1003 results about "Pathogenesis" patented technology

The invention discloses an AI-based traditional Chinese medicine dialectical auxiliary diagnosis method and system and a medium thereof, and relates to the technical field of intelligent auxiliary diagnosis, and the method comprises the steps: collecting physiological monitoring data, tongue condition data and pulse condition signals of a patient, obtaining patient symptom information, mapping the patient symptom information to a preset traditional Chinese medicine pathogenesis classification model, and generating an initial symptom feature vector; calling a knowledge base containing traditional Chinese medicine prescription rules and compatibility medication taboo, performing data space-time alignment processing and dynamic combination calculation on the initial symptom feature vector, and generating a personalized candidate prescription set conforming to the traditional Chinese medicine compatibility taboo; according to dynamic combination calculation, a solution algorithm based on a constraint satisfaction problem is adopted, and multi-dimensional association rule matching is carried out in combination with the mapping relation between syndromes and modern medical symptoms; and outputting a prescription medication recommendation scheme containing traditional Chinese medicine compatibility, dosage and decoction methods based on the candidate prescription set. The method supports the formulation of an accurate personalized diagnosis and treatment scheme, and meets the requirements of high-quality traditional Chinese medicine personalized auxiliary diagnosis and treatment.

The invention discloses a cerebral apoplexy prediction method and device based on a cerebrovascular image representation group, a medium and a product, and relates to the field of image processing, and the method comprises the steps: constructing a clinical database; according to the multi-modal image feature group data, the clinical feature data and the clinical cause typing of the patient, constructing a clinical cause typing prediction model; according to TOF-MRA, a cerebrovascular tissue segmentation model and voxel-based morphological analysis are adopted to determine cerebrovascular image features, and positioning diagnosis of a responsible blood vessel area is carried out according to the cerebrovascular image features; according to the cerebrovascular image features in the TOF-MRA, the SWI, the T1WI, the T2-FLAIR and the corresponding clinical feature data, a cerebral apoplexy recurrence risk prediction model is constructed; according to the application, the pathogenesis classification of the acute cerebral apoplexy patient can be quickly and accurately realized in a clinical scene, the responsible blood vessel can be accurately identified, and the recurrence risk prediction can be realized in the early stage of the disease.

The invention discloses a traditional Chinese medicine composition for treating autism spectrum disorder and application thereof, and belongs to the technical field of traditional Chinese medicine compositions. The traditional Chinese medicine composition is prepared from the following components in parts by mass: 4 to 10 parts of cortex cinnamomi, 4 to 10 parts of radix morindae officinalis, 4 to 10 parts of radix polygalae, 4 to 10 parts of rhizoma acori graminei, 5 to 10 parts of radix rehmanniae praeparata, 4 to 10 parts of radix angelicae sinensis, 8 to 20 parts of tortoise shell and 5 to 10 parts of herba dendrobii. From the perspective of overall compatibility, the cinnamon and the morinda officinalis in the composition can warm and tonify kidney yang, the prepared rehmannia root, the tortoise shell and the dendrobe nourish yin and tonify kidney to prevent excessive warm tonification, the angelica sinensis can enrich blood and activate blood and give consideration to spleen and stomach, the polygala tenuifolia can traffic heart and kidney, soothe the nerves and promote intelligence, and the rhizoma acori graminei can reduce phlegm, induce resuscitation and induce resuscitation. The medicines are matched with one another to jointly achieve the effects of tonifying spleen and kidney, replenishing essence and benefiting marrow, and inducing resuscitation and promoting intelligence, and the symptoms of autism are comprehensively improved from the fundamental pathogenesis of spleen-kidney deficiency and by considering pathological changes such as phlegm clogging the heart and the like.

The invention relates to the technical field of artificial intelligence medical diagnosis, and discloses a remote disease diagnosis system based on artificial intelligence driving. The system comprises five functional modules, a real-time medical data acquisition module acquires multi-modal physiological data of a patient from a remote terminal in real time, and the multi-modal physiological data comprises vital sign time sequence data, medical image data and symptom description text data; the cross-modal correlation analysis module carries out feature fusion on the data, extracts a correlation mode between modals and generates an abnormal feature data set with a weight mark; establishing a dynamic diagnosis baseline by the dynamic diagnosis baseline model, and adapting to individual physiological feature changes by updating parameters; the abnormal behavior detection module is used for comparing the real-time data with a baseline, identifying abnormal indexes and generating a marking result; the deep pathogenesis tracing module analyzes a potential disease mode and traces a pathogenesis path in combination with a patient's historical medical record. The system can optimize the remote diagnosis effect and assist clinical diagnosis and treatment.

