26 results about "Immunolabeling" patented technology

The invention discloses an intestinal cancer immune response graph neural network prediction method, a medium and equipment, and the method comprises the steps: collecting pathological image information, immunodetection information and basic clinical information, extracting a tissue space distribution characteristic spectrum through a deep convolutional network, and constructing a graph neural network model in combination with an immunomarker expression characteristic matrix; spatial interaction characteristics of a tumor microenvironment are modeled by adopting a graph attention mechanism, finally a treatment response probability, an optimal treatment opportunity and an adverse reaction risk are predicted through a multi-task learning framework, and a clinical decision report containing a prediction response curve, a risk early warning threshold and a treatment time window suggestion is output. According to the method, through multi-modal data fusion and spatial interaction modeling, accurate prediction of intestinal cancer immunotherapy response is realized, and a more comprehensive reference basis is provided for clinical decision making.

The invention belongs to the technical field of biological detection, and particularly relates to a composite system for MCP-1 magnetic particle chemiluminescence detection, application and a product. The composite system comprises a coupling buffer solution and a labeling buffer solution, the coupling buffer solution is composed of MES, NaCl, PEG 4000, PVP K30, Tween-20, glycerin and water, and the pH value of the coupling buffer solution is 5.5-6.5; the immunolabeling buffer solution is composed of boric acid, CAPS, NaCl, cane sugar, PEG 6000, Triton X-100 and water, and the pH value of the immunolabeling buffer solution is 9.0-10.0. The sensitivity of the kit containing the composite system can reach 2.31 pg / mL; the linear relation in the concentration range is good; the accuracy is high; the repeatability is high. The method can be used for researching the pathogenesis of the MCP-1 signal channel participating in diseases, screening MCP-1 inhibition drugs and qualitatively and quantitatively detecting the MCP-1.

The invention discloses a rapid degreasing method for a biological tissue sample, which comprises the following steps: sequentially carrying out fixing, tissue dehydration, azeotropic degreasing, tissue rehydration and other treatments on the sample, and the degreasing solution is composed of alcohols and hydrocarbons according to a mass ratio of 1: 1-1: 2. According to the rapid degreasing method provided by the invention, the lipid in the tissue is efficiently extracted through mixed azeotropy of the alcohol and hydrocarbon organic reagents, so that the tissue is transparent and transparent; the problem of poor degreasing in tissues is solved by utilizing the high permeability characteristic of the micromolecular organic reagent; the dissolving capacity to phospholipid and cholesterol is improved by mixing organic reagents; through azeotropy, the degreasing efficiency is improved, the degreasing time is shortened, the internal permeability effect of the tissue is improved, and internal and external uniform permeability of the tissue is realized; by adjusting the components of the organic reagent, boiling rapid degreasing at low temperature is realized, and the retention of a fluorescence signal is improved; the tissue treated by the method is transparent and small in deformation, a fluorescent protein signal can be maintained, and the immunofluorescence staining effect can be improved.

To provide a method for providing information associated with an immune phenotype for a pathological slide image carried out by at least one computer device.SOLUTION: The method can include: a step of acquiring information associated with an immune phenotype for one or more regions of interest in a pathological slide image; a step of generating an image indicating the information associated with the immune phenotype on the basis of the information associated with the immune phenotype for the one or more regions of interest; and a step of outputting an image indicating the information associated with the immune phenotype.SELECTED DRAWING: Figure 1

The application belongs to the technical field of biological detection, and particularly relates to a composite system for MCP-1 magnetic microparticle chemiluminescence detection and application and product. The composite system comprises a coupling buffer and a labeling buffer; the coupling buffer is composed of MES, NaCl, PEG 4000, PVP K30, Tween-20, glycerol and water, and pH is 5.5-6.5; the immune labeling buffer is composed of boric acid, CAPS, NaCl, sucrose, PEG 6000, Triton X-100 and water, and pH is 9.0-10.0. The kit containing the composite system has a sensitivity of 2.31 pg / mL, good linear relationship in a concentration range, good accuracy and high repeatability. The kit can be used for researching the pathogenesis of diseases in which MCP-1 signal pathways are involved, screening MCP-1 inhibiting drugs and qualitatively and quantitatively detecting MCP-1.

