42 results about "Histochemical staining" patented technology

The invention belongs to the technical field of tumor micro-immune environments, and particularly relates to a kit for detecting a tumor micro-environment, a detection method and application, the kit comprises rare metal element labeled monoclonal antibodies, the rare metal element labeled monoclonal antibodies comprise 115In-CD20, 139La-Histone H3, 142Nd-CD56, 144Nd-CD14, 146Nd-Vimentin, 148Nd-Pan-CK, 151Eu-CD31, 156Gd-CD4, 158Gd-E-Cadrin, 159Tb-CD68, 162Dy-CD8a, 166Er-CD45, 167Er-CD15, 170Er-CD3, 171Yb-CD11c and 209Bi-alpha-SMA, and the rare metal element labeled monoclonal antibodies comprise The invention can be used for simultaneously detecting and researching the quantity, positioning and spatial topological relation of each cell component in a tumor microenvironment, and provides a multi-immunofluorescence detection kit and method for ubiquitous epithelial differentiation-derived tumors based on an imaging mass spectrum flow technique. A plurality of biomarkers can be analyzed at the same time by using multiple immunohistochemical staining and rare earth metal tag signal detection technologies, so that the aim of performing high-dimensional analysis on a tumor microenvironment is fulfilled according to cell composition, functional state and cell-cell space interaction relationship.

The invention discloses a tomato LACS2 gene promoter and application thereof, and belongs to the technical field of biology. On one hand, the invention provides the tomato LACS2 gene promoter, and on the other hand, the invention provides application of the tomato LACS2 gene promoter in promoting target gene expression in plants. According to the invention, a tomato LACS2 gene promoter fragment (788bp) is constructed to drive an EGFP-GUS (Enhanced Green Fluorescent Protein-Glucuronidase) gene fusion expression vector. GUS histochemical staining and laser confocal microscopy observation prove that the promoter fragment can guide normal expression of the reporter gene in the tomato epidermis. Therefore, the LACS2 promoter can be used for researching development, quality improvement and postharvest preservation of tomato peels and specific expression of exogenous genes in the tomato peels.

A deep learning-based digital / virtual staining method and system enables the creation of digitally / virtually-stained microscopic images from label or stain-free samples. In one embodiment, the method of generates digitally / virtually-stained microscope images of label-free or unstained samples using fluorescence lifetime (FLIM) image(s) of the sample(s) using a fluorescence microscope. In another embodiment, a digital / virtual autofocusing method is provided that uses machine learning to generate a microscope image with improved focus using a trained, deep neural network. In another embodiment, a trained deep neural network generates digitally / virtually stained microscopic images of a label-free or unstained sample obtained with a microscope having multiple different stains. The multiple stains in the output image or sub-regions thereof are substantially equivalent to the corresponding microscopic images or image sub-regions of the same sample that has been histochemically stained.

The invention provides an application of narirutin in preparation of a medicine for preventing and / or treating osteoclast of inflammatory arthritis, relates to the technical field of biomedicine, and adopts a collagen-induced mouse arthritis model to observe the treatment effect of the narirutin on the osteoclast of the inflammatory arthritis. The arthritis activity degree of the mouse is analyzed through general claw photographing, thickness measurement, near-infrared temperature measurement and a claw imprinting experiment, three-dimensional reconstruction and bone trabecula analysis are carried out on local joints and the whole body bone mass of the mouse through micro-CT scanning, and Hamp is applied; e, dyeing and Famp; through histological staining analysis such as O staining and TRAP staining, in combination with immunohistochemical staining and the like, the narirutin is proved to play a role in treating inflammatory arthritis, inhibit macrophage pro-inflammatory M1 type polarization, relieve the inflammation level, improve the bone mass of local joints and the whole body, and further improve bone destruction in inflammatory arthritis diseases. The narirutin provides a new way for medicine prevention and treatment of inflammatory arthritis.

