421 results about "Immunome" patented technology

The invention discloses a breast cancer immunohistochemical index and typing prediction method and system. The prediction method comprises the following steps: acquiring a breast ultrasound image and a breast magnetic resonance image of a patient; performing preprocessing and quality control on the mammary gland ultrasonic image and the mammary gland magnetic resonance image; performing breast lesion area segmentation by adopting a deep learning model to obtain segmented lesion areas; based on the segmented lesion area, extracting multi-modal radiomics characteristics of the breast ultrasonic image and the breast magnetic resonance image; fusing the multi-modal radiomics characteristics of the breast ultrasound image and the breast magnetic resonance image, constructing a machine learning model, and performing immunohistochemical index prediction to obtain an immunohistochemical index prediction result; and performing breast cancer molecular typing analysis according to the immunohistochemical index prediction result. By fusing the multi-modal image information, the tumor features can be described more comprehensively, and the accuracy of biomarker prediction is improved.

The invention provides a tumor patient clinical test matching system and method based on a large language model and an OCR technology, and is applied to the field of medical data processing. The method comprises the following steps: analyzing clinical data and test information, processing an unstructured text, and generating structured clinical feature data through context association analysis; key data is extracted and subjected to double verification correction, and structured data supplementary information is generated; enhancing the structured clinical feature data and supplementary information based on a multi-modal processing assembly line module, extracting an image quantitative index, analyzing an immunohistochemical result, and generating a comprehensive matching score; through a rule engine and semantic similarity calculation, item-by-item comparison of patient features and entry and exhaust conditions is realized, and a preliminary matching result is generated; edge case misjudgment is corrected through context-aware multi-round reasoning, sorting is adjusted in combination with clinical test priority weights, and an optimized clinical test matching list is generated; and generating a clinical test matching report based on the data.

The invention provides a breast cancer HER2 immunohistochemical digital slice automatic interpretation method, device and equipment and a storage medium. Relates to the technical field of digital pathological image analysis. Acquiring a full-slice image, automatically identifying an external contrast area and a tissue area through a multi-task head real-time instance segmentation model, and segmenting an ROI (Region of Interest) area of tumor cell aggregation; extracting image blocks by adopting a fixed sliding window based on the ROI region, and constructing a double-branch multi-task feature extraction model containing a backbone network: realizing HER2 expression pattern classification by an image block classification head, and outputting a continuous protein expression intensity quantized value by a dyeing intensity numerical head through regression analysis; and establishing a slice-level interpretation model, integrating the classification results and the intensity quantized values of all the image blocks, and outputting an automatic HER2 interpretation result. According to the invention, end-to-end analysis from cell-level characteristic quantification to slice-level diagnosis is realized, and an objective and quantifiable intelligent interpretation scheme is provided for HER2 immunohistochemical evaluation.

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.

Disclosed are novel pharmaceutical, animal feed compositions and methods of treating non-human animals comprising at least one component selected from the extract(s), fraction(s), active compound(s) and phytochemical(s), or mixtures thereof, derived from non-woody plants of the genus Hesperaloe. Animal feed compositions may comprise a basal animal feed and water soluble solids extracted from Hesperaloe and comprising at least one saponin. The water soluble solids may comprise from about 5 to about 30 wt % saponin. The compositions of the present invention can be used for the treatment of non-human animals, such as poultry and more particularly for preventing and treating coccidiosis. An embodiment provides an immunological composition useful for inducing the production of antibodies to an antigen in a non-human animal comprising an antigen, preferably a coccidia, and a saponin composition extracted from Hesperaloe. The saponins extracted from Hesperaloe biomass may comprise 25(27)-dehydrofucreastatin, 5(6),25(27)-disdehydroyuccaloiside C, 5(6)-disdehydroyuccaloiside C, furcreastatin and yuccaloiside C.

