193 results about "Tissue section" patented technology

A deep learning-based virtual HER2 IHC staining method uses a conditional generative adversarial network that is trained to rapidly transform autofluorescence microscopic images of unlabeled / label-free breast tissue sections into bright-field equivalent microscopic images, matching the standard HER2 IHC staining that is chemically performed on the same tissue sections. The efficacy of this staining framework was demonstrated by quantitative analysis of blindly graded HER2 scores of virtually stained and immunohistochemically stained HER2 whole slide images (WSIs). A second quantitative blinded study revealed that the virtually stained HER2 images exhibit a comparable staining quality in the level of nuclear detail, membrane clearness, and absence of staining artifacts with respect to their immunohistochemically stained counterparts. This virtual staining framework bypasses the costly, laborious, and time-consuming IHC staining procedures in laboratory, and can be extended to other types of biomarkers to accelerate the IHC tissue staining and biomedical workflow.

The invention relates to a method for detecting a B cell subset in a lymphatic tissue, a kit comprising a quantum dot-antibody CD19 conjugate, a quantum dot-antibody CD138 conjugate and a quantum dot-antibody CD1d conjugate is used for dyeing a lymphatic tissue section, and different antibodies are marked by quantum dots with different colors, so that the B cell subset in the lymphatic tissue section can be detected, and the B cell subset in the lymphatic tissue section can be detected. Content and positions of plasma cells and regulating B cells are confirmed, so that biological behaviors of the plasma cells and regulating B cells can be determined conveniently. According to the method, the existing multi-color immunofluorescence technology is improved, a secondary antibody dyeing link is omitted by using a quantum dot carrying antibody method, a direct method is adopted for marking, the advantages of quantum dots are exerted, the experiment time is saved, and the efficiency is improved.

The invention relates to a detection kit and a detection method for EBV latent infection of epithelial cells and B cells in a thymus and salivary gland tissue microenvironment, and the detection method comprises the following steps: dyeing thymus and salivary gland tissues by coupling quantum dots and a specific antibody; the conjugate of the quantum dots and the specific antibody is combined with a specific antigen of a tissue sample to realize marking of EBV latent infection epithelial cells and B cells by the quantum dots. According to the invention, the existing multicolor immunofluorescence technology is improved, the specific antibody and the quantum dot are coupled and purified and then are directly combined with the antigen on the tissue slice to realize direct marking of the quantum dot coupled antibody on the tissue sample, so that EBV latent infection cells in the thymus and salivary gland tissue microenvironment are positioned and quantified; the virus infection condition of the patient is evaluated from the pathogenesis level, the disadvantage that the previous evaluation means are limited is overcome, and the method has good sensitivity and accuracy.

The invention relates to a CACNA1A-based mental patient heart death intelligent identification system and method, the system comprises an immunohistochemical staining device, an image acquisition unit, an image analysis unit and an intelligent identification unit, the immunohistochemical staining device is used for performing CACNA1A immunohistochemical staining on formalin-fixed paraffin-embedded heart tissue slices; the image acquisition unit is used for shooting and obtaining a heart tissue CACNA1A immunohistochemical staining image; the image analysis unit is used for processing the heart tissue CACNA1A immunohistochemical staining image so as to determine a tissue staining region and image features thereof; and the intelligent identification unit outputs an identification prediction result of heart death of the mental patient according to the image features of the tissue staining region. Compared with the prior art, the mental patient heart death identification system can intelligently and accurately identify mental patient heart death.

The invention relates to the technical field of space-time transcriptomes, in particular to a space-time transcription technology-based heterologous target sequence specific enrichment method and application. The invention provides a heterologous target sequence specific enrichment method based on a space-time transcription technology and application. In the reaction process of space-time transcriptome analysis, the method provided by the invention can be used for specifically enriching interested specific sequences (heterologous target sequences) while space-time gene information of the whole tissue slice is reserved, so that the relationship between heterologous genes and gene expression modes in tissues can be better researched. According to the method provided by the invention, an enrichment process based on combination of space transcriptome and multi-omics analysis is perfected, and a reliable basis is provided for multi-omics research, for example, bacterial distribution information in a host, infection mode information of the host, local response of the host and the like can be obtained from a bacterial infected tissue sample.