The utility model relates to a staining kit, in particular to an immunohistochemical staining kit. The kit comprises a storage box, a clamping plate is arranged in the storage box, a plurality of clamping grooves are evenly formed in the clamping plate, a kit body is arranged in the clamping grooves, a plurality of placing grooves are evenly formed in the kit body around the circle center, reagent bags are arranged in the placing grooves, and different reagents are stored in the reagent bags; a sliding groove is formed in the inner wall of the top end of the kit close to the placing groove, and a cutting assembly is slidably connected into the sliding groove and used for cutting the reagent capsule. According to the kit storage box, a combined structure of the clamping grooves and the kits is designed, and the kits are placed in the clamping grooves, so that the kits are orderly arranged in the storage box and are convenient to manage and take, the efficiency of an experiment preparation stage is favorably improved, and disorder and loss of the kits are reduced; the reagent bag body can be stably placed in the placing groove, stability and safety of the reagent in the storage process are guaranteed, meanwhile, the reagent bag body can rapidly release the reagent into the kit after being cut through the arrangement of the liquid inlet, automatic feeding of the reagent is achieved, and complexity and errors of manual operation are avoided.

The method comprises the following steps: fixing with a pre-fixing solution, wrapping and forming with a solid agent, fixing with a fixing solution, embedding with an embedding agent, decomposing melanin with a melanin decomposing solution, pre-decoloring with a pre-decoloring solution, decoloring with a decoloring solution, and eluting with a rinsing solution. The invention provides a melanin removing method capable of effectively avoiding retina RPE layer cell exfoliation, protein denaturation and nucleic acid degradation. The method mainly comprises the following steps: keeping the original state of tissue cells by adopting a pre-fixing solution, keeping the complete tissue structure by adopting a solid agent, decomposing melanin particles by adopting a melanin decomposing solution composed of various extracts, separating melanin by adopting a pre-decoloring solution and a decoloring solution, eluting the melanin decomposed on the surface of the tissue by adopting a rinsing solution, and the like. On the premise that the retina tissue structure is intact and protein, nucleic acid and cell structures on the surface of the tissue section are not damaged, melanin particles in the tissue section are effectively decomposed, the biological activity of various organelles on the surface of the section is kept, and the requirements of subsequent chemical staining of various tissues are met.

A deep learning-based digital staining method and system are disclosed that enables the creation of digitally / virtually-stained microscopic images from label or stain-free samples based on autofluorescence images acquired using a fluorescent microscope. The system and method have particular applicability for the creation of digitally / virtually-stained whole slide images (WSIs) of unlabeled / unstained tissue samples that are analyzes by a histopathologist. The methods bypass the standard histochemical staining process, saving time and cost. This method is based on deep learning, and uses, in one embodiment, a convolutional neural network trained using a generative adversarial network model to transform fluorescence images of an unlabeled sample into an image that is equivalent to the brightfield image of the chemically stained-version of the same sample. This label-free digital staining method eliminates cumbersome and costly histochemical staining procedures and significantly simplifies tissue preparation in pathology and histology fields.

A system and method for performing virtual birefringence imaging and virtual staining (e.g., Congo red) of label-free human tissue is disclosed to show that a single trained neural network can rapidly transform autofluorescence images of label-free tissue into brightfield and polarized microscopy images, matching their histochemically-stained versions. Blind testing with quantitative metrics and pathologist evaluations on cardiac tissue showed that the virtually stained polarization and brightfield images highlight amyloid patterns in a consistent manner, mitigating challenges due to variations in chemical staining quality and manual imaging processes in the clinical workflow.

The invention relates to the technical field of biological medicines, and particularly discloses a transcription factor HOMEZ phosphorylation site specific antibody as well as a preparation method and application thereof. The specific antibody provided by the invention can specifically recognize phosphorylation of the 451st site threonine of HOMEZ in a tumor specimen, so that the prognosis condition of the tumor is judged, and a potential action target is provided for clinical diagnosis and treatment of the tumor; moreover, the specific antibody disclosed by the invention can be used for detecting the expression difference between normal cells and tumor cells in a Western blot experiment, and is beneficial to research on the effect of phosphorylation modification of HOMEZ protein in the occurrence and development process of tumor diseases; and the kit can also be used for detecting the phosphorylation level of the HOMEZ protein in a clinical specimen through experiments such as immunofluorescence and immunohistochemical staining, and has a wide clinical application prospect in the aspects of disease diagnosis, treatment, prognosis judgment and the like.

