26 results about "Tissue morphology" patented technology

This invention discloses a wired dual-modal imaging capsule endoscopy system, belonging to the field of medical device technology. The system includes a capsule module, a transmission and control module, a dual-modal imaging module, and a signal analysis module. The capsule module is used to achieve 360° circumferential scanning imaging of the esophageal mucosa. The transmission and control module ensures stable transmission of optical and electrical signals and precise control of capsule movement. The dual-modal imaging module integrates an optical coherence tomography submodule and a photoacoustic imaging submodule to acquire tissue morphology information and microvascular distribution information, respectively. The signal analysis module processes the dual-modal signals. This invention achieves three-dimensional high-resolution integrated imaging of the esophageal mucosa without the need for exogenous labeling agents, significantly improving the detection accuracy of early esophageal cancer and precancerous lesions.

The invention relates to a method for rapidly transparentizing biological tissues, which comprises the following steps: carrying out degreasing treatment on a fixed biological tissue sample by using a degreasing solution which is an aqueous solution containing tetrahydrofuran and tetrahydroxypropyl ethylenediamine (EDTP); the degreased biological tissue sample is subjected to refractive index matching with a refractive index matching solution, transparency treatment is completed, and the refractive index matching solution is an aqueous solution containing urea, iohexol and EDTA. According to the method for transparentizing the biological tissue, visceral organs can be transparentized quickly, tissue shrinkage is not caused, and the tissue form is reserved. In addition, the method for transparentizing the biological tissue according to the invention has the advantages of fluorescence protection, morphology retention and high biological safety.

The application provides an application of Buyang Huanwu Decoction in the preparation of a product for treating high altitude pulmonary injury of qi deficiency and blood stasis syndrome, and belongs to the technical field of medicines. After the prescription of the Buyang Huanwu Decoction is decocted with water, the decoction is used for treating high altitude pulmonary injury, can reduce pathological injury of lung tissues, reduce thickening of alveolar walls, make lung tissue structure clearer, and close to normal lung tissue morphology; meanwhile, the decoction can enhance exercise capacity, reduce asthenia symptoms of high altitude pulmonary injury of qi deficiency and blood stasis syndrome, and effectively treat high altitude pulmonary injury of qi deficiency and blood stasis syndrome.

The application discloses an application of Campanula medium in treatment of perimenopausal depression, and a method is as follows: Campanula medium is added into 10 times of distilled water in weight, decocted for 1 h and filtered, residues are added with 8 times of distilled water, and then decocted for 1 h and filtered, and filtrates are combined, and concentrated into 1 g / mL of medicinal liquid according to medicinal material, so that Campanula medium medicinal liquid is obtained. According to the experimental result, Campanula medium can improve the depression and anxiety behavior of PMD model mice. Campanula medium can improve the hippocampus tissue morphology and structure of the PMD model mice, increase the neuron Nissl body abundance of the hippocampus, promote the ER-BDNF-TrkB path, improve the monoamine neurotransmitter level, correct the HPA axis hyperactivity, and thus improve the depression behavior.

The invention discloses a digestive tract tumor biopsy sampling device convenient for puncture and sampling for medical oncology, which relates to the technical field of tumor biopsy sampling and comprises a biopsy device, a limiting seat and a base. According to the alimentary canal tumor biopsy sampling device convenient to puncture and sample for the medical oncology, tumor tissue can be accurately contained through the sampling groove, fragmentation of a tumor tissue sample is avoided, it is guaranteed that the tissue sample meets the tissue form needed by detection, the sample quality is guaranteed, the outer sleeve needle covers the sampling groove after sampling, the sample can be fixed and cannot fall off, and the sampling efficiency is improved. The tissue is prevented from remaining in the body or being polluted during withdrawing, and meanwhile the risks of bleeding and tissue damage in the puncture process are reduced; enough samples can be obtained through one-time operation, the repeated puncture frequency is reduced, the operation time is shortened, the pain of a patient is relieved, and the operation efficiency is improved; and the modularized puncture needle design allows medical staff to quickly adjust the puncture depth according to individual differences, and the flexibility is high.

