545 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 discloses a monoclonal antibody BY017 combined with African swine fever virus P30 protein and application of the monoclonal antibody BY017. The invention provides an IgG antibody which is composed of a light chain and a heavy chain. CDR1, CDR2 and CDR3 in the heavy chain variable region are sequentially shown as the 47 to 54 , the 72 to 79 and the 118 to 126 in SEQ ID NO: 1; cDR1, CDR2 and CDR3 in a light chain variable region are sequentially as shown in the 49 to 60 , the 78 to 80 and the 117 to 124 in SEQ ID NO: 3. The invention also protects the application of any one of the IgG antibodies in preparation of products. The product has the functions that the product is used for being combined with an African swine fever virus P30 protein fragment; the antibody is used for binding African swine fever virus P30 protein; the antibody is used for binding African swine fever virus. The IgG antibody provided by the invention can be used for multiple purposes of western blot, immunohistochemistry, flow cytometry, ELISA (Enzyme-Linked Immunosorbent Assay) and the like, and can be used as an important tool for ASFV detection and structural analysis of P30 protein of ASFV detection.

The invention provides an automatic tumor budding identification method fusing pathological staining migration and YOLO target detection. The method comprises the following steps: training Hamp by using a CUT model; a staining migration model is established from the E image to the immunohistochemical image, and the staining migration model is utilized to carry out Hamp; e, converting the dyed full-width pathological section into a cytokeratin dyed full-width pathological section; and performing tumor budding detection on the generated full-width pathological section dyed by the cytokeratin by using a TB-YOLO model improved on the basis of YOLOv10. According to the method, the CUT is combined for pathological image staining migration, the IHC image generated through TB-YOLO analysis is used for tumor budding detection, meanwhile, accurate translation and detection of positive signals are ensured, richer diagnosis information is provided for pathologists, the diagnosis accuracy is improved, the pathological examination cost of patients is reduced, and the purpose that only Hamp is used for diagnosis is achieved. And E, the tumor budding is accurately detected by the dyed image, so that the comparability of medical images in different dyeing modes and the applicability of a cross-dyeing method are improved.

The invention discloses a pharmaceutical composition for reversing pancreatic cancer gemcitabine drug resistance and application of the pharmaceutical composition, and belongs to the technical field of biological medicine. The composition comprises a generic FGFR inhibitor delatinib and gemcitabine, the concentration of the delatinib is 25 to 50 mg / kg, and the concentration of the gemcitabine is 20 to 30 mg / kg. By inhibiting an FGFR2 / FGFR3 signal channel and reducing the expression of FGFR protein in drug-resistant cells, the chemosensitivity of gemcitabine is synergistically enhanced, the apoptosis induction rate is increased by more than two times, and the synergic index (CI) is less than 1. In-vitro and nude mouse transplantation tumor experiments prove that the composition can significantly inhibit the proliferation of gemcitabine drug-resistant pancreatic cancer cells. The Gemcitabine drug-resistant pancreatic cancer drug can be used for preparing a drug for treating Gemcitabine drug-resistant pancreatic cancer with high FGFR3 expression, patients are screened through immunohistochemistry or gene sequencing, intravenous injection or oral administration is adopted, dosage forms comprise freeze-dried powder injection, capsules or tablets, and a new strategy is provided for pancreatic cancer drug-resistant treatment.

The method and system for evaluating the curative effect of hepatocellular carcinoma based on immune microenvironment characteristics are high in accuracy and reliability of evaluating the curative effect of hepatocellular carcinoma. The method comprises the following steps: (1) preparing a sample; (2) carrying out multiple immunohistochemical staining; (3) image acquisition and analysis; (4) analyzing spatial distribution characteristics; (5) multiplying the input image voxel signal numerical value by the weight vector of the convolution kernel, transmitting the multilayer convolution kernel, and finally obtaining a calculation result output by each network; and (6) establishing a prediction model: based on the spatial distribution characteristics and clinical characteristics of immune cells, constructing the prediction model by using the positive rate of CD8 + PD-L1 + and CD103 + CD8 + cells in the total area and the number of CD103 + cells within 30 microns around tumor cells so as to predict the immunotherapy curative effect of the HCC patient.