The invention discloses a multi-modal biophysical characterization device, a multi-modal biophysical characterization system, a multi-modal biophysical characterization method and application thereof. The multi-modal, high-resolution, high-throughput, high-sensitivity, low-cost, low-damage and configurable physical characterization of single cells or multi-cell polymers can be realized, stimulation (such as mechanical stimulation, electrical stimulation and light stimulation) of different types and intensities can be performed on a to-be-detected sample, and the in-vivo microenvironment can be better simulated; and carrying out operations (such as marking, curing, ablation, cutting, extraction, sorting and the like) on samples at specific positions or regions, and carrying out comparative analysis in combination with other characterization methods (such as protein staining, histochemical staining, single cell sequencing and the like). The multi-mode biophysical characterization device is suitable for the fields of synthetic biology, diagnosis, drug discovery, tumor early screening, cell therapy, precision medical treatment and the like.

The application relates to the field of immunohistochemical staining, in particular to a DAB buffer and a DAB staining solution kit for DAB color development. The application discloses a DAB buffer for DAB color development, and the main components are hydrogen peroxide, nonylphenol polyoxyethylene ether, magnesium sulfate and trisodium citrate. The metal ions in the DAB buffer can enhance the electron transfer speed between DAB and hydrogen peroxide, and improve the color development sensitivity. The nonylphenol polyoxyethylene ether can stabilize the hydrogen peroxide, so that the hydrogen peroxide can be stored for a longer time and the cost is saved. The application further discloses a DAB staining solution kit, which comprises a blocking agent, a reaction enhancer, an enzyme-labeled polymer IgG, a DAB concentrated solution, a DAB buffer and hematoxylin, and the above-mentioned DAB buffer for DAB color development. The DAB staining solution kit of the application can improve the detection sensitivity of immunohistochemical staining, and can also improve the storage stability of the DAB color development solution and reduce the cost.

The application provides an immunohistochemical staining image analysis method, including: cutting a plurality of cell nuclei of an immunohistochemical staining image according to a machine learning model; removing pixels belonging to the cell nuclei in the immunohistochemical staining image and removing pixels meeting a color range to obtain a plurality of cytoplasm pixels; distributing the cytoplasm pixels to the cell nuclei according to the positions of the cytoplasm pixels to form a plurality of cells; and calculating a pixel staining score of each pixel in the cells, thereby calculating a cell staining score of the cells. Thus, the staining score of the cells can be objectively and automatically calculated.

Disclosed herein are systems, methods and computer-program products to create synthetic immunohistochemistry (IHC) stained digital slides generated using artificial neural networks (ANNs). In some implementations, the created digital slides can be used as a ground truth to evaluate a method of analyzing IHC stained tissues.

The present invention relates to: a composition and kit for immunohistochemistry (IHC) staining, comprising an anti-PAUF monoclonal antibody that specifically binds to a PAUF protein; and an immunohistochemical staining method using same. The present invention exhibits significantly improved staining sensitivity and clarity over conventional PAUF staining methods, thereby providing the advantage of obtaining more accurate and reliable results regarding the expression of the PAUF protein. In addition, the present invention enables accurate staining of a large amount of clinical tissues in a short time by using specialized staining equipment together, thereby providing the advantage of enhancing the reliability of staining results. Accordingly, it is possible to specifically, rapidly, and accurately identify only PAUF within cancer tissues of cancer patients, thereby enabling rapid and efficient cancer diagnosis, and by using this, early cancer diagnosis is possible, thereby enabling early treatment for cancer patients in need of targeted therapy.

A method for training a machine learning model and a computing system performing same, wherein the machine learning model is trained to analyze biological tissue slide images stained by a immunohistochemical staining method for staining tissues expressing specific biomarkers and thus can be used to further elaborately analyze expression levels of biomarkers, etc., whereby a determination can be made on pathological specimen images by analyzing expression levels of biomarkers, etc. A method and system for training a machine learning model using training data, corresponding to immunohistochemically stained images, generated from multiple feature vectors calculated based on various staining intensity criteria.