The invention relates to the field of image analysis, in particular to a colon cancer lymph node metastasis risk prediction method and system based on image analysis. The method comprises the following steps: acquiring a pathological section scanning image, carrying out layer-by-layer downsampling and feature reconstruction, and generating pathological section topological features; carrying out adaptive clustering analysis and multi-parameter fusion evaluation on the basis of the pathological section topological features to obtain independent migration evaluation values of individual tumor cells; performing tumor metastasis branch analysis according to the independent migration evaluation value, and constructing a metastasis branch path distribution diagram; extracting an immunohistochemical staining image of a patient to obtain immune cell space distribution data; and performing multi-region lymphatic metastasis simulation and metastasis risk situation prediction based on the immune cell spatial distribution data and the metastasis branch path distribution diagram to obtain a final metastasis risk assessment result. According to the method, the lymph node metastasis risk is accurately and efficiently analyzed, and the credibility of a pathological analysis result is improved.

The invention relates to the technical field of antibodies, and provides an anti-CD45 antibody and application thereof, the antibody comprises at least one of the following CDRs: a heavy chain variable region CDR: an amino acid sequence of SEQ ID NO: 1-3 or a conservatively modified form thereof; and a light chain variable region CDR: SEQ ID NO: 4-6 or an amino acid sequence in a conservative modification form thereof. The antibody or the antigen binding fragment thereof can efficiently and specifically recognize CD45, can effectively detect CD45, and can be used for immunohistochemistry exemplarily.

The invention belongs to the technical field of medical diagnosis, and discloses a quantum multicolor immune digital pathological diagnosis analysis system, which comprises the following steps: acquiring high-resolution digital images of an immunohistochemical or immunofluorescence slice and a slide, and analyzing multicolor signal distribution in the images to obtain a quantum chromatographic image set; pixel-level color separation and intensity quantization are carried out on the quantum chromatographic image set, and a quantum intensity index set of each pixel is generated; performing multi-target color overlay analysis and post-translational modification protein specificity evaluation on the quantum intensity index set to construct a multi-color modification index set; identifying a single cell boundary and a multi-cell community based on the multicolor modification index set, and extracting a cell morphological parameter and a spatial adjacency relation to obtain a cell quantum analysis set; performing consistency correction and traceable recording by applying an automatic quality control mechanism, and generating a digital diagnosis report; the accuracy of accurate qualitative and quantitative analysis of immunohistochemistry and immunofluorescence is greatly improved.

The invention relates to the technical field of antibodies, and provides an anti-CD45 antibody and application thereof, the antibody comprises at least one of the following CDRs: a heavy chain variable region CDR: an amino acid sequence of SEQ ID NO: 1-3 or a conservatively modified form thereof; and a light chain variable region CDR: SEQ ID NO: 4-6 or an amino acid sequence in a conservative modification form thereof. The antibody or the antigen binding fragment thereof can efficiently and specifically recognize CD45, can effectively detect CD45, and can be used for immunohistochemistry exemplarily.

The invention relates to the technical field of immune repertoire sequencing, in particular to a sequence data analysis method and device for biological system state modeling and a storage medium. According to the method, high-throughput sequencing data of B / T cell receptors are acquired, nonlinear gain correction and V-J gene combination preference feature extraction are performed, structured feature nodes are constructed, features are coded by using a Transform model, a system state vector is generated in combination with weighted average pooling, adversarial training is introduced to realize feature decoupling, and signal interference among functional categories is inhibited. And calculating a multi-dimensional immune intensity score based on the system state vector, and quantifying immune response active degrees of different function categories. According to the method, high-sensitivity and multi-dimensional parallel modeling and dynamic evaluation of the immune system state are achieved, the method is suitable for large-scale population immune monitoring and system biological research, and the analysis capacity and application value of immune group library data are remarkably improved.