The invention relates to the technical field of gene expression prediction, and discloses a spatial gene expression prediction method based on a pathological image and a multi-modal heterogeneous graph. According to the method, a multi-modal heterogeneous graph containing a target slice edge, a cross-slice edge and a reference slice edge is constructed, and intra-slice space continuity and a cross-slice sharing mode are fused; designing a complementary mask strategy to generate an enhanced view, and enhancing the adaptability of the model to data defects; by means of CNDA bidirectional attention and CNAP multi-head pooling modules, precise cross-slice knowledge migration is achieved; and optimizing the multi-dimensional constraint model through a comprehensive loss function. According to the method, the association rule of tissue morphology and gene expression can be effectively captured, and the space consistency and accuracy of prediction are improved; the robustness and generalization of the model are enhanced, and data of different diseases and platforms are adapted.

The application discloses a medical tissue morphology image analysis information processing method and device, equipment and medium, and relates to the technical field of information processing. The method comprises the following steps: obtaining a target medical image to be analyzed, extracting an effective tissue region from the target medical image, and dividing the effective tissue region into a plurality of image instance blocks; inputting each image instance block into a pre-trained tissue feature extraction model, outputting a tissue morphology feature vector corresponding to each image instance block, performing attention scoring on each tissue morphology feature vector through an instance detection module of a multi-instance learning network, and selecting a target image instance block containing a pathological feature region according to the attention scoring; and performing aggregation processing on a target tissue morphology feature vector corresponding to the target image instance block, generating and outputting an aggregated global feature representation. The method automatically identifies a key region in a medical image and generates a visual global feature representation.

The invention relates to the technical field of medical image processing, in particular to a gastrointestinal anastomotic stoma healing real-time monitoring image analysis system which comprises an image acquisition module, a preprocessing module, a feature extraction module, a manifold construction module, a curvature analysis module, a geodesic prediction module, a risk assessment module and a decision support module. The system collects a continuous image sequence of a gastrointestinal anastomotic stoma area, extracts multi-dimensional features such as oxyhemoglobin saturation distribution, tissue morphology and blood vessel distribution, expresses a healing state as a low-dimensional manifold based on a differential geometry theory, detects abnormality through multi-scale curvature analysis, predicts a healing trajectory by using a geodesic theory, and performs multi-branch prediction. Risk grading and early warning are achieved, the healing state of the gastrointestinal anastomotic stoma can be objectively and quantitatively evaluated, nonlinear dynamic characteristics of the healing process are effectively captured, and potential abnormal healing is predicted 48-96 hours in advance.

Features are disclosed for imaging block and slice samples using an imaging system. The imaging system can link the images by identifiers associated with the block and slice samples. The imaging system can train a machine learning algorithm based on correctly linked images. In some embodiments, the trained machine learning algorithm may include an image analysis module or a convolutional neural network. The imaging system can use the trained machine learning algorithm in order to determine a confidence score of a match between the block and the slice samples. The trained machine learning algorithm can use features of the block and the slice samples such as shape and tissue morphology to determine whether the samples match. In some embodiments, when the confidence score is below a certain threshold, the imaging system can alert a user that the samples may not match.

The invention provides a pathology agent system with reasoning ability. The pathology agent system comprises a pathology host agent, a pathology physician agent, a pathology section viewer, a pathology multi-mode large language model and a pathology report agent. The pathology host agent is responsible for coordinating a diagnostic pathology analysis process and strategically planning a pathological section area for detailed examination; the pathology main agent plans and coordinates the plurality of pathologist agents to investigate different pathological section tissue areas at the same time according to the formulated preliminary pathological diagnosis hypothesis and strategy; and each pathologist intelligent agent interacts with the pathological section viewer and the pathological multi-mode large language model, analyzes a specific pathological section area and feeds back a result to the pathologist intelligent agent. According to the invention, different pathological section areas can be studied step by step in a layered manner, and important background information such as tissue morphology and peripheral features can be captured based on analysis of a full pathological section level.