To provide a method of clearing false positive immunostaining signals and noise, to perfect incomplete staining.SOLUTION: A method for refining virtually-stained image annotations includes separating an image of a stained tissue section into an image of a counterstain and an image of immunostaining visual signals via linear transformation, to identify and segment nuclei in the image of the counterstain to generate an image of a refined counterstain with single-cell segments. The method further includes comparing immunostaining visual signals in the single-cell segments of the image of the refined counterstain to a user-defined threshold to determine true positive cells. The method further includes overlaying the image of the counterstain and the image of refined immunostaining visual signals to generate a refined virtually-stained image annotation.SELECTED DRAWING: None

Disclosed herein, inter alia, are methods for the transfer and manipulation of tissue sections using hydrogel substrates.

The invention discloses a biological specimen pathological tissue slicing device, and relates to the technical field of pathological tissue slicing, the biological specimen pathological tissue slicing device comprises a waste box and a slicing machine body, the top of the waste box is provided with a protection assembly, and the protection assembly is internally provided with a cleaning assembly; and the protection assembly comprises a forward and reverse motor, a first rotating strip is fixedly installed at the output end of the forward and reverse motor, a first fixing rod is fixedly installed on the outer surface of the first rotating strip, a protection cover is fixedly installed at one end of the first fixing rod, and a second fixing rod is fixedly installed on the outer surface of one side of the protection cover. When the device is used, the positive and negative motor is started to drive the first rotating strip and the first fixing rod to rotate, so that the protective cover is driven to rotate to the top of the slicing knife, the cutting edge of the slicing knife is protected, workers are prevented from accidentally touching the cutting edge of the slicing knife when replacing other pathological tissues, accidental injury and hand injury are prevented, and the safety is improved.

The invention discloses a method for researching the specific distribution of a multi-component complex system in animal tissues based on mass spectrum imaging and multivariate statistical analysis, which comprises the following steps: treating the multi-component complex system, performing animal administration for a certain time, killing the animal, taking the animal tissues, slicing the animal tissues, and taking out the sliced animal tissues; and performing mass spectrum imaging analysis and multivariate statistical analysis to obtain a specific distribution result of the multi-component complex system in the animal tissue. On the basis of a frozen section technology and a mass spectrum imaging technology, a DESI-MSI analysis method of the whole mouse tissue section is established, and in-situ distribution characteristics of the active ingredients of the Anefortia divaricata on the brain tissue section are disclosed by combining multivariate statistical analysis.

The invention relates to a method and system for evaluating the influence of B cells on prognosis of pancreatic cancer patients, and the method comprises the steps: carrying out the whole tissue section treatment and CD20 immunohistochemical staining treatment of a historical PDAC specimen, scanning the processed historical PDAC specimen through a whole tissue section scanning technology, obtaining a whole tissue section image of the historical PDAC specimen, and carrying out the detection of the whole tissue section image of the historical PDAC specimen. B cell recognition and extraction are carried out on the basis of the obtained B cell coordinates, a two-dimensional projection drawing is generated based on all the obtained B cell coordinates, the two-dimensional projection drawing is divided into an invasion leading edge area, a cancer central area and a cancer island area through a spatial analysis method, and the occupancy rate, fractal dimension, clustering density and coverage rate of B cells in different areas are calculated; all the indexes are combined with the life cycle of the pancreatic cancer patient to carry out survival analysis, and a result that the B cell has an influence on the prognosis of the pancreatic cancer patient is obtained. Therefore, the accuracy of evaluating the influence of the B cells on the prognosis of the pancreatic cancer patient is improved.

