6 results about "Membrane staining" patented technology

The invention relates to the technical field of immunohistochemical staining image quantitative analysis, in particular to an immunohistochemical staining image quantitative analysis method and system, and the method comprises the following steps: S1, obtaining a digital image of an immunohistochemical staining section; and S2, carrying out color deconvolution processing on the digital image, and decomposing the digital image into an exclusive channel image corresponding to at least one target coloring agent and a background channel image. According to the method, color deconvolution is realized through a non-negative matrix factorization algorithm, target coloring agent signals and background and other dyeing signals in the composite dyeing image are accurately split, and the problem that dyeing components of an existing system are not thoroughly separated is solved; through combination of a Mask R-CNN deep learning network and multi-mode adaptive parameters, positive and negative cells in different dyeing modes can be accurately identified, and multiple scenes such as nuclear dyeing, membrane dyeing and slurry dyeing can be adapted.

The application relates to the technical field of bioengineering, in particular to a preparation method of a pre-dyed fluorescent protein Marker, which comprises the following steps: preparing a subunit mixture: 1 mg of luminescent protein precipitate is placed in a centrifuge tube, high-speed centrifugation is carried out at 4 DEG C for 5 min, supernatant and precipitate are obtained, the supernatant is completely sucked away by using a pipette gun, and only the precipitate part is reserved. The fluorescent protein Marker is a naturally extracted fluorescent protein, the molecular weight of the fluorescent protein is 20-300 kDa, the fluorescent protein is covalently coupled with protein A and protein G which can be combined with an antibody IgG and an antibody Fc region protein or peptide which can be combined with a secondary antibody, due to the color of the fluorescent protein, the purpose that the protein is pre-dyed protein and fluorescent protein is achieved, transfer film staining or X-ray film imaging is not needed, electrophoresis is simpler, due to the very strong fluorescent signal, even if a trace amount of protein, electrophoresis detection can be realized, and an ideal electrophoresis map is obtained.

The invention discloses application of cinnamic acid in preparation of a klebsiella pneumoniae capsular inhibitor and belongs to the technical field of biological medicine, the CAS login number of the cinnamic acid is 140-10-3, the molecular formula of the cinnamic acid is C9H8O2, the molecular weight of the cinnamic acid is 148.16, and the cinnamic acid has an inhibiting effect on klebsiella pneumoniae capsular synthesis. The invention solves the problem that the application of cinnamic acid in preparation of klebsiella pneumoniae capsule inhibitors is not researched and reported at present. Through uronic acid determination, Anthony's capsular staining, a growth curve test, cytotoxicity, a klebsiella pneumonia infection greater wax moth protection test and other analysis, it is proved that cinnamic acid can reduce the pathogenicity of klebsiella pneumonia by inhibiting capsular synthesis, and then the effective anti-infection effect is achieved; a novel treatment means is provided for clinical drug-resistant klebsiella pneumoniae infection, and a lead compound with definite functions is provided for subsequent research.

The invention discloses a microscope image analysis method and device based on immunohistochemistry and a medium, belongs to the technical field of medical image analysis, and aims to solve the problems that manual interpretation burden of microscope images under existing immunohistochemistry detection is heavy, the problems of man-made subjectivity and consistency are prominent, the stability is easily influenced by illumination and dyeing differences, and the detection efficiency is low. And the intelligent picture analysis cost is high. The method comprises the following steps: carrying out standardization processing on an original collection image collected by a microscope in real-time visual field to obtain a standardized collection image; pixel segmentation and recording under a cell level are carried out on the standardized collected image; carrying out intensity grade discrimination processing of related nuclear staining markers on the cell-level pixel information to generate a cell-level structured quantification result; performing membrane-related phenotype prediction calculation under a related membrane staining marker on the cell-level pixel information to obtain a cell-level prediction result; and carrying out integration processing on the cell-level structured quantification result and the cell-level prediction result to obtain a cell-level analysis result.

This invention discloses a class of environmentally sensitive MrgX2 fluorescent probes, their preparation methods, and applications, belonging to the field of biomedical and chemical probe technology. Using a small molecule compound with MrgX2 receptor antagonistic activity as a recognition backbone, a long-chain polyethylene glycol linker is introduced by recognizing the active O or N sites on the aromatic ring substituents in the backbone molecule, and then covalently coupled to a Nile Red fluorescent chromophore to obtain the environmentally sensitive MrgX2 fluorescent probe. Compared with existing probes, the fluorescence emission of this probe is located in the red light region, which can reduce the interference of autofluorescence in biological samples and improve the detection signal-to-noise ratio. Simultaneously, the long-chain polyethylene glycol linker improves the probe's hydrophilicity and dispersibility, reducing non-specific membrane staining and background adsorption, which is beneficial for achieving stable and specific fluorescent labeling of the MrgX2 receptor on the cell membrane surface, making it suitable for fluorescent labeling and visualization analysis of the MrgX2 receptor in cell models.

The application provides a breast cancer HER2 scoring model training method and application based on membrane staining gradient characteristics, and comprises the following steps: performing pixel-level HER2 scoring grade labeling on a breast cancer section image to obtain a training image, and constructing a training data set based on multiple training images; constructing a breast cancer HER2 scoring model comprising an encoder, a membrane staining gradient module and a main segmentation head; and training the breast cancer HER2 scoring model with the training data set to obtain a trained breast cancer HER2 scoring model. According to the scheme, gradient responses in different directions are extracted, gradient amplitude features are generated through orientation dimension maximum pooling, the gradient intensity of the staining direction of each pixel is accurately quantified, the recognition degree of the staining signal of the positive cell membrane boundary is strengthened, and the distinguishing accuracy of the critical HER2 scoring grade is improved.