The invention discloses DLL3 serving as a cervical neuroendocrine cancer treatment target and application of the DLL3, and belongs to the technical field of biology. The invention discloses specific expression of a DLL3 gene in cervical neuroendocrine carcinoma (NECC) and application of the DLL3 gene as a therapeutic target. Single cell sequencing and immunohistochemistry find that a DLL3-NOTCH1 / 2 signal axis is activated in NECC, and functional experiments prove that the DLL3-NOTCH1 / 2 signal axis drives malignant progression by promoting tumor proliferation and inducing T cell depletion. In addition, the invention also constructs an NECC organ-TILs co-culture model, and verifies the synergistic effect of the DLL3 targeted drug AMG757 combined with EP chemotherapy. The invention provides new target selection and theoretical basis for precise diagnosis and treatment of NECC, and has important clinical transformation value.

The invention discloses pyruvate carboxylase (PC) serving as a biomarker for detecting endometriosis and application of the pyruvate carboxylase (PC) to treatment of the endometriosis. The biomarker can be used for detecting the expression level of PC in an endometrial tissue sample through an immunohistochemical method, and when the IHC score is greater than or equal to 4, a subject is judged to be at a high risk of endometriosis or suffered from the endometriosis. Meanwhile, the invention provides an application of drugs (including specific siRNA, ZY-444, octyl gallate and the like) for inhibiting PC expression in treatment of endometriosis, and a corresponding treatment method. The invention provides a new biomarker, target spot and scheme for detection and treatment of endometriosis, and has important clinical application value.

The invention discloses an anti-CD3D antibody and application thereof.The antibody comprises a heavy chain variable region and a light chain variable region, the amino acid sequence of CDR-H1 of the heavy chain variable region is shown as SEQ ID NO: 4, the amino acid sequence of CDR-H2 of the heavy chain variable region is shown as SEQ ID NO: 5, and the amino acid sequence of CDR-H3 of the heavy chain variable region is GDL; the amino acid sequence of the CDR-L1 of the light chain variable region is as shown in SEQ ID NO: 6, the amino acid sequence of the CDR-L2 of the light chain variable region is as shown in SEQ ID NO: 7, and the amino acid sequence of the CDR-L3 of the light chain variable region is as shown in SEQ ID NO: 8. The anti-CD3D antibody is a rabbit monoclonal antibody, the obtained antibody is high in titer, clear in specific positioning in immunohistochemical staining and free of non-specific background staining, the antibody is wide in application, and the antibody can be used in pathological immunohistochemical staining experiments and can also be used in Western blot and flow cytometry experiments.

The invention discloses a liquid cell product, a preparation method thereof and a preserving fluid for preparing the liquid cell product, and belongs to the technical field of immunodetection. The dendritic polymer is creatively added into the preserving fluid for preparing the liquid cell product, the cell morphology in the liquid cell product can be improved, and a thermal acceleration test proves that the preserving fluid can maintain the cell morphology in the liquid cell product for a long time. When the preservation solution is used for preparing the liquid cell quality control product for immunodetection, quality control spots with complete circles can be formed after sample application on slides made of different materials, it can be obviously judged that cells in the liquid cell quality control product are dispersed very uniformly after immunohistochemical staining, and the preservation solution has very high application value.

The invention discloses a multi-immunohistocyte image segmentation method, and relates to the technical field of image processing, and the method comprises the steps: obtaining a to-be-segmented multi-immunohistocyte image, and carrying out the image focusing processing of the multi-immunohistocyte image, so as to obtain a target multi-immunohistocyte image containing a cell internal region and a background region; performing uniform sampling processing on the target multi-immune tissue cell image to form a prompt point set; carrying out mapping processing on the prompt point set through a pre-training cell image segmentation model, and carrying out feature extraction on the multi-immune tissue cell image to obtain a prompt embedding vector and an image embedding vector; and performing mask processing of global semantic features and local detail features on the prompt embedding vector and the image embedding vector, generating a segmentation mask corresponding to each prompt point, integrating the segmentation masks corresponding to the prompt points, and outputting a cell image segmentation result of the multiple immune tissue cell images. And accurate identification of the multi-scale cells is realized.