A tomography imaging system integrating optical microscopic imaging and large sample biological tissue slicing. By means of integration and synchronization of physical slicing and the imaging system, massive three-dimensional image information of an isolated organ or biological tissue can be acquired in a short time. Moreover, the system uses a remote focusing technology to increase an axial scanning speed, greatly shortening the imaging time, and increasing the image data acquisition throughput. In addition, the system is equipped with a dual-excitation optical path for dual-color imaging, so that two different tissue component information can be acquired at the same time.

The invention provides a full-automatic pathological tissue slicing device. The full-automatic pathological tissue slicing device comprises a base, a reciprocating motion locking mechanism is arranged at the top of the base, a horizontal pushing mechanism is arranged on the reciprocating motion locking mechanism, and a paraffin pathological tissue block fixing mechanism is arranged on the reciprocating motion locking mechanism. A cutter mechanism mounted at the top of the base is arranged on one side of the paraffin pathological tissue block fixing mechanism; the paraffin pathological tissue block fixing mechanism is used for fixing a paraffin pathological tissue block; the reciprocating motion locking mechanism is used for conducting longitudinal reciprocating motion on the pathological tissue and meanwhile is matched with the cutter mechanism to slice the pathological tissue. The full-automatic pathological tissue slicing device provided by the invention has the advantages that the use is efficient, time and labor are saved, the labor cost is saved, paraffin pathological tissue slicing can be autonomously and controllably carried out, and chipping cross contamination is removed in time.

The invention discloses a bioelectrical impedance tumor identification method based on multi-modal fusion. The method comprises the following steps: S1, acquiring electrical impedance signal data and tissue slice image data of a tumor sample; the tissue slice image data are pathological slice images corresponding to tumor tissues; s2, inputting the electrical impedance signal data and the tissue slice image data into a multi-modal feature coding module for asymmetric feature coding; s3, performing splicing and weighted fusion on the global semantic feature vector and the image semantic feature vector to form a multi-modal feature vector; and S4, inputting the multi-modal feature vector into a decoding network for classification prediction, and outputting a tumor identification result. According to the method, an asymmetric coding structure and a weighted fusion mechanism are constructed by fusing the electric signal modality and the image modality, so that the utilization efficiency and the feature discrimination capability of multi-modal information can be effectively improved, and the accuracy and the reliability of tumor recognition are remarkably improved.

The invention discloses a microwave efficient paraffin section manufacturing method for animal tissues and application of the microwave efficient paraffin section manufacturing method. The microwave efficient paraffin section manufacturing method comprises the following steps of sampling, fixing, dewatering, transparentizing, paraffin soaking, embedding, slicing, section unfolding, dyeing, section sealing and observing. According to the method disclosed by the invention, by combining a microwave technology and aiming at the characteristics of zebra fish intestinal tissue materials, the steps of fixing, dehydrating, transparentizing, waxing and the like in the operation process are optimized and improved, so that the experiment time is greatly shortened; taking zebra fish intestinal tissues as an example, the traditional paraffin section preparation needs about 100 hours, but the paraffin section preparation method disclosed by the invention only needs 6 hours, so that the rapid paraffin section preparation is realized, the experiment time is greatly shortened, and the intestinal tissue section with a complete structure can also be obtained.

The invention relates to the technical field of frozen slicing, in particular to a mammal skin embedding method for a spatiomics technology, which comprises the following steps: acquiring an in-vitro skin sample which comprises an epidermal layer, a corium layer and optional subcutaneous tissue; shearing the fat in the skin sample under the condition a to remove the fat in the skin sample, and freezing and embedding the fat-removed skin sample. The mammal skin embedding method provided by the embodiment of the invention provides a standardized overall scheme for sample analysis of mammal skin and hair follicle tissues, is beneficial to obtaining tissue slices with high quality, complete morphology and good cell state, and realizes space omics sequencing with high sample utilization rate.