The present invention relates to a method for the in vitro characterization and quantification of proliferative cells in an epidermal fragment, comprising the following steps: 1) Cultivating, on a support, the epidermal fragment, 2) Detaching the epidermal fragment from the support, 3) Carrying out immunolabeling on the epidermal fragment, 4) Acquiring images of the basal layer of the epidermal fragment over its entire surface, 5) reconstructing an image representing the entire basal layer of the epidermal fragment, 6) Selecting the immunolabeled nuclei of the proliferative cells by image processing, 7) Quantifying cell division by counting the nuclei by image analysis. The present invention also relates to a use of the method for evaluating the effect of a product or an active ingredient on epidermal cell regeneration. Figure 1

The invention provides a sensor containing double identification elements and a preparation method and application thereof, and belongs to the technical field of sensors. The sensor at least comprises an electrode, a bacterial blotting membrane arranged on the surface of the electrode and a vancomycin composite nano-enzyme probe, and the sensor containing the double recognition elements can be applied to detection of complex actual samples. In conclusion, the sensor containing the double recognition elements, provided by the invention, does not need any immunolabeling, so that the detection cost is reduced; the detection sensitivity is high, and detection can be realized on the single cell level; the method can be applied to detection of complex actual samples, does not need complex pretreatment, and is simple in preparation process and high in actual application value.

The utility model discloses an immunolabeling instrument convenient to adjust reagent amount, including refrigeration bottom cabinet, equipment top box and perfusion device, refrigeration bottom cabinet top center position is provided with the rotary connection disc, refrigeration bottom cabinet top far away from the cabinet door side is connected with the connection side plate, equipment top box is connected with the connection side plate top, and the perfusion device is connected with the equipment top box. A reagent supplementing tank is connected to the side, away from the rotary connecting disc, of the connecting side plate, a liquid inlet is formed in the top of the reagent supplementing tank, the filling device is connected to the bottom of the equipment top box and comprises a filling needle and a connecting hose, and the filling needle is connected to the bottom of the connecting hose. An injection hose is arranged in the connecting hose, one end of the injection hose is connected with a perfusion needle, a tracer agent can be automatically injected, the injection dosage of the tracer agent can be automatically controlled, and the immunofluorescence labeling technology is more automatic and controllable.

The invention belongs to the technical field of cell fluorescence detection methods and equipment, and particularly relates to a cell fluorescence microscopic image scanning and target cell marking and screening device and application. Comprising an optical imaging system, an image acquisition system and an image processing system, a to-be-detected sample is irradiated by exciting light with different wavelengths emitted by an excitation module, fluorescence images under multiple excitation conditions are acquired by an imaging camera, and fluorescence response acquisition of target cells is realized by combining natural light images acquired by a preview camera; the image processing system carries out interception, indexing and layer superposition on the fluorescence signal to form a multi-light-source superposed image; the multi-channel fluorescence characteristic of the target cell can be efficiently and accurately extracted, rapid screening of the target cell, the to-be-determined target cell and the non-target cell is realized, and the multi-channel fluorescence characteristic extraction method is suitable for the fields of tumor detection, immunolabeling and the like.

A device for immunolabeling comprising one or more solution containers with product drains through which fluid can flow; one or more valves capable controlling fluid flow through the product drains; and a sample container, wherein fluid flowing through the product drains flows into the sample container.

The invention belongs to the technical field of molecular biomedicine, and particularly relates to a urinary tract epithelial cell marker and application thereof in diagnosis of urinary tract epithelial cell carcinoma. The molecular marker is cytoplasm thyroid hormone binding protein CRYM, and an immunochemical staining experiment proves that the cytoplasm thyroid hormone binding protein CRYM has the potential to serve as a single immunomarker to be used for distinguishing normal urinary tract epithelial cells / reactive hyperplastic urinary tract epithelial cells and urinary tract epithelial cancer cells. Therefore, the kit plays a key identification role in histopathologic diagnosis or urine noninvasive screening of urothelial carcinoma, and provides important technical support for clinical noninvasive diagnosis.

The present invention discloses a high-throughput cell imaging method and application based on fluorescent barcoded immunolabeling. A fluorescence barcoded immunolabeling signal amplification method based on the HCR reaction is used to construct ADC complexes corresponding to various proteins in cells. The antibody end recognizes the target, and the DNA end triggers the HCR reporting signal. Multiple proteins in cells are simultaneously incubated and labeled for fluorescence imaging. The artificial + computer image intelligent recognition combination is used for multi-color differentiation of cells to distinguish and quantify multi-protein fluorescence imaging, which is used for multi-protein imaging detection and analysis in vitro tumor cells. The present invention realizes simultaneous imaging of multiple proteins in cells based on fluorescence reporting signals under different combinations, solves problems such as cumbersome operation and cell denaturation caused by repeated imaging, and at the same time combines artificial and image intelligent recognition to achieve the differentiation and quantitative analysis of each protein, which has important application value in the fields of multi-target and multi-omics analysis.