The invention belongs to the technical field of biology, and particularly relates to an SLC44A1 gene and / or SLC44A5 gene knockout animal model as well as a construction method and application thereof. The construction method of the animal model comprises the following steps: deleting exon regions from the fourth exon region to the thirteenth exon region of the SLC44A1 gene and / or the second exon region of the SLC44A5 gene in mouse brain oligodendroglia cells in a high-efficiency manner by utilizing gene editing and a Cre-loxP recombinase system, so as to realize the knockout of a target gene. The animal model constructed by the invention can be used for researching the regulation mechanism of the choline transporters (SLC44A1 and SLC44A5) on myelin sheath formation, deeply knowing the biological functions of the choline transporters (SLC44A1 and SLC44A5), simulating the occurrence and development processes of human related diseases, revealing the pathogenesis of the related diseases, providing a new thought for prevention and treatment of brain myelin sheath dysplasia, and providing a new foundation for the prevention and treatment of brain myelin sheath dysplasia. And an effective drug or a treatment mode aiming at the disease is screened by utilizing a gene knockout animal model, so that a new choice is provided for clinical treatment of the disease.

The invention discloses intestinal bacteria and serum metabolites which can be used as biomarkers of type 2 diabetes mellitus (prediabetes mellitus (PDM), new diagnosis diabetes mellitus (NDDM) and diabetes mellitus (P2DM) after medication) in different disease stages, and application of the intestinal bacteria and the serum metabolites. Aiming at type 2 diabetes mellitus, predictive markers including staphylococcus aureus, escherichia coli, klebsiella pneumoniae, branched chain amino acids (leucine, valine and isoleucine) and the like, especially staphylococcus aureus of which the genome contains acetolactate synthase (ALS), are efficiently screened out. The type 2 diabetes mellitus marker disclosed by the invention can be used for early warning the illness risk of type 2 diabetes mellitus and guiding the adjustment of an intestinal microbial environment; the method can be used for indicating the correlation between the intestinal microbial environment and the type 2 diabetes mellitus and is used for assisting diagnosis; and drug action target research, accurate medication, pathogenesis research and the like are realized.

The invention discloses an AI syndrome differentiation and treatment model system suitable for a multi-dimensional difference environment, which comprises a data integration layer and a three-cause characteristic processing and dynamic dialectical model, and is characterized in that the data integration layer comprises outpatient service data, hospitalization data, follow-up visit data, physical characteristics, pathogenesis solar terms / five-transportation six-qi and regional medicinal material relationships; the three-factor feature processing comprises human-factor feature processing, time-factor feature processing and place-factor feature processing; the dynamic dialectical model comprises multi-modal data fusion, three-factor weight dynamic allocation and curative effect correction syndrome reasoning. The syndrome differentiation accuracy of chronic epigastric pain patients reaches 89.2%, the clinical curative effect and acceptability of a treatment scheme are improved, the average iteration period of the model is shortened to 72 h through a feedback closed-loop system, the method deeply conforms to Chinese geographical population characteristics, and the method has the advantages of being high in adaptability and good in application prospect through an environment perception-physique evaluation-dynamic syndrome differentiation three-level linkage mechanism. Precise diagnosis and treatment of one person with one prescription at once is achieved, and core technical support is provided for modernization of traditional Chinese medicine.

The invention provides an application of WNT7B in construction of a myopia animal model. Homologous genes wnt7ba and wnt7bb of the WNT7B in the zebra fish are knocked out or knocked down by applying a CRISPR / Cas9 gene editing technology, an animal model of which the eye axis length is remarkably increased, the eyeball movement frequency is remarkably reduced and the light response is reduced is obtained, and the result shows that the WNT7B is related to the high myopia. The model provides a favorable tool for pathogenesis and drug screening of high myopia, and has a good application prospect.

The invention belongs to the field of immunological detection, and provides a double-antibody sandwich ELISA kit for detecting the content of human beta-NGF. The enzyme-linked immunosorbent assay kit constructed by the invention is based on a double-antibody sandwich method, and is combined with a biotin-streptavidin signal amplification system and an enzyme developing amplification system, so that the detection sensitivity and specificity are greatly improved, and low-content samples can be accurately and quickly detected. The kit shows excellent stability and specificity and can be used for quantitatively detecting the content of beta-NGF in samples such as human serum, cell supernatant or tissue homogenate, so that an objective detection basis is provided for diagnosis, curative effect evaluation and pathogenesis research of related diseases.