The invention discloses an immunostaining reagent for MHC-II expression detection of a gastric cancer biopsy sample, and belongs to the field of bioengineering. The invention establishes a preparation method of an immunohistochemical staining section. The preparation method specifically comprises the following steps: step 1, early-stage treatment: baking a tissue section, dewaxing, rehydrating, subsequently adding an antigen solution for repairing, adding an endogenous enzyme inhibitor for incubation, adding a sealing agent for sealing and the like; step 2, antibody incubation: adding a first antibody and a second antibody for incubation; and step 3, post-treatment: dyeing, re-dyeing, bluing, sealing and the like. A mixed buffer solution is used as an endogenous enzyme inhibitor, so that the background staining intensity is effectively reduced, and the staining sensitivity and specificity are improved; meanwhile, a staining result interpretation standard is established, it is proved that MHC-II expression is remarkably related to pathological remission of the gastric cancer patient, and an evaluation method is provided for pathological remission of the gastric cancer patient.

The application discloses application of a small-molecule drug indisulam in preparation of a drug for treating autoimmune diseases, and further verifies safety of the molecule, long-term continuous use of the drug does not cause weight loss of animals, and weight change has no difference with normal control mice; tissue sections of multiple organs show that the drug has no obvious toxic side effects on each organ. In addition, the drug can promote differentiation of regulatory T cells, but does not affect functions of other immune cells. Therefore, the drug is used for treating autoimmune diseases, and good effect is found.

The utility model discloses a small animal pathological tissue section bleaching and drying device which comprises an ultrasonic cleaning box, supporting legs are fixedly installed at the four corners of the outer surface of the lower end of the ultrasonic cleaning box, supporting columns are fixedly installed on the left side and the right side of the upper portion of the outer surface of the rear end of the ultrasonic cleaning box, and the number of the supporting columns is two sets. A drying assembly is fixedly mounted on the upper portion between the two supporting columns and comprises a box plate, an air outlet, a fan, a fixing frame, an air inlet pipe, a hollow protective shell, an air outlet pipe, a heater, an air filter element and a protective net. According to the small animal pathological tissue section bleaching and drying device, through the arrangement of the section lifting assembly, a mesh basket containing sections can be conveniently driven to be placed in the ultrasonic cleaning box, use is convenient, the treatment efficiency is improved, the mesh basket is driven to be close to the lower portion of the box plate through the section lifting assembly, and the section lifting assembly is used for lifting the sections. And the slices can be heated and dried through the drying assembly, and use is convenient.

The invention discloses an optical positioning method and system for papillary thyroid cancer cells of a terahertz near-field system, and relates to the field of terahertz near-field imaging, and the method comprises the following steps: carrying out the imaging observation of a thyroid tissue section under a first magnification factor through a microscope, carrying out low-magnification imaging partitioning on an area where imaging observation is located according to the morphological characteristics of the cells to form partitioned images; selecting an area of suspected papillary thyroid cancer cells, performing observation and comparison under a second magnification, comparing the observed morphology with the known optical characteristics of the papillary thyroid cancer cells, and selecting an area near the area with the suspected characteristics as an optical positioning point and performing marking; and carrying out positioning according to the optical positioning point, and carrying out scanning imaging by using a terahertz near-field system. The problems that a terahertz near-field system is long in time consumption and difficult to locate when finding papillary cancer cells in multiple cells of thyroid tissue slices are mainly solved.

The invention discloses an in-situ derivatization mass spectrometry imaging method, which belongs to the technical field of mass spectrometry imaging detection, and comprises the following steps: preparing a sample slice and attaching the sample slice to a conductive glass slide; the method comprises the following steps: dissolving a derivatization reagent and a catalyst in a volatile organic solvent to prepare a derivatization reagent system solution, and spraying the derivatization reagent system solution on the surface of the tissue slice for derivatization reaction; coating a matrix on the surface of the derivatization slice, and identifying and analyzing by using an MALDI-MSI method; the structure of the derivatization reagent is shown in the specification. The derivatization reagent can perform mild and rapid in-situ derivatization on trace carbonyl-containing compounds in biological tissues, significantly improve the mass spectrum signal response of target compound molecules and significantly inhibit the delocalization (diffusion) phenomenon of analytes, and the MALDI-MSI technology is adopted to analyze the derivatized tissue slices. High-spatial-resolution in-situ visualization characterization of trace carbonyl-containing compounds in biological tissue slices is realized, and the problems in the prior art are effectively solved.

