to result output is realized, the problems of tedious pretreatment, high manual dependency and difficulty in on-site rapid quantification in the prior art are solved, and an efficient technical means is provided for water environment micro-plastic pollution monitoring.

The application discloses a method for constructing a cell membrane fusion model induced by a novel coronavirus-like particle, and belongs to the technical field of biology. The method comprises the following steps: constructing a virus-like particle containing a SARS-CoV-2 spike protein gene and an RNA packaging sequence PS9, using HEK-293T cells as packaging cells, co-expressing structural proteins M, E, N and S protein, and realizing assembly of VLPs without replication ability. Subsequently, the VLPs are used to infect immortalized type II alveolar epithelial cells, S protein expression is induced and cell-cell membrane fusion is mediated without the need of BSL-3 laboratory conditions. The formation of fused giant cells can be directly observed through ZO-1 protein immunofluorescence staining, the model is stable, has high biological safety, and is repeatable in vitro. The application overcomes the safety risk of live virus infection and the authenticity problem of a transient transfection model, can be used for research on a SARS-CoV-2 virus membrane fusion mechanism, and has a good application prospect.

The invention belongs to the technical field of fiber materials, and particularly relates to a sequential bidirectional drainage-cooling integrated material with a sandwich structure as well as a preparation method and application of the sequential bidirectional drainage-cooling integrated material. The material is composed of an upper hydrophobic antibacterial drainage layer capable of guiding liquid in one direction, a middle hydrophilic cooling layer and a lower hydrophobic antibacterial drainage layer capable of guiding liquid in one direction. According to the invention, the sequential bidirectional liquid guiding-cooling integrated material with a sandwich structure is successfully prepared through an electrohydrodynamic atomization technology; the liquid guiding performance of the upper hydrophobic antibacterial drainage layer and the lower hydrophobic antibacterial drainage layer is clearly observed by means of fluorescent dyeing in combination with a static contact angle measuring instrument. The material disclosed by the invention not only can guide away liquid between finger seams, chelidonium and abdominal folds, but also shows an obvious cooling effect, and the skin temperature can be reduced by 6.7 DEG C to the minimum extent. Meanwhile, vertical guide and separation of wound exudate are achieved, the excessive edema symptom of wound tissue is effectively relieved, and wound healing is achieved through antibiosis, anti-inflammation, vascularization promotion and collagen deposition promotion.

The invention relates to the field of microbiological detection, and discloses a sample culture-free efficient identification kit and a detection process, the sample culture-free efficient identification kit comprises a staining reagent, a scattering calibration and inhibition reagent, a quality control reagent and consumables, the staining reagent is a multi-target fluorescent chromosome system, and the scattering calibration and inhibition reagent is a scattering calibration and inhibition reagent. The scattering calibration and inhibition reagent is used for double-scattering signal calibration and scattering noise inhibition, the quality control reagent is used for validity verification of a detection result, and the consumable is used for adaptive imaging detection. Through cooperative adaptation of a staining reagent, a scattering calibration and inhibition reagent, a quality control reagent and consumables, microorganism multi-target specific marking can be realized by means of a multi-target fluorescent chromosome system without depending on microorganism culture, and scattering signal interference is eliminated by combining the scattering calibration and inhibition reagent so as to guarantee the accuracy of detection signals. The validity of a detection result is verified through a quality control reagent, so that rapid identification and characterization of microorganisms in a complex sample matrix are realized.

The invention relates to the field of biotechnology and dead / living cell detection, in particular to a method for rapidly determining the activity of biological membrane cells in immobilized fermentation. According to the method, a methylene blue and trisodium citrate synergistic chromosome system is optimized, a biofilm EPS matrix is synergistically penetrated by virtue of the dispersion effect of trisodium citrate and the reduction characteristic of methylene blue, and a spectrophotometric method is combined to detect the OD value of a staining solution instead of stained cells, so that the efficient quantitative analysis of the ratio of dead cells to living cells of the immobilized biofilm is realized. The method can complete detection within 200 s, is simple and convenient to operate and low in cost, does not need complex equipment, and is remarkably superior to a traditional fluorescent staining method.