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 the technical field of plants, in particular to a paraffin embedding method for reducing plant RNA degradation. In the plant paraffin embedding method provided by the invention, a stationary liquid for fixing plant tissues is prepared from absolute ethyl alcohol and acetic acid in a volume ratio of (2-5): (1-4); buffer I used for dehydration is absolute ethyl alcohol and n-butyl alcohol with the volume ratio of (1-3): (1-2); buffer II used for waxing is n-butyl alcohol and low-temperature paraffin wax with the volume ratio of (1-3): (1-2), and the melting point of the paraffin wax is 20-50 DEG C. According to the method, low-temperature paraffin with the melting point of 20-50 DEG C is adopted, and a reagent for paraffin embedding and a paraffin embedding process are adjusted, so that the plant section with relatively high RNA integrity and relatively high tissue structure integrity is obtained. The paraffin embedding method provided by the invention is suitable for different types of molecular biology experiments of space transcriptome, immunohistochemistry, immunofluorescence and the like.

The invention discloses application of a cell surface adhesion molecule CD22 as a target spot in preparation of drugs for treating spinal cord injury related diseases. The change of gene expression in the glial scar formation process is represented by space transcriptome sequencing, and the specific expression of CD22 in the glial scar region is up-regulated. According to single cell sequencing, in-situ hybridization and immunohistochemistry, specific high expression CD22 of part of microglial cells in a glial scar area is found. CD22 is knocked out through a genetic means, and it is found that formation of glial scars after spinal cord injury is remarkably reduced through inhibition of CD22. Behavioral detection finds that the error rate of irregular horizontal ladders is remarkably reduced by inhibiting CD22, and fine movement recovery of hind limbs of mice after spinal cord injury is promoted. The siRNA specifically targeting CD22 is injected into the sheath, so that the expression of microglial cells CD22 is inhibited, the error rate of irregular horizontal ladders of hind limbs can be reduced, and the recovery of the fine movement function of the hind limbs of the mouse after spinal cord injury is promoted. The invention provides a new possibility for development of drugs for spinal cord injury and treatment of spinal cord injury.

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 belongs to the technical field of biomedicine, and discloses an immortalized cell line for human kidney suspected cell carcinoma as well as a culture method and application of the immortalized cell line. The immortalized cell line for the human kidney suspected cell carcinoma, disclosed by the invention, is named as a human kidney suspected cell carcinoma cell line Loya a-710 (Homo sapiens), the classification name of the Latin name of the immortalized cell line is Chromophore sensor cell carcino: Loya a-710, and the preservation number of the immortalized cell line is CCTCC (China Center for Type Culture Collection) NO: C2025123. The human kidney suspected cell carcinoma cell line Loya-710 disclosed by the invention is used as an in-vitro model to rapidly grow in tissue culture, and mitochondrial mutation characteristics, a vesicle structure and a classical immunohistochemical marker of ChRCC are reserved. The invention provides a precious tool for further research on ChRCC heredity, molecules and biological characteristics, and also provides a powerful new model for mitochondrial diseases.

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 monoclonal antibody of the glycoprotein Gn of the severe fever with thrombocytopenia syndrome virus is screened on the basis of immune repertoire sequencing, and the biological characteristics of the monoclonal antibody are identified. The method comprises the following steps: taking purified SFTSV-Gn as bait, taking virus specific B cells from an immunized female BALB / c mouse B cell bank, selecting an antibody sequence with potential binding activity by utilizing a 10 * immune repertoire sequencing method in combination with bioinformatics analysis, constructing the antibody sequence to an eukaryotic expression vector pcDNA3.4, expressing and purifying a monoclonal antibody, and identifying the biological activity of the monoclonal antibody. 14 antibodies are selected from 3544 captured B cells, functional verification shows that 12 antibodies can be combined with SFTSV-Gn glycoprotein, and the Gn-5 antibody and the Gn-7 antibody have high combining capacity; western blot, indirect immunofluorescence test and flow cytometry prove that the antibody can specifically recognize the SFTSV, the effective concentration is as low as 2 mu g / mL, and a foundation is laid for development of a rapid diagnosis reagent for the SFTSV.