The invention discloses an illumination cage-removing probe as well as a preparation method and application thereof. The illumination cage-removing probe has a structure as shown in a formula I; the illumination cage removal probe has a very high illumination cage removal rate in a non-polar solvent, and has a very low illumination cage removal rate in a water phase. The solvent polarity-sensitive illumination decaging probe can be used for proximity labeling of lipid droplet surrounding proteins in fatty liver pathological tissue slices. # imgabs0 #

The invention provides a method for carrying out multi-term immunohistochemical staining by using a single tissue slice, which is characterized by comprising the following steps: S1, selecting and preparing a tissue slice to be detected, S2, analyzing pathological tissues and related information of an HE tissue slice, S3, marking, transferring, correcting and punching staining through holes of the HE tissue slice and the tissue slice to be detected, S4, preparing before immunohistochemical staining, and S5, carrying out multi-term immunohistochemical staining by using a single tissue slice. Removing the protective film on the bottom surface of the perforated transparent adhesive sticker, bonding the bottom surface of the transparent adhesive sticker with the wax mask tissues of the to-be-detected tissue slice, exposing the wax mask tissues of the to-be-detected tissue slice at the bottoms of the dyeing through holes corresponding to the transparent adhesive sticker respectively, and removing the protective film on the surface of the transparent adhesive sticker to obtain the to-be-detected tissue slice. And opening or closing the corresponding dyeing through holes by using the silica gel nail covers to form the to-be-detected tissue sample sheet with a plurality of dyeing holes. And more comprehensive detection results of a plurality of items can be obtained on only one tissue slice, so that the application range of immunohistochemical detection is expanded, the immunohistochemical detection time is shortened, the working efficiency is improved, and the detection cost is reduced.

A device for preparing a tissue for analysis includes a first conduit adapted to transport at least one solvent, the first conduit having a distal opening that delivers the at least one solvent to a selected location on the tissue, a second conduit adapted to collect a sample comprising the at least one solvent and an analyte / metabolite from the tissue and transport the sample to at least one of a waste disposal, a storage container, and a sample analyzer. The device may be configured to directly sample an embedded tissue, and may include a heater that heats the at least one solvent to a temperature that melts the embedding medium, wherein the collected sample comprises the at least one solvent, liquified embedding medium, and an analyte / metabolite. The device allows direct analysis of the tissue at the selected location, without removing the embedding medium from the entire tissue section.

The application discloses a kind of for carcinosarcoma evaluation section and its preparation method and application, belong to pathological technical field.The preparation method includes the following steps: reticular fiber staining: silver staining method is carried out to the reticular fiber in section tissue and is dyed;Immunohistochemical staining: AE1 / AE3 protein in section tissue is marked and dyed by immunohistochemical staining method.The section obtained by the preparation method can present two kinds of staining on a tissue section, improve the expression effect of cancer, sarcoma, carcinosarcoma, reduce the identification difficulty, and be beneficial to tumor accurate typing.

A method for detecting a target of interest in a tissue sample is disclosed. The method includes: a) obtaining or having obtained a tissue sample, the tissue sample comprising DNA, non-RNA molecules, and RNA, the RNA comprising the target of interest; b) permeabilizing the tissue sample; c) substantially degrading DNA in the tissue sample; d) introducing primers or probes specific for the target of interest into the tissue sample, wherein the primers or probes bind to the target of interest; and e) detecting the target of interest in the tissue sample by detecting the primers or probes bound to the target of interest. A method for producing a hydrogel within the tissue sample is also disclosed.