The immunolabeling instrument comprises an immunolabeling instrument body, a mechanical arm and an agent adding assembly, the immunolabeling instrument body, the mechanical arm and the agent adding assembly are all installed on the upper end face of a shell, the mechanical arm is installed on one side of the immunolabeling instrument body, and the agent adding assembly is installed on the other side of the immunolabeling instrument body. An agent adding assembly is installed on the side, away from the immunolabeling instrument body, of the mechanical arm and comprises a lifting mechanism and a placement table, and a bearing is arranged on the contact face of the placement table and the shell. According to the immunolabeling instrument convenient to add the antibody, the medicament adding device is separated from the immunolabeling instrument body, then a reagent bottle is automatically moved between the medicament adding device and the immunolabeling instrument body through the mechanical arm, and then the function of conveniently adding the antibody is achieved; antibodies can be added into one group, markers can be added into the other group, multi-functionalization is achieved, manual intervention is conducted in the process, and then the accuracy of the measurement result is ensured.

Disclosed is an integrated or combined device for a saliva test for at least two analytes comprising a sampling member, an intermediate section and an immunolabeling section comprising a plurality of antibodies for the specific binding of the analytes and a plurality of second antibodies for detecting the analytes, which analytes are the histidine-rich protein (HRP) and the lactate dehydrogenase (LDH) protein of Plasmodium sp..

The utility model relates to the technical field of medical equipment, in particular to a full-automatic cell immunolabeling instrument which comprises a cover plate and a replacement assembly, the replacement assembly is arranged at the top of the cover plate and comprises a test tube placing plate, the test tube placing plate is movably connected to the top of the cover plate, a placing groove is formed in the top of the test tube placing plate, and the test tube placing plate is arranged in the placing groove. And a liquid containing test tube is arranged in the containing groove, fixing plates are fixedly connected to the two sides of the test tube containing plate, first threaded holes are formed in the tops of the fixing plates, and threaded rods are in threaded connection with inner cavities of the first threaded holes. According to the full-automatic cell immunolabeling instrument, by installing the replacement assembly, after all reagents are added, a worker rotates an adjusting knob to screw out a threaded rod from the interiors of a first threaded hole and a second threaded hole, then a lifting handle lifts a test tube placement plate from a cover plate, different reagents are replaced, the worker does not need to take down all test tubes, and the operation is convenient. Therefore, the marking efficiency is improved.

The embodiment of the invention provides a blood leukocyte precise separation method combining immune density and a centrifugation technology. The blood leukocyte precise separation method comprises the following steps: performing multicolor immunofluorescence labeling on leukocyte subgroups in a blood sample; performing flow cytometry analysis on the marked sample, and establishing an initial multicolor fluorescence compensation matrix for the current sample individual; dynamically adjusting and generating a corrected compensation matrix of the individual specificity based on the deviation degree of the initial compensation matrix in a sample group reference range; carrying out association mapping on a specific physical sorting interval which is determined after the signal recalculation and the enclosure and is rich in the target leukocyte subgroup and a density gradient centrifugal separation condition; and directly carrying out density gradient centrifugation operation on the blood sample subjected to immunolabeling by utilizing the association mapping. According to the scheme of the embodiment of the invention, the high-purity specific leukocyte subgroup can be efficiently separated from a complex blood sample on the premise of keeping high cell activity and flux.

The application relates to the technical field of biomedical imaging, and discloses a novel brain tissue transparentization and immunolabeling whole organ imaging method, which comprises the following steps: S1: collecting a whole organ sample; S2: recovering antigens in the whole organ sample tissue; S3: digesting the whole organ sample tissue; S4: blocking the whole organ sample tissue; S5: incubating the whole organ sample tissue with a primary antibody, and specifically combining the antigens in the whole organ sample tissue with the primary antibody; S6: incubating the whole organ sample tissue with a secondary antibody, combining the primary antibody with the secondary antibody in the whole organ sample tissue, and cooperating the primary antibody and the secondary antibody for immunolabeling; S7: dehydrating the whole organ sample; S8: transparently processing the whole organ sample; and S9: scanning the whole organ sample by using a microscope, and processing to obtain a three-dimensional image of the immunolabeled whole organ sample tissue. The application can improve the labeling efficiency, shorten the three-dimensional imaging cycle of the whole organ tissue, and has low cost.

The invention relates to the technical field of in-vitro diagnosis, in particular to a kit for detecting an allergen-specific IgE (Immunoglobulin E) antibody. The kit comprises an anti-interference agent used for being mixed with a to-be-detected sample, an immunolabelled allergen, a peroxidase compound capable of being combined with an immunolabel and catalyzing color development of a substrate, and the substrate capable of being catalyzed by peroxidase to develop color, the anti-interference agent is prepared from the following components in parts by weight: 3 to 6 parts of polystyrene microspheres, 12 to 18 parts of L-glucoside and 6 to 10 parts of casein. The kit provided by the invention can effectively reduce false positive and false positive results, so that the accuracy of the detection result is improved.

