12 results about "Fluorescence staining" patented technology

This invention relates to a method for rapidly screening filamentous fungi that produce high levels of triglycerides and polyunsaturated fatty acids, belonging to the field of microbial technology. The method employs a two-stage screening strategy of "resistance primary screening – fluorescence secondary screening." In the primary screening stage, strains with strong lipid synthesis capabilities are initially screened by adding a combination of phytocyanin and quizalofop-p-ethyl inhibitors to the culture medium. In the secondary screening stage, cellophane culture technology and Nile red fluorescence staining are combined to quantitatively assess the triglyceride content of the colonies, achieving rapid and non-destructive screening. This method is simple to operate, highly efficient, and shows a significant positive correlation between fluorescence intensity and triglyceride content. It is suitable for mutagenesis breeding and industrial strain selection of oil-producing filamentous fungi such as *Morchella alpineensis*.

The utility model belongs to the technical field of immunofluorescent staining, and particularly relates to an immunofluorescent staining tool kit which comprises a base, the cleaning module is detachably mounted on the base, and the cleaning module is used for cleaning the used cover glass; the dyeing module is detachably mounted on the cleaning module, and the dyeing module is used for dyeing the cover glass; and the cover plate is detachably mounted on the dyeing module. The utility model is convenient to use and can ensure the dyeing effect. The evaporation of the reagent in the long-time incubation process can be reduced, so that the dyeing effect is more stable. In addition, independent dyeing during simultaneous incubation and transfer of a plurality of cover glass can be guaranteed, and mutual confusion can be avoided. The cleaning module can simultaneously meet different requirements of rapid cleaning and long-time cleaning of the cover glass, reagent adding can be completed at a time, and the cumbersome step of replacing reagents for multiple times is omitted. Meanwhile, due to the detachable design, all the components can be cleaned and dried more easily, and the cover glass can be taken and placed conveniently, and cleaning liquid can be replaced conveniently.

The invention belongs to the technical field of biomedical detection, and discloses a blood cell analysis system based on image flow cytometry, which comprises a cell staining module, the dyeing module simultaneously comprises a first fluorescent probe capable of being specifically combined with components in a cell nucleus or enriched in the cell nucleus, a second fluorescent probe capable of being specifically combined with cell nucleus DNA and a third fluorescent probe capable of being specifically combined with a blood cell differentiation antigen; an image flow cytometer; and the image processing module is used for calculating the kernel detection rate and / or the average kernel number. According to the present invention, the combination of the specific types of the cell staining dyes is adopted, the image flow cytometry is matched, and the optimized multi-dimensional fluorescence staining combination and the matched automatic image analysis process are adopted to achieve the synchronous, high-throughput and accurate quantitative analysis of the blood cell immune phenotype and the cell morphology key characteristics at the single cell level;

The invention is applicable to the technical field of biological detection, and provides a specific antibody and application thereof in detection and enrichment of oocysts of cryptosporidium. According to the method, an immunomagnetic separation detection system is constructed by taking oocyst outer wall protein (cgd6660) as a target: an antibody capable of being specifically combined with the protein is subjected to purification and biotinylation and then is coupled to the surface of a streptavidin magnetic bead, so that efficient and specific capture of the oocyst is realized. The system is efficient and specific in combination with oocysts of cryptosporidium, interference of impurities such as algae and bacteria can be effectively avoided, and the system has good applicability and stability in complex water quality samples with high turbidity, high organic matter and the like. The method is high in process standardization degree and short in operation time, and the autonomously prepared local antibody greatly reduces import dependence and detection cost; by combining fluorescent staining and microscopic confirmation, sensitive and accurate detection of oocysts can be realized, the method is suitable for scenes such as drinking water source monitoring and the like, and stable and reliable technical support is provided for water safety and cryptosporidiosis prevention and control.

The present application relates to a kind of ADTKD-UMOD based on deep learning auxiliary diagnosis system, belong to auxiliary diagnosis technical field, solve the problem that prior art lacks ADTKD-UMOD auxiliary diagnosis.System includes: data acquisition module, collects the staining image of renal tubular pathological section and multi-channel fluorescence staining image;Contour drawing module, based on the multi-channel fluorescence staining image of each individual renal tubular pathological section obtains the medullary loop ascending branch thick segment renal tubular contour in staining image;Training sample construction module, based on the staining graph that has outlined contour, constructs training sample set;Model training module, constructs deep learning network model, based on training sample set, carries out semi-supervised training to deep learning network model and obtains prediction model;Prediction module, the renal tubular contour map in the staining image of individual to be predicted is inputed into prediction model and obtains prediction result.Quick ADTKD-UMOD prediction is realized.