The present application relates to a kind of ganoderma lucidum spore as carrier paclitaxel ganoderma lucidum spore oil self-nanoemulsion composite microparticle and its preparation method, belong to medical technology field.The pretreated ganoderma lucidum spore (GLS) is obtained by process screening, and it is used as drug carrier, and the paclitaxel ganoderma lucidum spore oil self-nanoemulsion (PGS) is loaded therein, and paclitaxel composite microparticle (PGS@GLS) is obtained.Release curve in vitro shows that PGS@GLS has the characteristics of slow release after reaching intestinal tract;In vivo pharmacodynamics experiment shows that PGS@GLS can significantly inhibit the development and metastasis of colorectal cancer in mice;Tumor tissue section immunofluorescence analysis shows that PGS@GLS can effectively exert the therapeutic effect on colon cancer.Paclitaxel self-nanoemulsion ganoderma lucidum spore composite microparticle promotes cancer immune cycle by inducing immunogenic cell death and immune regulation, significantly improves the treatment effect of colon cancer, and has good biological safety.

This invention relates to the field of image processing technology, specifically disclosing an AI-based 3D reconstruction method for human organ tissue slices. The method includes: acquiring a sequence of consecutive slice images and preprocessing them to generate a tissue foreground mask; using previously registered slices as references, estimating the homography matrix through a feature matching neural network and transforming it to obtain candidate registration results; calculating the pixel correlation between the candidate and the reference foreground mask, retaining those not less than a threshold and taking the largest to form a registration slice sequence; semantically segmenting the registration sequence to obtain a target structure mask sequence, and stacking it in voxels according to the interlayer spacing to output the 3D reconstruction result. By using multi-reference registration based on foreground correlation for optimal selection, the accumulation of misregistration is suppressed, and the alignment stability is improved; post-registration segmentation and voxel stacking realize multi-structure 3D reconstruction and sub-structure display. This method enhances registration reliability and supports multi-label 3D display.

The invention provides a thymus tissue slice capable of being transplanted in vitro, a preparation method and application and a method for constructing a thymus chimeric mouse model, the thymus tissue slice is placed on a mixed cellulose ester film of hemostatic sponge, a thymus tissue slice culture medium is added, and the thymus tissue slice is continuously cultured for 5-7 days in a cell incubator with the temperature of 37 DEG C and the CO2 content of 5% to obtain the thymus chimeric mouse model. The thymus tissue slice culture medium is replaced every day in the culture process, so that thymus cells in the cultured slice are removed, thymus tissue structures and stromal cells are reserved, and the transplantable thymus tissue slice is obtained. When the thymus chimeric mouse model is constructed, the sizes of thymus tissue slices can be adjusted according to different transplantation parts, HLA matching of donors and receptors is not needed, the model construction method is simple, the transplantation success rate is high, and the model construction method can be achieved only through a small number of thymus tissue slices.

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 discloses a tissue slice in-situ hybridization pretreatment liquid and a use method, the tissue slice in-situ hybridization pretreatment liquid is characterized in that the tissue slice in-situ hybridization pretreatment liquid is composed of a compound component A solution and a surfactant component B solution, the compound component A solution and the surfactant component B solution have a proper octanol / water partition coefficient and can effectively remove endogenous fluorescent substances, and a solvent is a hydrophilic solvent; wherein the component A is one or a combination of more of bis (hexamethylene) triamine, dodecyl pyridine chloride, cyclohexylamine, isophorone diamine, N-benzylamino ethanol, N, N, N, N-tetramethyl-1, 6-hexamethylenediamine and 1, 3-bis (aminomethyl) cyclohexane; and the component B is one or a combination of more of triton X-100, tween-20, lauryl sodium sulfate and sodium dodecyl benzene sulfonate. The method is used when the FFPE slice is subjected to fluorescence in-situ hybridization or immunofluorescence experiments, autofluorescence can be reduced in a rapid removal mode, the pretreatment effect is remarkably improved, and the hybridization efficiency of samples difficult to hybridize is improved.