The application provides a pharmaceutical composition for protecting intestinal injury caused by chemotherapy and use, and belongs to the field of medicines. The application also provides a pharmaceutical composition for protecting tight junction injury of intestinal mucosa caused by chemotherapy, which is prepared from raw medicinal materials in the following proportions by weight: 1-3 parts of astragalus polysaccharide and 1-3 parts of sanguisorba officinalis saponin I. The astragalus polysaccharide combined with the sanguisorba officinalis saponin I can not only improve the immunity of the body after chemotherapy, but also protect the intestinal mucosa injury caused by intestinal chemotherapy drugs, and solves the problem that there is no specific drug for intestinal injury after chemotherapy on the market. The drug efficacy test proves that the astragalus polysaccharide combined with the sanguisorba officinalis saponin I has a synergistic effect on protecting the tight junction injury of intestinal mucosa caused by chemotherapy. The composition of the application can protect the intestinal injury of pets caused by chemotherapy or diarrhea of young animals, maintain the integrity of the intestinal tissue morphology and structure, enhance the immunity of young animals, reduce economic losses, and reduce the use of antibiotics.

The application discloses an immune regulation pharmaceutical effect analysis method based on a concentrated pill of psammochloa and astragalus, which comprises the following steps: raw material extraction, animal model construction, multi-dimensional detection and data statistics. The raw materials of psammochloa and astragalus are weighed according to a specific ratio, and then are prepared into extract by ethanol decoction and concentration. After the experimental animals are grouped and administered intragastrically, the individuals are screened by the four oxygen pyrimidine modeling. The immune organs are separated, weighed, and the index is calculated. The contents of various cytokines in serum and liver tissue are detected by the ELISA method. The tissue morphology, lymphocyte proliferation and protein expression are observed by HE staining, MTT method and immunofluorescence method. The expression of key signal pathway proteins is detected by electrophoresis and other steps after the total protein is extracted, and statistical analysis is carried out. The method is systematic and comprehensive, the result is accurate and reliable, and a scientific basis is provided for the immune regulation pharmaceutical effect evaluation of the concentrated pill.

This invention discloses a destaining solution for DAB immunohistochemical staining. The destaining solution comprises a functionalized ionic liquid with a volume concentration of 10%-40% and a co-solvent of 60%-90%. The functionalized ionic liquid is a carboxyl-functionalized imidazole ionic liquid and / or a hydroxypyridine ionic liquid. The co-solvent is a glycerol solution. The destaining solution of this application uses a functionalized ionic liquid as the core active component, which can rapidly and thoroughly remove DAB chromogenic products. The ionic liquid has good biocompatibility, and when combined with a specific concentration of glycerol co-solvent, it can create a moisturizing environment, effectively preventing tissue drying and detachment. The mild pH environment and the selection of a neutral protease ensure that the tissue morphology and antigen activity are not damaged, facilitating subsequent counterstaining operations.

The invention relates to the technical field of rehabilitation medicine and intelligent rehabilitation engineering, and discloses a self-adaptive constant-speed rehabilitation training method based on tissue morphology and electrophysiological signal double feedback. According to the method, muscle group tissue morphology and electrophysiological signals are synchronously collected through high-resolution ultrasound and surface myoelectricity, and muscle structure-function joint representation is constructed through multi-modal time sequence alignment; an adaptive impedance adjusting model is used for dynamically generating individualized constant-speed training resistance, and a joint angular speed closed-loop feedback correction track is combined, so that it is ensured that the resistance is accurately matched with the muscle state under full-range constant-speed movement. Rehabilitation normal form transformation from experience driving to physiological feedback driving is achieved, and training accuracy, safety and individual suitability are improved.

The invention provides a construction method of a spinal cord injury animal model for maintaining the integrity of subarachnoid space, which comprises the following steps: adopting a mammal with spinal cord injury, clamping and closing the opening of the dura mater of the mammal, dripping biological glue in alignment with the clamped and closed position, and suturing after the biological glue becomes frost and the dura mater is adhered together. The invention also provides application of the spinal cord injury animal model for maintaining the integrity of the subarachnoid space in research on motor function, nervous tissue recovery or tissue morphology recovery of animals after spinal cord injury. The application shows that after experimental spinal cord injury is caused, the motion function and histomorphological recovery of a mouse can be improved by tightly suturing the dura mater.

This invention relates to the field of medical image processing technology, specifically to a method and system for processing immune scoring data based on deep learning. The method includes: acquiring an immunohistochemically stained whole-section image to be scored; dividing the whole-section image into non-overlapping image blocks; performing multi-level spectral separation and decomposition on each image block to construct a spatial density distribution map of immune cells in the whole-section; segmenting the tumor central region and invasion edge region on the spatial density distribution map according to tissue morphology gradients, and extracting the corresponding local density distribution. This invention, by inverting the effective chemotaxis coefficient and effective proliferation coefficient of the reaction-diffusion coupling system from the spatial density distribution map of immune cells, can directly quantify the degree of mechanistic deviation of immune cell chemotaxis and proliferation capacity in the tumor microenvironment, overcoming the limitations of traditional methods that rely solely on static cell density counting, and giving the scoring a clear biophysical meaning.