The invention provides a method for constructing a chronic unpredictable negative stress model, the chronic unpredictable negative stress model and application of the chronic unpredictable negative stress model in mental disease research, and belongs to the field of brain organ in-vitro model construction. Through dual verification of a microelectrode array and single cell sequencing, an in-vitro brain organ model capable of simulating chronic unpredictable negative stress core characteristics is successfully constructed, and a potential neural network function reconstruction mechanism and a cell molecule basis of the in-vitro brain organ model are disclosed. The comprehensive research normal form breaks through the limitation of a traditional single technology platform, and an accurate and efficient innovative research platform highly related to human is provided for pathogenesis research of mental diseases, especially chronic stress related diseases such as depression and anxiety and development of novel treatment strategies.

The invention discloses application of docosapentaenoic acid or medicinal salt thereof in preparation of a medicine for preventing and / or treating systemic lupus erythematosus. The invention aims to provide novel application of docosapentaenoic acid in treatment of systemic lupus erythematosus. In view of various immune abnormalities existing in the systemic lupus erythematosus morbidity process, the docosapentaenoic acid has potential application value in the field of systemic lupus erythematosus treatment due to the effects of regulating immune cell functions and improving immune microenvironment.

A monoclonal humanized antibody or antigen-binding fragment thereof that specifically bind to the TRBV9 family of the human T cell receptor. A nucleic acid encoding the antibody or antigen-binding fragment thereof, an expression vector, a method for preparing the antibody, and use of the antibody in treatment of diseases or disorders associated with the human T cell receptor family. The generation of antibodies that can be used for treating, in particular AS, celiac disease and malignant blood diseases, the pathogenesis of which involves the TRBV9 family TCRs.

The invention discloses a traditional Chinese medicine composition for treating sarcopenia, the traditional Chinese medicine composition is prepared from six medicines of sugared ginseng, cistanche, rhizoma polygonati, poria cocos, gastrodia elata and bighead atractylodes rhizome through compatibility, the traditional Chinese medicine composition takes spleen strengthening, qi supplementing, kidney tonifying and essence replenishing as the treatment rule, syndrome differentiation treatment is carried out aiming at the spleen and kidney deficiency pathogenesis of sarcopenia, multi-target intervention on sarcopenia is achieved, and the traditional Chinese medicine composition has the advantages that the curative effect is good; the traditional Chinese medicine composition not only can quickly improve muscle strength and endurance functions, but also can continuously promote muscle mass reconstruction, and has dual effects of atrophy resistance and fibrosis resistance, and animal experiment results show that the traditional Chinese medicine composition has a remarkable curative effect on liver and kidney deficiency type sarcopenia.

The invention discloses a traditional Chinese medicine composition for preventing / treating systemic lupus erythematosus and application thereof.The traditional Chinese medicine composition is reasonably combined according to etiology and pathogenesis of systemic lupus erythematosus, pseudo-ginseng, ginseng, glossy privet fruit and syngnathus serve as monarch drugs, and the traditional Chinese medicine composition has the effects of promoting blood circulation to remove blood stasis, nourishing the liver and tonifying the kidney and directly tonifying yin deficiency of the liver and the kidney; salvia miltiorrhiza, safflower, peach kernel, American ginseng, codonopsis pilosula, prepared rhizome of rehmannia, wolfberry, mulberry and panax japonicus are taken as ministerial drugs and are matched to assist the monarch drugs and clear stasis heat, cornu cervi pantotrichum, herba epimedii, hippocampus, pericarpium citri reticulatae, polygonum multiflorum, angelica sinensis, radix paeoniae alba, rhizoma polygonati and dog kidney are taken as adjuvant and conductant drugs and assist the monarch and ministerial drugs to harmonize yin and yang, all the drugs are matched and have a synergistic effect, and the effects of nourishing kidney and replenishing essence, reinforcing qi and nourishing yin, promoting blood circulation to remove meridian obstruction, warming yang and removing stasis can be achieved. The traditional Chinese medicine can treat both symptoms and root causes, and can effectively treat systemic lupus erythematosus.

