19 results about "Specific staining" patented technology

This invention proposes a sperm staining kit based on a sequential staining strategy of tail pre-staining – rapid differentiation – enhanced nuclear staining. A gentle fixation with 4% paraformaldehyde and acetate buffer preserves the complete nucleic acid of the sperm head and the protein structure of the tail. The addition of PVP K30 and Tween-20 effectively inhibits non-specific adsorption and reduces staining background interference. Brilliant Green SF combined with sodium tartrate is used for specific staining of the sperm tail, followed by rapid differentiation to wash away non-specific staining. Nuclear staining is performed using toluidine blue O combined with sodium chloride and sodium tetraborate hydrate, specifically binding to DNA and enhancing color development stability, resulting in a blue sperm head and a light green tail with clear color contrast. This invention produces a clean staining background, accurately distinguishing the morphology of the sperm head, acrosome, and tail, significantly improving the accuracy of microscopic identification of abnormal sperm such as large-headed, small-headed, curled-tailed, broken-tailed, and short-tailed sperm. It is suitable for detecting sperm morphology and abnormality rates in breeding males.

The application provides a prognosis risk stratification prediction method for lymph node tumor residue, and belongs to the technical field of risk prediction, and comprises the following steps: acquiring lymph node HE staining sections and immunohistochemical labeling sections, automatically identifying a tumor region of interest by using a U-Net++ network, removing background noise and non-specific staining interference based on a self-adaptive threshold segmentation algorithm, extracting information in four dimensions, and forming a standardized extracted information set; fusing and mapping the extracted information set into a 256-dimensional feature vector set, inputting each vector into a dynamic integrated prediction model, and outputting stratified differential expression of each vector and stratified comprehensive expression of the vector set; determining a risk level based on quantitative threshold values of the stratified differential expression and comparative analysis of risk probabilities of the stratified comprehensive expression, and constructing a multi-dimensional dynamic weight decision model in combination with patient self-state indexes to formulate a personalized scheme. Through multi-modal feature extraction, dynamic integrated modeling and personalized decision-making, precise risk stratification and treatment scheme customization are realized.

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.

The invention relates to the technical field of dyeing characterization of surface functional layers of composite materials, in particular to a hydrophilic functional layer specific coloring agent and a preparation method and application thereof, and the hydrophilic functional layer specific coloring agent is composed of 0.01%-0.5% by mass of xanthene fluorescent dye, 0.1%-5% by mass of hydrophilic polymer additive and the balance of water. Wherein the xanthene fluorescent dye is 9-(2-carboxyl phenyl)-3, 6-bis (diethylamino) xanthyleione chloride, and the structural formula of the xanthene fluorescent dye is shown in the description. After a hydrophilic film is dyed by the specific dyeing agent for the hydrophilic functional layer, an extremely high color contrast can be presented between the hydrophilic functional layer and a base material layer, and the background is clean and clear. For the defects such as uneven coating, microcracks and pinholes which cannot be recognized by conventional visual observation and are in the order of nanometer to micrometer, the coloring agent can clearly expose the defects through the difference of local color depth or fluorescence intensity, and visual precision diagnosis of the quality of the hydrophilic functional layer is achieved.

This invention discloses a large-section kit for pathological prostate tissue, comprising an embedding cassette, an embedding mold, and a sample holder disposed within a storage box. The embedding cassette includes an embedding cassette body, a first partition, a first elastic clamping device, an embedding cassette lid, and a mounting ring. The bottom plate of the embedding cassette body, the embedding cassette lid, and the first partition are all plate structures with mesh openings. The pathologically obtained prostate tissue is placed between the first partition and the bottom plate of the embedding cassette body, and the elastic clamping device is disposed between the first partition and the embedding cassette lid. The embedding mold includes an embedding mold body, a second partition, and a second elastic clamping device. This invention can effectively improve the integrity and consistency of slide preparation, reduce specimen loss, and ensure the homogeneity of continuous step slides. Based on this, various specific staining methods can be performed, improving the reliability of pathological clinical diagnostic assessment and the objectivity of biological information diversity analysis in basic research, thereby reflecting the reliability of the gold standard for pathological testing.

The application discloses a kind of portable microplastics rapid detection method and device based on fluorescence, including sampling module, pre-treatment module, fluorescence detection module and control module;Sampling module is connected with pre-treatment module, and sampling module is used for the collection of microplastics in water body;Pre-treatment module is used to remove redundant impurities, retain microplastics, and specifically dye it;Fluorescence detection module is connected with pre-treatment module, and the application relates to the technical field of water quality detection.This kind of portable microplastics rapid detection method and device based on fluorescence, the portable microplastics rapid detection device, high degree of automation, can complete the qualitative and quantitative analysis task of microplastics quickly and accurately on site, avoid the time and cost overhead of sample return laboratory analysis, save time and effort, not only can effectively improve the efficiency of sample microplastic detection, but also greatly reduce the cost of sample microplastic detection.