This application relates to the field of biomedical technologies, and specifically discloses a transcription factor HOMEZ phosphorylation site-specific antibody, its preparation method and applications. The specific antibody provided in this application can specifically recognize the phosphorylation of threonine at position 451 of HOMEZ in tumor specimens, thereby judging the prognosis of tumors and providing potential therapeutic targets for the diagnosis and treatment of clinical tumors. Moreover, the specific antibody of this application can be used in Western blot experiments to detect the expression differences between normal cells and tumor cells, which helps to study the role of phosphorylation modification of HOMEZ protein in the occurrence and development of tumor diseases. It can also be used in experiments such as immunofluorescence and immunohistochemical staining to detect the phosphorylation level of HOMEZ protein in clinical specimens, and has broad clinical application prospects in aspects such as disease diagnosis, treatment and prognosis determination.

A method for preventing the retinal pigment from being removed from the network, comprising the steps of pre-fixing liquid fixation, solidifying agent wrapping shaping, fixing liquid fixation, embedding agent embedding, melanin decomposition liquid decomposing melanin, pre-decoloring liquid pre-decoloring, decoloring liquid decoloring and rinsing liquid elution. A method for removing melanin is provided to effectively avoid the retinal RPE layer cell from being removed from the network, protein denaturation and nucleic acid degradation. The method mainly adopts the following steps: pre-fixing liquid to maintain the original state of tissue cells, solidifying agent to maintain the integrity of tissue structure, melanin decomposition liquid composed of various extracts to decompose melanin particles, pre-decoloring liquid and decoloring liquid to separate melanin, and rinsing liquid to elute the decomposed melanin on the surface of the tissue, etc. Under the premise of ensuring the integrity of the retinal tissue structure, not damaging the surface protein, nucleic acid and cell structure of the tissue section, effectively decomposing the melanin particles in the tissue section, maintaining the biological activity of various organelles on the section surface and meeting the needs of subsequent various histochemical staining.

The present application relates to cell biology, and more specifically, to a multimodal biophysical characterization apparatus, a multimodal biophysical characterization system, a multimodal biophysical characterization method, and its use. The present application can achieve multimodal, high-resolution, high-throughput, high-sensitivity, low-cost, low-damage, and configurable physical characterization of single cells or multicellular aggregates, and can subject the sample to be tested to stimuli of different types and intensities (such as mechanical stimulation, electrical stimulation, light stimulation, etc.) to better simulate the in vivo microenvironment, as well as perform operations on samples at specific positions or regions (such as marking, fixing, ablating, cutting, extracting, sorting, etc.), and combine with other characterization methods (such as protein staining, histochemical staining, single-cell sequencing, etc.) for comparative analysis. The multimodal biophysical characterization apparatus provided by the present application is suitable for fields such as synthetic biology, diagnostics, drug discovery, early tumor screening, cell therapy, and precision medicine.

Disclosed herein are systems, methods and computer-program products to create synthetic immunohistochemistry (IHC) stained digital slides or virtual tissue sections generated using artificial neural networks (ANNs). In some implementations, the created digital slides or a virtual tissue sections can be used as a ground truth to evaluate a method of analyzing IHC stained tissues.

An autonomous quality and hallucination assessment method (AQuA) is disclosed, designed for either virtual tissue staining or histochemical staining. AQuA uses a trained neural network to autonomously achieve 99.8% accuracy when detecting acceptable and unacceptable virtually stained tissue images without access to ground truth, also presenting an agreement of 98.5% with the manual assessments made by a group of board-certified pathologists. AQuA achieves super-human performance in identifying realistic-looking, virtually stained hallucinatory images that would normally mislead human diagnosticians. The wide adaptability of AQuA is demonstrated across various virtually and histochemically stained human tissue images and showcase its strong external generalization to detect unseen hallucination patterns of virtual staining network models as well as artifacts observed in the traditional histochemical staining workflow.