The invention relates to the technical field of rehabilitation treatment of chronic obstructive pulmonary patients, and discloses a therapeutic scheme matching method for rehabilitation treatment of chronic obstructive pulmonary patients, comprising the following steps: step 1, a data acquisition and integration module which is responsible for collecting multi-dimensional data of patients; according to the treatment scheme matching method for the rehabilitation treatment of the chronic obstructive pulmonary disease patient, unnecessary medical resource waste can be avoided, the patient can be timely and properly treated, the overall utilization efficiency of the medical resources is improved, detailed treatment information and self-management suggestions are provided for the patient, and the patient is prevented from suffering from chronic obstructive pulmonary disease. A patient can better know the illness state and the treatment process of the patient, a personalized treatment scheme is easier to accept and execute by the patient, the treatment compliance of the patient can be improved, a large amount of real-world patient data is accumulated by the system, rich materials are provided for medical research, and through deep mining and analysis of the data, the treatment compliance of the patient can be improved. Pathogenesis, treatment effect influence factors and the like can be further explored.

The invention belongs to the technical field of brain function monitoring, and discloses a three-in-one non-invasive brain function monitoring system and method, a medium, equipment and application, and the monitoring method comprises the following steps: monitoring brain oxygen saturation of a critical patient; carrying out transcranial Doppler ultrasonic measurement on intracranial blood vessel blood flow velocity and ultrasonic measurement on the inner diameter of the optic nerve sheath; monitoring a quantitative electroencephalogram of the patient; various brain function monitoring series indexes and continuous changes of the indexes along with disease evolution are obtained, the pathogenic mechanism and pathogenesis of the indexes are found in time, and primary diseases and related complications of the primary diseases are treated. According to the invention, the brain oxygen saturation can avoid too low brain oxygen or low brain oxygen for a long time and too high brain oxygen due to oxygen utilization disorder; cerebral blood flow can be monitored through a transcranial Doppler (TCD) technology to find an optimal craniocerebral perfusion pressure (CPP), and a cerebral blood flow self-adjusting function is enabled to be in an optimal state; the electroencephalogram can avoid early warning of over-sedation or abnormal discharge and the like. Through organic combination of the three, noninvasive, real-time and dynamic monitoring of critical patients is realized.

The invention provides an intelligent diagnosis and treatment method and system for teenager depression based on large model collaboration, and the method comprises the steps: constructing a remote sensing human living microenvironment and growth soft environment data set, carrying out the preprocessing and feature extraction of the data set, carrying out the space-time matching and characterization of the environment and the brain-behavior clinical data of a subject individual, and carrying out the diagnosis and treatment of the teenager depression. Individual intervention queue data and feature representation matched with the environment are collected; establishing a knowledge graph based on a large model based on the acquired multi-dimensional data; and performing intelligent diagnosis and intervention of environment-brain-behavior enhancement based on the established knowledge graph. Based on a knowledge organization system of environment-brain-behavior auxiliary diagnosis, pathogenesis evaluation and individualized intervention, an environment-brain-behavior multi-dimensional knowledge graph oriented to adolescent depression diagnosis is constructed, and based on a large-model collaborative reasoning mechanism enhanced by environment-brain-behavior multi-dimensional knowledge, the adolescent depression diagnosis is more accurate. An intelligent and precise method system is provided for diagnosis and treatment of juvenile depression, and the diagnosis and treatment level is greatly improved.

The invention belongs to the technical field of biological medicine and molecular biology, and particularly relates to application of circ0005704 and related biological elements thereof in diagnosis and treatment of recurrent spontaneous abortion with unknown reasons. Researches find that differential expression and autophagy level of ULK1 in trophoblast cells of URSA patients are increased. High-throughput transcriptome sequencing is combined with bioinformatics analysis, and it is found that miR-26a-5p is down-regulated in URSA patients, is responsible for up-regulation of ULK1 and promotes autophagy of trophoblast cells, so that occurrence of URSA is increased. Through a high-throughput transcriptional set screening strategy and dual luciferase reporter gene analysis, it is found that circ0005704 enhances the expression of ULK1 through miR-26a-5p. In a word, the research of the invention shows that the circ0005704 / miR-26a-5p / ULK1 signal axis participates in the pathogenesis of URSA by adjusting the migration of the trophoblast cells, and a new target and scientific evidence are provided for the clinical treatment of URSA.