The invention relates to the technical field of immunofluorescent staining, in particular to an adipose tissue whole-tissue immunofluorescent staining method based on tabletting treatment. According to the method, tissue acquisition and fixation, tissue tabletting, membrane rupture and sealing, degreasing and autofluorescence removal, fluorescent staining, sheet sealing and imaging are sequentially carried out. According to the invention, a complete tabletting-degreasing-fluorescent staining integrated process is established, a set of systematic process which is standardized, high in repeatability and adaptive to conventional experimental conditions is provided, and tabletting whole tissue staining is realized in adipose tissues for the first time. The core of the invention lies in that the thickness of the tissue is reduced by a tabletting treatment means, and a set of optimized antibody permeation, sealing, degreasing and anti-autofluorescence treatment flow is matched, so that the immunofluorescent staining of the adipose tissue is effectively realized on the premise of not depending on complex tissue transparency and special imaging equipment, and the immunofluorescent staining effect is greatly improved. The method is especially suitable for detecting deep or low-abundance targets such as nerve markers.

The application belongs to the field of neurology and provides a method for detecting neuron death by coupling fluorescence and electron microscopy, comprising the following steps: step one, using Pulsineli's four-vessel occlusion method to make a rat transient global ischemia model, and sampling and processing the model animal to ensure the stability of the sample during the experiment; step two, performing monochromatic fluorescence staining on the sample obtained in step one, then converting the Rhodamine R6 fluorescent label in the slice into 3,3'-diaminobenzidine precipitation, and making the slice into an electron microscopy sample, and determining the experimental results. The application first applies Rhodamine R6 to the field of ultra-morphological detection of neuron death, converts the fluorescent signal of Rhodamine R6 into diaminobenzidine precipitation, thereby realizing the coupling of fluorescence and electron microscopy, and observing the ultra-localization of the positive substance in the dead cells by using an electron microscope.

The invention relates to cell biology and regenerative medicine, specifically to a culture method and application for porcine limbal epithelial stem cells. The method involves pretreatment of cells, coating of culture dishes, centrifugation, culturing, passaging, and identification by immunofluorescence staining. The cultured cells are applicable in repairing corneal diseases, including limbal stem cell deficiency. During repair, the cells can be combined with biological materials to form a stem cell engineering carrier for implantation at the injury site. The separation and culture method is simple, yields a large number of cells, and is suitable for use with porcine eyeballs. Limbal epithelial stem cells cultured in vitro form distinct cell clusters, referred to as stem cell islands. The obtained cells exhibit phenotypes including BMI1+, ΔNp63α+, CK14+, and ABCG2+. Based on experimental and clinical research, this method provides a promising approach for cell transplantation in ocular surface reconstruction.

The application discloses a rapid iteration type TSA multiple immunofluorescence staining kit, relates to the technical field of multiple immunofluorescence staining, and comprises an operation table, an elution tank is installed on the outer wall of the operation table, a shaking-off clamp is installed on the inner wall left side of the elution tank, the shaking-off clamp is connected with the elution tank through a rotating shaft one, a dropwise adding device is installed on the outer wall rear side of the elution tank, the dropwise adding device is connected with the operation table through a moving assembly, a liquid storage tank one is installed on the inner wall rear side of the operation table, a pressure pump one is installed on the outer wall upper side of the liquid storage tank one, and the dropwise adding device is connected with the pressure pump one through a connecting pipe. Through the installation of the shaking-off clamp, the dropwise adding device, the moving assembly and the rotating shaft two, the function of precise dropwise adding of eluent is realized, the problems of fixed eluent dropwise adding parameters, slice tissue damage, uneven eluent coverage and cross contamination are solved, fragile samples can be protected, and the consistency of elution effect is improved.

This invention discloses the pear transcription factor PbrMYB24 and its application in promoting lignin and cellulose synthesis in pear stone cells. The PbrMYB24 gene, isolated from 'Dangshan Crisp Pear', has the nucleotide sequence shown in SEQ ID No. 1. Transient overexpression in pear fruit confirmed that PbrMYB24 can promote the accumulation of lignin and cellulose in fruit stone cells. In transgenic pear pulp callus tissue and Arabidopsis inflorescence stems overexpressing PbrMYB24, lignin and cellulose contents were significantly increased, and the signals of phloroglucinol hydrochloride staining, Fast Green staining, and Karl von Willebrand fluorescence staining were significantly enhanced at the same time. This demonstrates that the PbrMYB24 gene participates in regulating the formation of lignin and cellulose in pear fruit stone cells.

The application relates to the technical field of deep learning, and discloses a liver cancer immunotherapy effect prediction method and system.The method comprises the following steps: performing multiple immunofluorescence staining pretreatment on a clinical sample, collecting forward scattering data, side scattering data and multi-channel fluorescence data of single nucleus cells, obtaining a cell expression initial data matrix, performing standardization processing to obtain a multi-dimensional feature matrix of immune factor expression, performing Bayesian network analysis to calculate the conditional probability relationship and mutual information value between immune cell factors, constructing an immune factor correlation network, performing abnormality detection to obtain immune factor expression abnormality detection results, performing minimum tail boundary analysis on the immune factor expression abnormality detection results, solving an optimal risk boundary through a semi-definite programming model, and outputting immune factor abnormality quantitative evaluation data, so that quantitative risk evaluation of a prediction result and fine classification of the prediction result are realized.