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 an application of a polypeptide Apelin-13 in a medicine for treating psoriasis, in particular to psoriasis-like skin lesion. In an imiquimod (IMQ) cream induced mouse psoriasis model, intraperitoneal injection of Apelin-13 can significantly reduce scale, erythema and skin thickness, and can inhibit proliferation of epithelial spine cells. HE staining and immunohistochemical staining are carried out on the skin tissue of an experimental mouse, and the result shows that Apelin-13 can reduce the expression of the psoriasis marker protein K17, the thickness of the surface layer of the back side skin of the experimental mouse and the downward extension of a spinous layer. Experimental mouse serum ELISA (enzyme-linked immunosorbent assay) detection results show that the Apelin-13 can be used for down-regulating IL-17A (interleukin-17A) which is highly expressed in psoriasis. The polypeptide Apelin-13 can be used as a medicine for treating psoriasis, especially a medicine for treating psoriasis-like skin lesion.

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 trigeminal neuralgia treatment method, and relates to the technical field of trigeminal neuralgia treatment. The direct effect of the M2 on the proinflammatory and pain induction characteristics of the Schwann cells can play an important role in the multi-aspect analgesic effect of the M2; the microenvironment around nerves can be changed by increasing m < 2 > m macrophages after SHED-CM, so that NP is cured; immunohistochemical analysis shows that the number of p near-end side CD206 + F4 / 80 + macrophages of qualified thiocyanate is remarkably increased through sheet-CM treatment, however, TNF-alpha + S100beta + proinflammatory Schwann cells and TNF-alpha + F4 / 80 + M1 macrophages are remarkably reduced after sheet-CM treatment.

The invention provides an HER2 immunohistochemical pathological image full-automatic quantitative diagnosis method and device and a readable storage medium, the method comprises a foreground tissue segmentation algorithm and an intensity segmentation algorithm, foreground tissue segmentation is based on a Yov8 model, intensity segmentation is based on a PIDNet model, and multi-scale two-stage iteration training is adopted. Through the steps of image screening processing, data labeling, model training and the like, a foreground tissue area can be accurately segmented, the intensity can be subdivided, and meanwhile diagnosis result verification of a pathologist is introduced. According to the method, the defects of a traditional manual film reading and image segmentation method can be overcome, high-precision tissue segmentation and efficient full-automatic quantitative diagnosis are achieved, and the method has wide application prospects in the fields of tumor diagnosis, medicine research and development and the like and has the advantages of being high in automation degree, high in robustness, good in expandability and the like.

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 present invention discloses a quality control method and a quality control product for immunohistochemical staining. The quality control method comprises the following processes: obtaining an animal or a commercially available organ or tissue, making a quality control wax block with the organ or tissue, slicing the quality control wax block to obtain a quality control section, wherein the quality control section comprises at least two parts with different proliferating cell antigen densities; synchronously performing immunohistochemical staining on a human sample to be detected and the quality control section, respectively obtaining a pathological image of the human sample to be detected after immunohistochemical staining and a quality control image of the quality control section; extracting proliferating cell antigen indexes of at least two parts with different proliferating cell antigen densities from the quality control image; comparing the proliferating cell antigen indexes of each part with their corresponding proliferating cell antigen standard indexes respectively to judge the quality of the immunohistochemical staining. The present invention can evaluate the quality of immunohistochemical staining more accurately, objectively, comprehensively, qualitatively and quantitatively.

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.