The invention discloses a wrist strap restraining tool with intelligent pressure monitoring and adjusting functions, and belongs to the technical field of medical care equipment. The wrist strap restraining tool comprises a wrist strap body, a pressure sensor array, an air bag, an air pressure adjusting system and a core control module. A processor in the core control module is configured to obtain real-time pressure distribution data collected by the pressure sensor array; constructing a tissue shape situation field representing the compression state of the wrist tissue; comparing the maximum form risk potential value in the tissue form situation field with a preset tissue steady state threshold value; and when the maximum form risk potential value exceeds the tissue steady state threshold value, the air pressure adjusting system is driven to carry out differential adjustment on the air bag so as to execute potential field equalization regulation and control, and therefore the maximum form risk potential value is reduced. According to the method, the tissue shape situation field is constructed and is subjected to active equalization regulation and control, so that the tissue damage risk caused by local pressure concentration can be avoided.

Features for imaging a block sample and a slide sample using an imaging system are disclosed. The imaging system can link images by identifiers associated with the block sample and the slide sample. The imaging system can train a machine learning algorithm based on correctly linked images. In some embodiments, the trained machine learning algorithm can include an image analysis module or a convolutional neural network. The imaging system can use the trained machine learning algorithm to determine a confidence score of a match between the block sample and the slide sample. The trained machine learning algorithm can use features of the block sample and the slide sample, such as shape and tissue morphology, to determine whether the samples match. In some embodiments, the imaging system can alert a user that the samples can not match when the confidence score is below a certain threshold.

The invention belongs to the technical field of biology, and particularly relates to application of bacteroides vulgaris in preparation of medicine for preventing and treating sepsis injury, the sepsis injury is kidney injury caused by sepsis, the survival time of mice with sepsis can be obviously prolonged after pretreatment of bacteroides vulgaris, the survival rate of the mice is increased, and the application of bacteroides vulgaris in preparation of medicine for preventing and treating sepsis injury is achieved. In addition, the traditional Chinese medicine composition can obviously improve mouse kidney tissue morphological lesions, inhibit CLP-induced mouse kidney tissue pathological morphological injuries, obviously reduce serum BUN and Creatinine contents and slow down mouse CLP-induced sepsis kidney injuries, and a new medicine is provided for preventing and treating sepsis injuries.

The invention discloses an ovarian endometriosis glandular epithelial organ and interstitial cell co-culture model and a construction method thereof. The construction method comprises the following steps: S1, constructing an ovarian endometriosis cyst glandular epithelial organ; s2, constructing a 3D culture body of the ovarian endometriosis cyst interstitial cells; and S3, digesting the glandular epithelium organ, mixing the glandular epithelium organ with the interstitial cells in proportion, and embedding the glandular epithelium organ in matrigel for three-dimensional co-culture. According to the invention, a patient-derived ovarian endometriosis glandular epithelial organ and interstitial cell co-culture system is established for the first time, the model and a primary focus are highly homologous in tissue morphology and biomarker expression, and the bionic degree is high; it is clear that the number of glandular epithelial organs is the largest when the ratio of epithelial cell clusters to interstitial cells is 1: 2, the vitality of the glandular epithelial organs in a group with the ratio of 1: 2 to 1: 4 is remarkably improved, and the technical bottlenecks that an existing co-culture model is fuzzy in proportion, and the cell viability is difficult to maintain are solved.

The application provides application of cell balls in construction of human breast cancer immunohistochemical quality control products, and belongs to the technical field of pathological examination. The application solves the problems of scattered distribution of tumor cells in the immunohistochemical quality control products in the prior art, lack of morphological structure, and significant difference from human breast cancer tissue samples to be detected; the quality control sheet prepared by the application is more stable, can ensure that the tissue morphology on all used quality control sheets remains consistent, the quality control sheet can be mass-produced, and does not exist ethical problems, can provide breast cancer ER, PR, HER2 and Ki67 immunohistochemical quality control products for daily detection of clinical pathology departments, simplifies the procedure of setting immunohistochemical controls in clinical work, and only a single wax block can meet the quality control needs of human breast cancer immunohistochemical detection, is convenient and stable.