The application discloses an intestinal cancer immune response graph neural network prediction system, medium and equipment, through collecting pathological image information, immune detection information and basic clinical information, using a deep convolution network to extract a tissue spatial distribution feature map, combining an immune marker expression characteristic matrix to construct a graph neural network model, adopting a graph attention mechanism to model spatial interaction characteristics of a tumor microenvironment, finally predicting a treatment response probability, an optimal treatment time and an adverse reaction risk through a multi-task learning framework, and outputting a clinical decision report containing a predicted response curve, a risk early warning threshold and a treatment time window suggestion. Through multi-modal data fusion and spatial interaction modeling, the application realizes accurate prediction of the intestinal cancer immunotherapy response, and provides a more comprehensive reference basis for clinical decision-making.

Methods and systems for sorting a candidate immune checkpoint inhibition (ICI) recipient as a responder or non-responder, by inferring cell classifications generated from immunophenotyping and inputting the inferred cell classification into a machine learning model trained to predict an outcome with training data comprising at least: (a) a plurality of cell classifications, wherein the plurality of cell classifications includes, for each ICI recipient of a plurality of ICI recipients, at least two cell classifications corresponding to different respective timepoints, (b) one or more indications of the outcome for the plurality of ICI recipients at respective timepoints; outputting an outcomes candidate ICI recipient; and sorting the candidate ICI recipient as a responder or a non-responder based at least on the predicted probability of outcome. Also provided herein are methods and systems for monitoring response to ICI therapy.

This invention discloses a method for the separation and detection of exosomes in whole blood using a microfluidic chip. The method includes preparing a microfluidic chip with a specific structure for whole blood exosome separation and a PEGylated microfluidic chip with fishbone-like protrusions for capturing whole blood exosomes. Simultaneously, a viscoelastic solution is prepared and the whole blood sample is pretreated. The pretreated whole blood sample is injected into the microfluidic chip for whole blood exosome separation, and size-dependent separation of exosomes is achieved using a viscoelastic flow field. After concentration, a whole blood exosome concentrate is obtained. Exosomes are immobilized with paraformaldehyde, perforated, and biotinylated. After capture, a BODIPY polymer dot-coupled secondary antibody is prepared, combined with a primary antibody to complete exosome immunolabeling. After localization, multi-channel imaging using a total internal reflection fluorescence microscope is performed. This method achieves efficient separation and highly specific labeling detection of whole blood exosomes, improving the separation recovery rate and purity.

The present invention provides a labeling method for high-resolution imaging of large biological tissues. Specifically, the present invention provides a method for uniform and controllable immunolabeling of tissue samples. This method simultaneously addresses the three issues of specific labeling, uniform labeling of large samples, and controllable contrast intensity, enabling specific structural labeling for high-resolution imaging of large biological tissues.

The present invention generally relates to method for forming an immunolabeling complex, the immunolabeling complex comprising a labeled monovalent biotin-binding composition. The invention also related to the use of the antibody-reporter molecule complex for detecting a target in a sample.

The utility model discloses an immunolabeling instrument capable of conveniently protecting and limiting a labeled sample, which relates to the technical field of immunolabeling instruments and comprises a machine body and a placing component mounted above the inner wall of the machine body. The placing assembly comprises a first conveying base, a pipe placing assembly, a second conveying base, a first motor chamber, a conveying limiting support and a detection assembly, the pipe placing assembly is installed above the first conveying base, and the second conveying base is installed on the left side of the first conveying base; a first motor chamber is arranged on the side, away from the first conveying base, of the second conveying base, a conveying limiting support is arranged at the center of the first motor chamber and the center of the first conveying base, and a detection assembly is arranged above the conveying limiting support. The placing assembly enables the test tubes to be placed, the test tubes are protected and classified through a placing chamber and a partition baffle, and the test tubes placed in a placing box are limited through a moving limiting part.

The utility model discloses an immunolabeling instrument convenient for classified storage, which relates to the technical field of medical equipment and comprises a labeling box and a storage structure, the side edge of the labeling box is provided with the storage structure, and the storage structure comprises a bottom plate, a fixed base, a clamping component, a positioning box, a conveying component and a placing component, the device comprises a bottom plate, a fixed base is installed below the bottom plate, a clamping assembly is installed above the fixed base, a positioning box is arranged on the right side of the clamping assembly, a conveying assembly is arranged on the side, away from the clamping assembly, of the positioning box, and a placing assembly is arranged on the right side of the positioning box. Wherein the test tubes are placed in the placing assembly, and the height space in the storage structure is utilized, so that when the test tubes are placed, the test tubes can be continuously placed according to the height, the test tubes do not make contact with one another, and meanwhile, the test tubes can be classified according to placing trays.