This invention discloses a method and system for in vitro assessment of renal biopsy tissue quality based on virtual special staining, belonging to the field of biomedical image processing technology. The method includes: acquiring and scanning undewaxed mounted sections to be assessed to obtain unstained whole-section images; inputting the unstained whole-section images into a pre-trained hybrid contrast virtual staining generation model to generate virtual special staining images with specific staining textures; the hybrid contrast virtual staining generation model is obtained through optimization training based on a total loss function, which includes adversarial loss, L1 loss, and PatchNCE block noise contrast estimation loss to maximize the mutual information between the input and generated images at corresponding spatial locations; inputting the virtual special staining images into a target detection network to identify glomerular structures and count the total number of glomeruli; and outputting the suitability assessment result of the undewaxed mounted sections based on the comparison result between the total number of glomeruli and a preset threshold. By scanning undewaxed mounted sections, the traditional dewaxing and rehydration steps are eliminated, improving efficiency; and the virtual silver staining technology significantly enhances the ability to identify glomeruli.

The application discloses an auxiliary lymphoma immunohistochemical positive cell positioning analysis device and method, and relates to the technical field of positive cell positioning.The application comprises an image acquisition and preprocessing module, a positive area preliminary screening module, a cell morphology analysis module, a three-dimensional coordinate positioning module and a report generation and visualization interaction module, is used for accessing a digital slice scanner or a digital pathology image management system, reading an immunohistochemical slice image in a WSI format, and being internally provided with a convolutional neural network model based on deep learning; the model is trained and optimized through a large number of annotated lymphoma immunohistochemical slice images, and can automatically identify suspicious areas with positive cell characteristics in the image.The double-layer analysis mechanism combining the deep learning model and the multi-dimensional screening of morphological parameters can significantly reduce the interference of non-specific staining and background impurities, and effectively reduce the missed detection rate and the false detection rate, compared with the traditional manual film reading or single threshold judgment method.

This invention relates to the field of image analysis technology, specifically to a method for assessing the distribution of cardiac mesothelial cells based on immunofluorescence images. The method includes: acquiring multiple immunofluorescence images of cardiac mesothelial cells at different antibody concentrations within the assessment group; determining initial cardiac mesothelial cell regions based on the staining status of the isotype control group and the differences in staining depth among multiple staining regions in the immunofluorescence images; analyzing non-specific staining based on changes in the staining area and irregular cell boundaries of the initial cardiac mesothelial cell regions, and adjusting the antibody concentration accordingly; determining multiple target cardiac mesothelial cell regions, and obtaining the location information of the cardiac mesothelial cells based on the degree of overlap and similarity between these regions; and analyzing the spacing distribution of cardiac mesothelial cells and their distribution in the immunofluorescence images based on the location information to obtain the uniformity of the cardiac mesothelial cell distribution.

The invention relates to the technical field of image analysis, in particular to a cardiac mesothelial cell distribution assessment method based on immunofluorescence images, which comprises the following steps: acquiring a plurality of immunofluorescence images corresponding to cardiac mesothelial cells under different antibody concentrations in a group to be assessed; determining an initial heart mesothelial cell region according to the dyeing condition of the same type control group and the dyeing depth difference of a plurality of dyeing regions in the immunofluorescence image; analyzing the non-specific staining condition according to the staining area change and the cell boundary irregularity condition of the initial heart mesothelial cell region, and adjusting the antibody concentration; determining a plurality of target cardiac mesothelial cell regions, and obtaining the position information of cardiac mesothelial cells according to the overlapping similarity among the plurality of target cardiac mesothelial cell regions; and according to the position information of the heart mesothelial cells, analyzing the spacing distribution of the heart mesothelial cells and the distribution of the heart mesothelial cells in the immunofluorescence image to obtain the distribution uniformity of the heart mesothelial cells.

The application discloses a method for preparing a cell block by using mucin emulsifier and application thereof, and the preparation method comprises the following steps: centrifuging a non-gynecological sample to obtain a first separation liquid, adding the first separation liquid into a formaldehyde-alcohol solution to centrifuge to obtain a second separation liquid, and adding the second separation liquid into mucin emulsifier to centrifuge to obtain a cell block. The preparation method is simple, the manufacturing cost is low, the cell block has high enrichment efficiency, cell loss is small, and the mucin emulsifier does not affect cell activity. The cell block prepared by using the mucin emulsifier has the following advantages: the appearance of the section of the cell block is complete, the section has a regular circular structure, the porosity is moderate, and the thickness is uniform; the application effect of the section in two kinds of staining is good: the hematoxylin-eosin staining has a clear background and clear contrast, cells are uniformly distributed in a circular area, cell morphology presents a stereoscopic effect, and the excellent rate of the stained section is 98.94%; the immunohistochemical staining has a clean background, and structures and cells are specifically dyed, and the excellent rate of the stained section is 99.30%, so that the cell block has a wide application prospect.