To provide a quality control slide which enables estimation of the presence or absence of abnormality in an automatic immunostaining device and causes thereof if abnormality is present.SOLUTION: A quality control slide is provided, having a spot (antigen(-)) containing no antigen, a spot (fixation(-) / antigen(+)) not histologically fixed and containing an antigen, and a spot (fixation(+) / antigen (+)) histologically fixed and containing the antigen.SELECTED DRAWING: Figure 1

A supramolecular histochemistry system for staining includes a chaotropic ion and a chaotropic ion complexing agent that acts as a molecular host and accepts the chaotropic ion as a molecular guest. The chaotropic ion facilitates the diffusion of a probe, such as an antibody, into and within a tissue sample, binding the probe to the molecular host or diluting the probe, thereby promoting the association of the antibody with a target antigen and generating an immunostaining or histochemistry signal. Alternatively, a small fluorescent probe serves as the molecular guest and is complexed by the supramolecular host to facilitate deep penetration. A method for performing histology employs the supramolecular system with deep, uniform histochemistry. Such a method is relatively rapid, scalable, automatable, and cost-effective.

The invention discloses a section for evaluating cancerosarcoma as well as a preparation method and application thereof, and belongs to the technical field of pathology. The preparation method comprises the following steps: reticular fiber dyeing: dyeing reticular fibers in section tissues by a silver staining method; and performing immunohistochemical staining: performing labeling staining on AE1 / AE3 protein in the section tissue by a non-histochemical staining method. According to the section obtained by the preparation method, two kinds of dyeing can be presented on one tissue section, the cancer, sarcoma and cancer and sarcoma expression effects are improved, the identification difficulty is reduced, and precise tumor typing is facilitated.

The present invention discloses a honeysuckle U6 promoter, and its nucleotide sequence is shown in SEQ ID NO.1, SEQ ID NO.2 or SEQ ID NO.4. The present invention cloned 4 LjU6 promoters from the honeysuckle genome, connected the LjU6 promoter to the pBI121 vector carrying the β-glucuronidase gene, transformed tobacco leaves by Agrobacterium transient transformation, and subjected the leaves to GUS histochemical staining, and the staining results showed that 3 of the promoters had transcriptional activity, among which LjU61-F1 had the highest transcriptional activity and the shortest length. The honeysuckle U6 promoter of the present invention is suitable for the honeysuckle CRISPR / Cas9 editing system, and can be used to initiate the expression of sgRNA guide sequences. The present invention lays a foundation for the establishment of honeysuckle CRISPR / Cas9 genome editing technology.

The utility model discloses an anti-leakage immunohistochemical staining machine heating structure, which comprises a heating block and a flow guide block connected with the heating block, the heating block is arranged below a slide, a top slot and a bottom slot are arranged at the joint of the heating block and the flow guide block, and the flow guide block is arranged in the top slot. An opening of the top opening groove faces the direction of the slide, an opening of the bottom opening groove deviates from the direction of the slide, and a liquid drainage hole is formed in the flow guide block and located in the outer side of the top opening groove and the outer side of the bottom opening groove. The bottom groove and the flow guide plate are additionally arranged between the heating block and the flow guide block, liquid such as reagents overflowing from the slide is guided and collected, the liquid such as the reagents is prevented from permeating into the heating film to damage the heating film, the problem of corrosion or stripping of the heating film is avoided, reliable and efficient heat transfer between the heating film and the supporting body is guaranteed, and the service life of the heating film is prolonged. The equipment failure rate is reduced, and the service life of the immunohistochemical staining equipment is prolonged.

The invention discloses a gastric cancer tumor immune microenvironment typing method and system and application in prognosis prediction. The method comprises the following steps: carrying out multiple immunohistochemical staining on a patient tissue sample and obtaining a full-view image, segmenting a tumor region and a matrix region in the image, identifying CD3 + T cells and counting, and calculating the CD3 + T cell density of the two regions and the CD3 + T cell ratio of the matrix region. Typing according to a threshold value type 3: the tumor region with CD3 + T cell density greater than or equal to 1000 cells / mm < 2 > is an immune inflammation type; the tumor region CD3 + T cell density is lt; 1000 cells / mm < 2 > and the ratio of CD3 + T cells in a matrix region is 1t; 0.18 is an immune desert type; the tumor region CD3 + T cell density is lt; and if the ratio of CD3 + T cells in a matrix region is greater than or equal to 0.18, the cells are in an immunoexclusion type. The method can provide risk stratification information (data prompt) related to OS / PFS in vitro.