The invention discloses a method and a system for constructing an intestinal obstruction pathogenesis identification model based on multi-phase feature fusion, which are suitable for clinical diagnosis scenes with complex intestinal obstruction types and various image expressions. The method comprises the following steps: acquiring a multi-stage CT image of a patient, performing image preprocessing and structural partitioning, extracting phase-to-phase structural consistency, identifying a pseudo-difference area and a non-focus interference area, and suppressing the characteristics of the pseudo-difference area and the non-focus interference area; and meanwhile, in combination with disease cause region difference enhancement, structure expectation template comparison and dynamic tolerance analysis, intelligent discrimination of multiple disease causes such as adhesion type, tumor type, telescoping type and the like is realized. The system has the advantages of being high in model interpretability, sensitive to negative signs and high in artifact interference resistance, and the accuracy and clinical applicability of automatic identification of ileus causes are improved.

The invention provides an anti-human TL1A monoclonal antibody as well as a related kit and a detection method thereof. The ELISA kit provided by the invention can quantitatively detect the content of TL1A in various samples such as cell culture media, is simple and convenient to operate, has high sensitivity and good specificity, can detect TL1A of different species, and has important significance in research on pathogenesis of TL1A-related autoimmune diseases, drug models and the like.

The invention provides an intelligent symptom machine distinguishing and treating system based on four diagnostic methods of traditional Chinese medicine. The system comprises a four diagnostic method information acquisition module used for acquiring multi-modal data; the multi-modal data processing module is used for preprocessing the multi-modal data; the feature fusion module is used for carrying out feature fusion on the preprocessed data, and the domain-specific reasoning core module is used for carrying out traditional Chinese medicine pathogenesis dialectical reasoning on fused features based on a thinking chain technology and outputting structured results including dialectical analysis, syndrome types, treatment rules and prescriptions; the traditional Chinese medicine knowledge graph enhancement module is used for performing verification, constraint and knowledge enhancement on the structured result and outputting a second structured result; the interpretability output module is used for outputting a diagnosis and treatment report according to the second structured result, and displaying the diagnosis and treatment report through a graphical user interface. The application utilizes a domain-specific large language model to deeply understand complex association among symptoms and infer pathogenesis behind, and generates a complete syndrome differentiation and treatment scheme conforming to traditional Chinese medicine logic; the intelligent degree is high, and reliability guarantee is provided for clinical application through integration of the traditional Chinese medicine knowledge graph.

The invention discloses a traditional Chinese medicine preparation for treating multi-system atrophic upright hypotension and a preparation method. The traditional Chinese medicine preparation is prepared from the following raw materials: ginseng, astragalus membranaceus, antler, roasted ephedra, rehmannia, radix ophiopogonis, radix paeoniae alba, rhizoma cimicifugae and pericarpium citri reticulatae viride. The traditional Chinese medicine composition has the effects of tonifying qi, warming yang, nourishing blood and yin and ascending and descending qi function, and emphasizes the effect of ascending and descending qi function in blood pressure regulation by perfecting the etiology and pathogenesis of MSA erect hypotension; the pathogenesis of the MSA erect hypotension is mainly viscera asthenia and qi and blood ascending and descending disorder, so that the treatment effect is achieved by ascending yang and nourishing yin.

The invention relates to the technical field of training models, in particular to a children pneumonia pathogenesis typing system based on a deep convolutional neural network. The system comprises a data acquisition module used for acquiring images and features in a training model; the adult comparative analysis module obtains comparative importance according to the expression deviation of the corresponding features of the children and adult pneumonia images on different causes and the expression deviation associated with the features; the clinical influence analysis module is used for obtaining clinical references through association of disease causes and clinical indexes in combination with characteristic related conditions; and the model adjustment training module comprehensively compares contribution degrees of importance and clinical reference characterization, and adjusts weight of training classification according to significant conditions of the contribution degrees in different causes to obtain a model. According to the invention, through feature comparison and extraction of children and adults and in combination with auxiliary classification features of clinical association in pathogenesis classification, classification errors caused by different growth stages are reduced, and the accuracy and robustness of a children pneumonia pathogenesis classification model are improved.

The invention belongs to the field of prevention and treatment of tilletia controversa Kuhn, and particularly relates to a tilletia controversa Kuhn effect protein g2339 and application thereof. An amino acid sequence of the Tilletia controversa Kuhn effect protein is shown as SEQ ID NO: 2. The effect protein plays an important role in the process of inhibiting plant defense reaction, and has an interaction relationship with two wheat proteins in the process of infecting wheat by Tilletia controversa Kuhn. According to the invention, the pathogenesis of Tilletia controversa Kuhn can be deeply researched, and the cultivation of the wheat variety resistant to Tilletia controversa Kuhn can be promoted.