The staining condition evaluation method comprises: a step for imparting a first primary antibody to a test specimen under a first staining condition (step S11); a step (step S13) for capturing an image of the test specimen to acquire a first image; a step (step S15) for imparting a second primary antibody to the test specimen under a second staining condition; a step (step S17) for capturing an image of the test specimen and acquiring a second image; and a step (step S18) for determining whether or not the first staining condition and the second staining condition are appropriate on the basis of the detection results of the stained cells in the first image and the second image. In step S18, when the cells on the test specimen are specifically stained in the first image, the cells on the test specimen different from the first image are specifically stained in the second image, and the cells on the test specimen stained in the first image are not stained in the second image, it is determined that the first staining condition and the second staining condition are appropriate.

Described herein is an imaging-based method for identifying RNA molecules in a sample, which is able to determine both the location and sequences of the RNA molecules. The method comprises: forming randomized barcode attached to the RNA molecules in the sample by sequential stepwise addition of permanent nucleic acid adapters randomly selected from a pool; acquiring imaging signals from the sequence-specific staining of the newly added permanent nucleic acid adapters after each addition of a permanent nucleic acid adapter, which links the location information of the RNA molecules with the barcoding; sequencing the barcoded RNA molecules, which links the sequences of the RNA molecules with the barcoding; and matching the location of the RNA molecules to the sequences thereof by matching the barcoding. Also described are kits for performing the method.

This invention relates to the field of microbial detection technology, specifically to a method and apparatus for simultaneous culture and staining of fungi. This invention creatively proposes a culture-integrated staining scheme, premixing a specific staining agent A at an optimal concentration in the culture medium. In use, only sample inoculation and culture are required, followed by direct in-situ microscopic observation, eliminating the need for any subsequent picking, smearing, and staining steps. This method significantly simplifies the operational process, improves detection efficiency and biosafety, and, due to its low cost and effectiveness against a variety of common pathogenic fungi, has promising prospects for clinical application and widespread adoption.

The invention provides a lymph node tumor residue prognostic risk hierarchical prediction method, and belongs to the technical field of risk prediction, and the method comprises the steps: obtaining a lymph node HE staining section and an immunohistochemical labeled section, employing a U-Net + + network to automatically recognize a tumor region of interest, removing background noise and non-specific staining interference based on an adaptive threshold segmentation algorithm, and determining the prognostic risk of the lymph node tumor residue. Extracting information according to four dimensions to form a standardized extraction information set; fusing and mapping the extracted information set into a 256-dimensional feature vector set, inputting each vector into a dynamic integrated prediction model, and outputting the hierarchical differential expression of each vector and the hierarchical comprehensive expression of the vector set; and based on a quantitative threshold value of hierarchical differential expression, in combination with risk probability comparative analysis of hierarchical comprehensive expression, determining a risk level, and in combination with a state index of the patient, constructing a multi-dimensional dynamic weight decision model, and making a personalized scheme. Through multi-modal feature extraction, dynamic integration modeling and personalized decision making, accurate risk layering and treatment scheme customization are realized.

The invention relates to the technical field of fluorescence detection, in particular to a high-brightness fluorescent probe capable of rapidly and specifically staining cell nucleuses and a preparation method and application thereof.The preparation method comprises the steps that meso-chlorine-substituted piro red fluorescent dye is dissolved in a solvent and then reacts with alkyl primary amine for 2 hours at the room temperature, then the solvent is removed through rotary evaporation, separation and purification are conducted, and the high-brightness fluorescent probe capable of rapidly and specifically staining the cell nucleuses is obtained. The green fluorescent probe capable of realizing specific high-contrast fluorescent staining on the cell nucleus within 1 minute is obtained. The method can be applied to rapid real-time observation of changes of cell nucleus morphologies in different cell division cycles and rapid detection of cell nucleus morphological abnormalities of pathological cells in biological samples.

The invention provides a portable cervical exfoliated cell staining suit and a use method thereof, and belongs to the technical field of cell staining devices. The portable cervical exfoliated cell dyeing suit comprises a bearing table, an elution device and a cover plate, a mixture 1 is attached to the bearing table, the elution device contains eluent, and a mixture 2 is attached to the cover plate; the mixture 1 is prepared from agarose, hematoxylin liquid and water; the eluent is composed of an ethanol solution, eosin dye liquor and water; the mixture 2 is composed of neutral gum and environment-friendly transparent liquid. By adopting the portable cervical exfoliated cell dyeing suit and matching with a corresponding specific dyeing treatment process, cervical exfoliated cell dyeing can be carried out in time when a gynecologic doctor examines, and the examination result time is effectively shortened.

The invention discloses a multiple immunofluorescence color development kit and application thereof, the multiple immunofluorescence color development kit comprises a fluorescent material, the structure of the fluorescent material is as shown in formula (I), the fluorescent material in the multiple immunofluorescence color development kit has a weak fluorescence signal in the absence of HRP enzyme catalysis, and does not generate non-specific adsorption staining on tissue slices, so that the problem of non-specific staining in the use process of existing immunofluorescence histochemistry can be solved.