The invention discloses a device for observing migration of micro-nano iron particles in a porous medium, and belongs to the field of groundwater pollution remediation. The device comprises a liquid storage tank, a microfluidic system, an optical monitoring system, a receiving tank and a detection system. The liquid storage tank is used for storing a to-be-detected micro-nano iron particle material and carrying out fluorescent dyeing. The micro-fluidic system comprises an injection pump, a flow meter and a micro-fluidic chip, the micro-fluidic chip is made of a polydimethylsiloxane (PDMS) material and comprises a plurality of direct flow channels with liquid inlets and liquid outlets, and bionic porous network structures are designed in the channels. The optical monitoring system integrates an inverted fluorescence microscope and an sCMOS camera and controls monitoring records through computer software, and the receiving pool is used for collecting the nano-iron particle material flowing out of the micro-fluidic chip. The detection system is used for quantitatively testing and analyzing the content of the micro-nano iron in the receiving tank. The device can simply, quickly and accurately monitor the migration process of the micro-nano iron particles under different pore conditions.

The application discloses a fluorescent dye tracer method for tracking hydraulic fracturing cracks and application, and the method comprises the following steps: S1, configuring a fluorescent dye solution: using a water-soluble fluorescent dye rhodamine B to prepare a mass-volume ratio aqueous solution with a concentration of 0.01% to 0.05%; S2, pre-treating and cleaning the cracks of a sample: using a hydrochloric acid solution with a concentration of 1% to 3% to acid-wash the cracks of the sample, and then rinsing the sample with clean water; S3, pre-saturating the crack channel: pre-saturating the crack network of the sample; S4, injecting the fluorescent dye solution under low pressure pulse, so that the crack channel is filled with the fluorescent dye solution; S5, soaking and permeating: after the crack channel is filled with the fluorescent dye solution, stopping the injection and placing the sample, and soaking the sample to make the fluorescent dye solution penetrate into fine cracks and pores; S6, observing the dyeing: after the surface of the sample is dried, cutting the sample along the main crack direction to observe the internal crack direction, and performing quantitative analysis by using image processing software.

The invention relates to a blood cell analyzer and a blood cell analysis method. Sucking a to-be-detected blood sample; mixing a part of the blood sample to be detected, a hemolytic agent and a first fluorescent staining agent to prepare a first measurement sample, and detecting first optical information of particles in the first measurement sample; mixing the other part of the blood sample to be measured, the diluent and a second fluorescent staining agent to prepare a second measurement sample, and detecting second optical information of particles in the second measurement sample; acquiring first leukocyte classification information based on the first optical information; when it is judged that classification abnormity exists in the first leukocyte classification scatter diagram, second leukocyte classification information is obtained based on the second optical information, and the second leukocyte classification information is used for correcting the first leukocyte classification information. According to the invention, an accurate leukocyte classification result can be obtained.

The invention relates to an ADTKD-UMOD auxiliary diagnosis system based on deep learning, belongs to the technical field of auxiliary diagnosis, and solves the problem of lack of ADTKD-UMOD auxiliary diagnosis in the prior art. The system comprises a data acquisition module for collecting a staining image and a multi-channel fluorescent staining image of a renal tubule pathological section; the contour sketching module is used for obtaining a marrow loop rising branch thick section renal tubule contour in a staining image based on the multi-channel fluorescent staining image of the renal tubule pathological section of each individual; the training sample construction module is used for constructing a training sample set on the basis of the dyed image delineated with the outline; the model training module is used for constructing a deep learning network model and carrying out semi-supervised training on the deep learning network model based on the training sample set to obtain a prediction model; and the prediction module inputs the renal tubule profile diagram in the dyed image of the individual to be predicted into the prediction model to obtain a prediction result. And the rapid ADTKD-UMOD prediction is realized.

This invention discloses a monoclonal antibody against Oit3 protein in mouse hepatic sinusoidal endothelial cells or its antigen-binding fragment and its applications, belonging to the fields of biotechnology and medical immunology. The monoclonal antibody or its antigen-binding fragment comprises a heavy chain variable region and a light chain variable region. The heavy chain variable region contains HCDR1, HCDR2, and HCDR3 with amino acid sequences as shown in SEQ ID NO. 3~SEQ ID NO. 5; the light chain variable region contains LCDR1, LCDR2, and LCDR3 with amino acid sequences as shown in SEQ ID NO. 8~SEQ ID NO. 10. This monoclonal antibody and the recombinant fluorescent antibody exhibit high affinity and high specificity, and can be effectively applied to enzyme-linked immunosorbent assay (ELISA), Western blotting, and immunofluorescence detection. They can serve as important antibody tools for basic research on mouse hepatic sinusoidal endothelial cells and for exploring the mechanisms of liver diseases. Based on its variable region sequence, a recombinant fluorescent antibody, Oit3-scFv-GFP, was also constructed. This recombinant fluorescent antibody enables one-step direct immunofluorescence staining, providing a convenient tool for in situ visualization of mouse hepatic sinusoidal endothelial cells.