The utility model relates to the technical field of immunohistochemical staining, and discloses an immunohistochemical staining reagent shelf, which comprises a support plate and a position adjusting structure movably connected below one side surface of the support plate, and further comprises a rack plate fixed above the position adjusting structure, a gear is rotatably connected above one side surface of the support plate, and the rack plate is fixed above the position adjusting structure. Mounting plates are arranged above the surfaces of the opposite sides of the supporting plates, and connecting shafts are fixed to the surfaces of one sides of the mounting plates; the reagent bottle taking device has an adjusting function, when a worker needs to take the reagent bottle on the upper layer, the positions of the reagent bottles on the upper layer and the lower layer can be exchanged, the worker can adjust the positions of the reagent bottles according to actual requirements, the reagent bottles needing to be frequently used are always located at the positions where the reagent bottles are easier to take, and the working efficiency is improved. Different reagent combinations may be needed for different experiment items, and the positions of the reagent bottles can be easily adjusted according to experiment requirements through the reagent rack with the adjusting function, so that the experiment can be smoothly carried out.

The invention belongs to but is not limited to the technical field of gene analysis, and particularly relates to an activity analysis method of a tea tree F3 'H promoter, which comprises the following steps: S1, cloning F3' HP1 and a 5'end fragment deletion promoter sequence thereof, and constructing an expression vector; s2, analyzing the cis-acting element of the F3 'HP1 and the 5'end fragment of the F3' HP1 without the promoter sequence; s3, carrying out GUS histochemical staining and GUS enzyme activity determination on the instantly converted tobacco; and S4, response of the F3 'H to low-temperature treatment. The result shows that the promoter sequence (F3' HP1) of the upstream 1806bp of the F3 'H gene' ATG 'is obtained through cloning, and four 5' fragment-deleted F3 'H gene promoter sequences, namely F3' HP2, F3 'HP3, F3' HP4 and F3 'HP5 are obtained, and the sequence lengths are 804, 479bp, 195 and 154bp respectively, the F3' HP1 sequence also has response elements related to low temperature, light, gibberellin and the like besides basic elements of TATA-box and CAAT-box, and the transcriptome data result shows that the F3 'H responds to low temperature.

The invention belongs to the field of wheat immature embryo genetic transformation, and discloses a method for constructing and optimizing a wheat immature embryo vacuum infiltration transient transformation system, which comprises the following steps: by taking a wheat variety Fielder immature embryo pollinated for 14 days as a material, optimizing vacuum infiltration pressure and treatment times, and utilizing GUS histochemical staining, conductivity determination and qRT-PCR gene expression analysis, and establishing a wheat immature embryo vacuum infiltration transient transformation system. And evaluating the relationship between the transformation efficiency and the cell damage degree. According to the method disclosed by the invention, a transformation system combining 0.025 MPa with four times of vacuum infiltration treatment is established by a synergistic mechanism of low pressure of 0.025 MPa and four times of infiltration, so that the GUS positive rate of the wheat Fielder immature embryo is increased to 62.8%, and an effective technical support is provided for wheat gene function analysis, CRISPR editing and molecular design breeding.

Diagnosis based on antigen-specific detection can be performed by other types of tissue staining with lower cost and wider availability.SOLUTION: The present disclosure relates to techniques for obtaining composite immunohistochemistry (IHC) images from histochemical stain images. Among other things, aspects of the present disclosure are directed to accessing an input image depicting a tissue section that has been stained with at least one histochemical stain, generating a synthetic image by processing the input image using a trained generator network, and outputting the synthetic image. The composite image depicts a tissue section that has been stained with at least one IHC stain directed to a first antigen, and the techniques may also include receiving an input based on an expression level of the first antigen from the composite image and / or generating a value based on the expression level of the first antigen from the composite image.SELECTED DRAWING: Figure 15A