The invention provides an immunohistochemical method for antibody joint detection and a kit thereof, and particularly relates to the technical field of medical detection.The method comprises the steps that fresh endometrial lymph node tissue is subjected to frozen section, and a continuous section A and a continuous section B are obtained; 10% neutral buffer formalin is used for fixation; blocking by using a peroxidase blocking agent; respectively and independently dropwise adding a CK19 antibody and an MUC1 antibody on the continuous slice A and the continuous slice B; dropwise adding an HRP direct standard signal enhancer; after the DAB develops color, TBS is terminated, hematoxylin is used for redyeing, dehydration is carried out through absolute ethyl alcohol, and sheet sealing is carried out; the immunohistochemical method kit comprises a CK19 antibody, an MUC1 antibody, an HRP direct standard signal enhancer, a peroxidase blocking agent, a DAB developing solution and a TBS cleaning solution. The kit is used for rapid diagnosis of endometrial lymph node micro metastasis, the whole process only needs 15 minutes, and antigen repair is not needed.

The invention relates to the technical field of biomedical image processing, and discloses a multi-fluorescence immunohistochemical image intelligent analysis method based on deep learning. The method comprises the following steps: acquiring image data through image acquisition equipment, and performing data integrity verification, format conversion and the like to obtain a standard image data set; performing noise removal and brightness equalization preprocessing on the image based on a preset rule, and extracting image features by using a deep learning model; and finally carrying out region segmentation and object identification according to the features. According to the method, full-process automation of multiple fluorescence immunohistochemical images from collection to analysis is realized, and the accuracy, efficiency and reliability of image analysis are effectively improved through standardized processing, adaptive preprocessing and deep learning feature extraction and analysis of image data; powerful technical support is provided for biomedical research and clinical diagnosis, and the method has important application value.

The invention relates to the technical field of antibodies, in particular to antigen peptides of human PP1 alpha protein and Thr320 site phosphorylated protein of the human PP1 alpha protein, and a preparation method and application of an antibody of the antigen peptides of the human PP1 alpha protein and the Thr320 site phosphorylated protein. The invention provides an antigen peptide of human PP1 alpha protein and Thr320 site phosphorylated protein thereof, the antigen peptide has obvious advantages in the aspects of immunogenicity and the like, animals can be induced to generate high-level antibodies, and the generated antibodies have high specificity, affinity and titer. Based on the antigen peptide, the invention provides an anti-human PP1 alpha protein or a polyclonal antibody with phosphorylated Thr320 site thereof and a preparation method thereof, the polyclonal antibody has the characteristics of strong specificity, high affinity and high titer, and through immunoblotting and immunohistochemical verification, the polyclonal antibody can be used for preparing the anti-human PP1 alpha protein or the anti-human PP1 alpha protein or the anti-human PP1 alpha protein or the anti-human PP1 alpha protein or the anti-human PP1 alpha protein. The probe shows good specificity and sensitivity in detection of phosphorylation modification of human PP1 alpha protein and Thr320 site thereof, and has a good application prospect.

A reagent kit, staining method, and application for combining dual immunohistochemistry with elastin fiber staining. The reagent kit includes a combination of primary antibodies, consisting of anti-CK7 and anti-CD34 monoclonal antibodies from different species, such as rabbit anti-human CK7 monoclonal antibody and mouse anti-human CD34 monoclonal antibody. By selecting CK7 and CD34 as the primary antibody combination, the growth pattern of tumor epithelium can be accurately indicated, and the proliferation and thickening of alveolar septal fibrous tissue caused by tumors can be clearly revealed, as opposed to structural changes of alveoli induced by other factors. Combined with independent Victoria blue staining, the elastin fibers of the walls of arteries and veins, as well as the pleura of the lungs, can be clearly visualized, aiding in the assessment of the integrity of elastin fibers on the lung surface and in determining the extent of tumor infiltration.