This invention discloses a method for detecting Candida albicans based on compound fluorescent staining and deep learning, belonging to the field of microbial detection technology. The method first synthesizes a novel NHC-triazolium salt fluorescent molecule, which is then compounded with calcium fluorescent white and DAPI to form a specific staining solution. After treating the sample with this staining solution, multi-channel fluorescence imaging is performed and images are acquired. Simultaneously, ITS sequencing is performed on the samples. Based on the sequencing results, the images are classified and bacterial cells are manually cropped to construct a labeled dataset. A convolutional neural network model is trained using this dataset to learn to recognize the unique "multi-fluorescent fingerprint" presented by Candida albicans stained with the compound staining solution. In application, the same staining and imaging are performed on the test samples, and the trained model automatically analyzes the images to achieve detection. This invention significantly improves the specificity of detection through the synergy of chemical staining and artificial intelligence. Experiments show that compared with traditional single staining or unstained methods, this method improves the specificity of Candida albicans recognition by 37% and 52%, respectively, and has the advantages of being fast, accurate, and highly automated.

This disclosure provides an image detection method, apparatus, electronic device, and storage medium. The image detection method includes: acquiring a multiplex immunofluorescence image to be tested, wherein the multiplex immunofluorescence image is imaging data after multiplex immunofluorescence staining of a tissue sample to be tested; performing tissue segmentation based on the multiplex immunofluorescence image to obtain a tissue region image; and performing image sharpness detection on the tissue region image to obtain a detection result. The image detection method provided by this application can effectively eliminate background noise interference in multiplex immunofluorescence images caused by staining at different locations in the image, greatly reducing the proportion of background in the input image for subsequent image detection, and improving the accuracy and reliability of the image detection results.

The invention provides a composition and a kit for oral squamous cell carcinoma typing and application of the composition and the kit, and particularly discloses the composition which comprises a fluorescent staining marker for CBX3 protein and a fluorescent staining marker for IL1RN protein. The invention also discloses a kit containing the composition. The kit and the composition can be used for oral squamous cell carcinoma typing, and prognosis and treatment sensitivity of a patient can be predicted according to a typing structure. The composition and the kit provided by the invention adopt a small amount of genes as classification and prediction indexes, so that the detection cost and the experiment complexity are greatly reduced. Through the established extremely simple classification rule, the expression quantity ratio of CBX3 to IL1RN only needs to be detected through the immunofluorescence technology, sample typing can be rapidly completed according to the condition that CBX3: IL1RN is larger than 1 or smaller than 1, complex biological information analysis is not needed, the detection process is visual and efficient, and the clinical diagnosis efficiency and accuracy can be effectively improved.

The invention relates to the technical field of immunofluorescence detection, and particularly discloses a multiple immunofluorescence staining kit based on a multi-antibody stable premix solution as well as a preparation method and application of the multiple immunofluorescence staining kit. The kit comprises: a multi-antibody stable premix solution containing four fluorescence labeled antibodies targeting different antigens, each antibody being respectively coupled with a fluorescent dye of which the wavelength does not interfere with each other, and mixing the antibodies in a unified buffer system according to a preset proportion; the stable buffer system contains a phosphate buffer solution with the pH value of 7.2-7.6, trehalose, glycerol, bovine serum albumin and a nonionic surfactant; the antibody pretreatment unit comprises an antibody buffer replacement solution, a cross adsorbent and an Fc segment blocking antigen; and the sealing subpackaging pipe is used for low-temperature freeze-drying or liquid nitrogen cryopreservation. The kit can realize one-step co-staining of multi-target tissue slices, reduces operation steps, improves staining stability and signal specificity, and is suitable for pathological diagnosis, immune microenvironment analysis and biomedical research.

Provided are a method for reducing background fluorescence when detecting microorganisms on a membrane filter to which culture medium components are attached by fluorescent staining, and a method for detecting microorganisms using said method. [Solution] A method for reducing background fluorescence when detecting microorganisms on a membrane filter to which culture medium components are attached by fluorescent staining, wherein the fluorescent staining is performed by contacting the membrane filter with a solution containing a fluorescent reagent and having a pH of 5.0 or less; and a method for detecting microorganisms in a liquid, wherein the liquid is filtered through a membrane filter, the membrane filter is attached to the surface of a plate culture medium, cultured for a predetermined period of time, and the membrane filter, which has been peeled off from the plate culture medium, is contacted with a solution containing a fluorescent reagent and having a pH of 5.0 or less, thereby fluorescently staining the microorganisms on the membrane filter.