This invention discloses a novel use of M1 (Leonurus glucuronide, ZYZ-488), the main glucuronide conjugate metabolite of leonurine, in the preparation of drugs for preventing and treating endometrial damage and / or intrauterine adhesions caused by mechanical curettage. M1 promotes endometrial regeneration, remodeling, and restoration of endocrine function by increasing serum prostaglandin E2 (PGE2) and / or leukemia inhibitory factor (LIF) levels, while simultaneously restoring serum estradiol (E2) and / or progesterone (P4) levels to normal physiological ranges. It also significantly increases endometrial thickness, the number and regular arrangement of glands, improves stroma density, and enhances tissue morphology remodeling. This invention overcomes the technical bias that Phase II metabolites are typically considered inactivated forms, as well as the thrombotic risks of existing estrogen drugs (EVs) and the strong irritation and insufficient long-term protection of the parent compound SCM-198. It provides a safe, mild, stable, and suitable oral formulation for long-term use, offering a novel and effective drug option for the prevention and treatment of clinical endometrial damage and intrauterine adhesions.

Disclosed herein is a computing system for performing a tumor ablation procedure comprising a processor configured to obtain image data, monitor changes in tissue morphology during treatment with ultrasound-based imaging techniques to determine whether tissue has been treated, and to generate user interface data for rendering a user interface comprising an ultrasound image corresponding to the image data and comprising indicia of whether the tissue has been treated. The processor may also determine a position of a serosa from the image data, and the user interface may comprise a serosa tracker superimposed on an ultrasound image, the serosa tracker corresponding to the position of the serosa. The ultrasound image may include a serosa representation, a portion of which obscured by a shadow effect caused by a portion of an imaging device in the ultrasound image, can be constructed by the processor.

The invention discloses an information processing system, method, equipment and medium for acquiring an endoscope image, relates to the technical field of medical instruments, is applied to a computer device, and comprises a magnetic field data acquisition module for acquiring magnetic field intensity data acquired when a capsule endoscope moves; the change direction determination module is used for constructing an intensity change quantity sequence based on the magnetic field intensity data and determining a magnetic field intensity change direction attribute according to the intensity change quantity sequence; the organizational form determining module is used for determining the organizational form according to the magnetic field intensity change direction attribute; wherein the organization form is a non-mirror image form or a mirror image form; and the graph acquisition module is used for generating a target examination track based on the tissue form, controlling the capsule endoscope to move according to the target examination track and acquiring an endoscope image. According to the scheme, the endoscope image can be obtained more perfectly.

The invention discloses an intestinal bacterium for improving semen quality and application thereof, and belongs to the field of microbial technology and biological medicine. In order to solve the problem that in the prior art, specific probiotics are not used for improving male reproductive injury induced by high fat diet, the invention provides a method for applying the allobacter faecalis strain (A.s) or an inactivated form (P-A.s) of the allobacter faecalis strain (A.s) to the male reproductive injury. Animal experiments show that compared with a high fat diet model group, supplementation of A.s or P-A.s can significantly inhibit abnormal weight growth, improve testis index, improve sperm density, vitality, movement speed and testicular testosterone level, and can effectively repair tissue form damage of testis and epididymis and abnormal sperm ultrastructure. Wherein the improvement effect of the inactivated bacterium form P-A.s is particularly prominent.

The present application belongs to the technical field of digital pathological image processing, and particularly relates to an innovative pathological image virtual staining method based on self-supervision. By introducing a task-independent self-supervised pre-training stage before the virtual staining task, the encoder can autonomously learn strong robust features which are highly sensitive to the structure of the tissue morphology and invariant to the staining style and registration error from a large number of unannotated or weakly annotated pathological images. Combined with the strong encoder of the self-supervised pre-training, a multi-scale decoding method is designed. This method can fully integrate the pathological features captured at different levels by the encoder and enhanced by pre-training, and finally generate images in multiple scales in cooperation, thereby significantly improving the structural fidelity, detail clarity and visual authenticity of the generated images.