The invention relates to a lung cancer organoid and peripheral blood source immune cell co-culture model and a construction method thereof. Specifically, the invention provides a construction method of a macrophage and tumor organoid co-culture model for evaluating anti-tumor activity, monocytes of autologous or allogeneic peripheral blood of a patient are induced and differentiated into high-purity macrophages in vitro, and the high-purity macrophages and lung cancer tumor organoid are subjected to three-dimensional co-culture in matrigel; the model aims at highly reducing a core interaction network of tumor cells and macrophages in TME; the dynamic change of the polarization state of the macrophage is simulated and observed; the problem that an organ-like model is incomplete due to immune component deficiency or spatial positioning distortion of an existing model is effectively solved, an experimental platform closer to the physiological state is provided for tumor immune microenvironment research, and therefore development of the tumor immune treatment field is promoted.

The invention discloses a breast cancer immunohistochemical prediction method and system fused with a magnetic resonance image. The prediction method comprises the following steps: acquiring multi-sequence magnetic resonance image data of a breast cancer patient; performing preprocessing and quality control on the magnetic resonance image data; segmenting the focus of the magnetic resonance image data; segmenting the nidus habitat area of the magnetic resonance image; image omics features are extracted from the overall tumor area and the habitat sub-areas respectively; establishing a machine learning immunohistochemical prediction model; and performing breast cancer immunohistochemical prediction according to the machine learning immunohistochemical prediction model. Through multi-scale and multi-dimensional feature extraction and machine learning modeling, accurate prediction of breast cancer molecular features is realized.

This invention discloses a breast cancer classification method based on Piezo1 expression. After obtaining tumor tissue samples from patients, the method detects the Piezo1 protein expression level using immunohistochemistry and classifies them into high-expression and low-expression types according to a validated scoring standard. This classification result guides individualized treatment, with high-expression patients recommended for treatment regimens including inhibitors of mechanotransmission pathways. By integrating tumor mechanotransmission characteristics into the clinical classification system, this invention can identify a subgroup of breast cancer driven by an abnormal mechanotransmission microenvironment that cannot be distinguished by traditional molecular classification. This not only improves and supplements the existing classification framework, making the understanding of breast cancer heterogeneity more comprehensive, but also more accurately predicts the invasiveness, metastasis potential, and poor prognostic risk of these patients.

The invention discloses application of hydrogen-rich water in preparation of a drug for treating Duchenne type muscular dystrophy, and particularly relates to the technical field of medicines.The random control experiment is adopted, homologous c57 mice serve as a normal control group, mdx mice are randomly divided into a model group and a hydrogen-rich water group, and the exercise ability is evaluated through a four-limb holding power test and a rotating bar test; detecting mouse creatine kinase by an enzyme-linked immunosorbent assay; carrying out hematoxylin-eosin, NADH-tetrazole reductase and improved Goori three-color dyeing, and carrying out cytochrome C oxidase, succinate dehydrogenase and SDH-COX combined dyeing to observe the pathological change of the skeletal muscle tissue; the invention discloses that the muscle injury condition of a Duchenne type muscular dystrophy model mouse is improved by the hydrogen-rich water through a mitochondrial protection mechanism, and the hydrogen-rich water has a relatively high application prospect and a relatively high economic value.

The invention relates to the technical field of immunology, in particular to a haemophilus parasuis disease mucosal vaccine as well as a preparation method and application thereof.The haemophilus parasuis disease mucosal vaccine comprises serum type 4 haemophilus parasuis H0040LV4 and serum type 5 haemophilus parasuis H0014LV5 which are preserved in the China Center for Type Culture Collection (CCTCC) on November 10, 2025 and numbered as CCTCC M 20252516 and CCTCC M 20252517; the bivalent haemophilus parasuis bivalent outer membrane vesicle vaccine prepared by secreting outer membrane vesicles has a good immune protection effect on serum type 4 and type 5 haemophilus parasuis, and compared with a control group, pathological changes of tissues such as lungs and livers of a vaccine immune group are obviously relieved. The vaccine has good immunogenicity, can stimulate comprehensive immune response, induce the organism to generate remarkable specific mucosal immunity, and simultaneously induce cellular immunity and humoral immunity response, and has a wide application prospect.