The invention relates to the field of biomedicine, in particular to application of PXDC1 in preparation of a product for treating myocardial hypertrophy. The invention discloses the effectiveness of inhibiting PXDC1 expression in treating cardiac hypertrophy and controlling the occurrence and development process of the cardiac hypertrophy for the first time. The invention provides a novel drug target and strategy for treating myocardial hypertrophy, and the novel drug target and strategy can reduce the expression of a myocardial hypertrophy biomarker, reduce the size of myocardial cells, improve the ejection fraction and short axis shortening rate of the heart, reduce the weight ratio of the heart and relieve the degree of myocardial fibrosis. Besides, the invention clarifies the action mechanism of PXDC1 in myocardial hypertrophy, deepens the understanding of the pathogenesis of the disease, and lays an important foundation for further exploration of myocardial hypertrophy-related cytobiology and molecular biology processes.

The invention discloses a bronchial asthma symptom intelligent monitoring method and system based on multi-source data, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining multi-mode asthma data after time-space alignment; performing weighted fusion on the western medicine index, the environment index, the tongue condition index and the pulse condition index by using a preset pathogenesis mapping rule to generate an asthma pathology state vector; inputting the asthma pathology state vector into an emergency response channel, analyzing abnormal change of short-term peak flow velocity, synchronously inputting into a chronic evolution channel to track long-term change of tongue condition and pulse condition, and generating emergency response integral and syndrome integral; and superposing the emergency response integral and the syndrome integral on a time axis, and triggering risk assessment when the emergency response integral and the syndrome integral meet the time condition coincidence and the peak flow rate declines to reach an early warning threshold value. According to the method, asthma pathology state vectors are respectively input into an emergency response channel and a chronic evolution channel, so that synchronous monitoring and dynamic modeling of acute attack and chronic disease courses are realized.

The invention discloses a method for screening a Wilson disease serum exosome miRNA biomarker based on a transcriptomics technology, and belongs to the field of bioinformatics analysis of diseases. According to the invention, the effect of miRNA in WD pathogenesis is discussed by identifying serum exosome miRNA, and a potential biomarker is provided for accurate diagnosis and treatment of the disease. According to the invention, 59 DE-miRNAs are identified by analyzing the expression of differential miRNAs of WD and control group patients, and the DE-miRNAs are related to key approaches such as metabolic regulation, cancer progression, signal transduction and the like. Besides, the reliability of the key DE-miRNA, including miR-451a, miR-204-5p and the like, is confirmed through experimental verification, and the potential of the key DE-miRNA as a non-invasive biomarker is indicated. Research results provide important theoretical basis and new insight for accurate diagnosis of WD and development of potential therapeutic targets.

The application discloses a method for constructing a mouse model of atherosclerosis induced without high-fat diet, and relates to the technical field of disease model construction.The mouse model construction method provided by the application obtains a mouse model that spontaneously exhibits atherosclerosis symptoms without high-fat diet induction.The mouse model of atherosclerosis induced without high-fat diet can be used for researching the pathogenesis of atherosclerosis and screening and evaluating drugs for atherosclerosis.

The invention provides a myopia grading method driven by coupling of mechanical and morphological characteristics of corneal cells, and belongs to the technical field of myopia eye disease diagnosis and occurrence and development mechanisms based on artificial intelligence. The surface topography, Young modulus, adhesive power and other mechanical characteristics of corneal cells of patients with low, medium and high myopia are measured, corneal cell surface topography images obtained by an atomic force microscope are used as a cytoskeleton quantitative analysis data set, and edge extraction, brightness detection and multi-scale image segmentation methods are utilized to determine the surface topography of the corneal cells of the patients with low, medium and high myopia. The overall cytoskeleton distribution characteristics are quantified through the cytoskeleton region average complexity and cytoskeleton region average similarity, the method does not depend on dyeing, the tissue structure of the cytoskeleton can be evaluated more comprehensively, the method is suitable for more diversified cytoskeleton structures including complex clusters, a myopia grading model is established, and the myopia grading efficiency is improved. And a more direct cellular-level experimental basis is provided for the research on the occurrence and development mechanism of myopia.

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