The invention relates to the technical field of immunohistochemical staining, and discloses an automatic scoring method and system for immunohistochemical staining results. The method comprises the following steps: performing spectral signal intelligent deconvolution processing on a multi-immunohistochemical staining image to obtain target image data; performing multi-scale context modeling on the target image data to obtain a sub-region segmentation mask; performing depth map feature extraction on the target image data based on the subregion segmentation mask to obtain a multi-dimensional image feature vector; inputting the multi-dimensional image feature vector into a mixed deep learning recognition model to carry out marker intelligent recognition to obtain a multi-marker expression state recognition result; collaborative scoring is carried out based on the multiple marker expression state recognition result, a personalized unified scoring value is obtained, cell heterogeneity analysis is carried out on the personalized unified scoring value, and an intelligent scoring report is generated. According to the invention, the problem of spectrum crosstalk in multiple staining is effectively solved, and high-precision intelligent identification of multiple immunohistochemical markers is realized.

The present application relates to the technical field of incubation bin assembly, and aims to provide an incubation bin liquid discharge device and an immunohistochemical device to solve the technical problem of low liquid discharge efficiency of the incubation bin in the prior art, which affects incubation and reaction operation. The immunohistochemical device comprises a bottom plate and an incubation bin assembled on the bottom plate, and further comprises an incubation bin liquid discharge device assembled on the bottom plate, wherein the incubation bin liquid discharge device is connected with the incubation bin in correspondence, and the incubation bin liquid discharge device comprises a transfer bin and a liquid discharge channel connected at one end of the transfer bin, the other end of the liquid discharge channel is provided with a liquid inlet, and the liquid inlet is used for butting against a waste liquid pipe at the bottom of the incubation bin; a quick liquid discharge device is connected on the liquid discharge channel or the transfer bin, and the quick liquid discharge device is used for sucking the transfer bin to quickly suck the waste liquid in the waste liquid bin into the transfer bin.

The invention relates to a specific antibody aiming at CD228 protein and an antigen binding fragment thereof, which are used for detecting and treating various tumors, such as melanoma, mesothelioma, colorectal cancer and the like. The antibody binding fragment is helpful for diagnosis and treatment of cancers through specific binding with CD228. The invention further comprises antibody drug conjugates (ADCs) which bind a drug to an antibody through a linker, so as to improve the therapeutic effect and reduce the influence on normal cells. Meanwhile, nucleic acids encoding the antibodies or antigen-binding fragments thereof are provided to produce recombinant antibodies or fragments. Besides, the invention also provides a kit which is used for laboratory research, clinical diagnosis and treatment effect monitoring, is beneficial to determining whether tissues or cells express CD228 or not, and provides a new strategy for personalized and precise treatment of cancers.

The present application provides a CD4 helper T cell epitope fusion peptide, its encoding nucleic acid and an immune composition comprising the same. The epitope fusion peptide comprises a cytomegalovirus epitope. The epitope fusion peptide provided by the present application can greatly improve the cellular immune response level of the target immunogen, especially a weak immunogen, and is an effective means to overcome the immune system's immune tolerance to antigens, especially tumor antigens or infection-related antigens, and is suitable for efficiently enhancing the efficacy of vaccines.

The application discloses a B cell immune repertoire antibody sequence feature analysis and specific screening method and related equipment, which can be applied to the technical field of data processing. According to the application, after the antibody sequencing sequence is subjected to germ line comparison and recognition to obtain corresponding first sequencing Fv sequence and germ line Fv sequence, the first sequencing Fv sequence is subjected to gene integrity filtering and structure integrity filtering, clonotype division and root node sequence reconstruction to obtain a second clonotype collection, and then a first lineage forest is constructed, and according to the second sequencing Fv sequence, the second clonotype collection or the first lineage forest, sequence feature analysis in multiple dimensions is carried out, so that the antibody sequence features can be analyzed from multiple dimensions such as sequence quality, sequence abundance, mutation degree, mutation preference and aggregation degree, the filtered BCR sequence has high affinity, and according to the sequence feature analysis results in multiple dimensions or the first lineage forest, a visualized graph is generated, so that relevant personnel can view the sequence features.

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.