84results about How to "Improving the level of diagnosis" patented technology

The invention relates to a method for realizing vector electrocardiograph, which projects the solid heart vectors on the front, horizontal, and side three planes, to form a plane electrocardiograph vector diagram, and sets the projections of several virtual lines on different angles and three plant rings, to form the liner expressed vector electrocardiograph. The virtual lines have 0-18 axles in 0-360 degrees of each plane to generate total 54 vector electrocardiographs. The invention can generate 1-78 coupled synchronous and / or selective twelve electrocardiographs, vector electrocardiograph, time electrocardiograph, steering time electrocardiograph, continuous electrocardiograph, or the like, while it can synchronously switch between one-dimension, two-dimension and three-dimension electrocardiographs.

The invention provides a prescription management application system which comprises a basic data module and a doctor workstation, wherein the basic data module comprises a traditional Chinese medicine prescription storage module and a Western medicine storage module. In the prescription management application system provided by the invention, by efficiently combining the traditional Chinese medicine prescription storage module with the Western medicine storage module, a comprehensive and standard prescription data source is provided for doctors, and the grass-roots doctors can locate traditional Chinese medicine diagnosis and corresponding Western medicine diagnosis more quickly and accurately to find out corresponding prescription, thereby improving the diagnosis level and working efficiency; the promotion and implementation of the prescription management application system provided by the invention in hospitals can sufficiently realize networked, electronic and paperless office work of medical office work and facilitate effective connection of medical treatment flows among departments as well as the standardized management of hospitals.

The invention discloses an imaging method and a device on the basis of orthogonal multi-frequency ultrasonic steady echo signal. The method uses an orthogonal frequency division multiplexing modulation type to form multi-frequency continuous baseband signals which are orthogonal with each other; the multi-frequency continuous baseband signals are modulated as multi-frequency ultrasonic continuous emission signals and sent out by an ultrasonic probe; the ultrasonic probe detects the steady echo signals which are reflected back; the steady echo signals are equivalent to the superposing signals; the received multi-frequency continuous baseband signals after modulation are orthogonally decomposed, each path of receiving signals are decomposed by the characteristic that each path of signals are orthogonal with each other, the amplitude of each interface reflection echo and the position thereof corresponding to the incident interface are calculated so as to carry out the image forming. The device of the invention comprises an ultrasonic probe, a control unit, and an operation unit, a receiving / emitting unit, a processing unit and a display unit which are respectively connected with the control unit; the ultrasonic probe is connected with the receiving / emitting unit; the processing unit is respectively connected with the receiving / emitting unit and the display unit; the method and the device of the invention has precise image forming and good anti-interference performance, and reduces the cost by adopting a single probe.

The invention relates to a method for measuring the acoustic impedance of an organism based on ultrasound steady state reflected waves, which comprises that (1) multiple frequency continuous baseband signals which are mutually orthometric are structured by using orthogonal frequency division multiplexing modulation mode; (2) an ultrasonic probe sends out the multiple frequency continuous baseband signals; (3) an ultrasound transducer detects reflected state echo signals; and finally the amplitude of reflected waves of a no uniform reflecting interface and phase difference opposite to incident waves are found out by solving equations set. A device realizing the method comprises an ultrasonic probe, a control unit, a transceiving unit, a processing unit and a display element which are respectively connected with the control unit. The ultrasonic probe is connected with the transceiving unit. The processing unit is respectively connected with the transceiving unit and the display element. The method has high calculation accuracy, good anti-interference, good anti-noise capability. Only one probe is needed, thus causing that the cost of development devices is reduced. And the measuring method is simple and can be used in vivo experiment.

The invention relates to the technical field of pelvis and pelvis artery blood vessel tree segmentation, in particular to a deep learning-based pelvis and pelvis artery blood vessel multi-level segmentation method, which is used for solving the problem that an abdomen pelvis and a pelvis artery blood vessel tree cannot be automatically, efficiently and accurately segmented in a multi-resolution CTimage in the prior art. The method comprises the following steps: step 1, preparing and labeling data; 2, preprocessing the data; 3, constructing a first-level segmentation model of the 3D convolutional neural network based on multi-level segmentation; 4, constructing a second-stage segmentation model; 5, training a first-stage segmentation model and a second-stage segmentation model by using thecalibrated data and the synthesized loss function; and 6, performing abdomen information segmentation on the input three-dimensional CT image by using the first-stage segmentation model and the second-stage segmentation model trained in the step 5. According to the method, the abdominal pelvis and the pelvis vascular tree can be automatically, efficiently and accurately segmented in the multi-resolution CT image.

The invention provides an intelligent assisted diagnosis method for children respiratory diseases and a diagnosis system thereof. The method comprises the steps of S1, acquiring assisted examination information of a to-be-diagnosed child and / or doctor interrogation diagnosis recording information; S2, according to the assisted examination information and / or doctor interrogation diagnosis recordinginformation, screening key information; and S3, according to a pre-established children disease knowledge database system, processing the key information by means of a pre-trained typical symptom diagnosis model, thereby obtaining a diagnosis result. The diagnosis result comprises at least one possible disease, and the characteristic, which corresponds with each possible disease, of the to-be-diagnosed child. The intelligent assisted diagnosis method can help non-expert doctors in improving diagnosis levels for difficult disease, thereby reducing misdiagnosis.

The invention discloses a modularized magnetic resonance examination unit and a container modularized hospital with the same. The modularized magnetic resonance examination unit comprises a first box equipped with a magnetic resonant apparatus body and accessories and a second box having a magnetic resonance operating chamber; a first side of the first box is communicated with a first side of the second box. The modularized magnetic resonance examination unit and the container modularized hospital are quick to assemble for use with no influence from the external environment, are applicable to various means of transportation including modern vehicles such as maritime and land transportation vehicles and allow convenience of the extension of primary medical care.

The invention discloses a detection kit, detection system and detection method for 19 high-risk HPVs. The 19 high-risk HPVs comprise HPV16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 70, 73 and 82. According to the invention, a plurality of general primers are employed for amplification of target fragments, and specific fluorescence probes are used for real-time detection of the amplified fragments; since the general primers are employed, the primer amount of the system and complexity of the system are reduced, cost is saved, and all the high risk types are detected through combined action of 10 primers; and 20 specific fluorescence probes are used to distinguish different types. With the detection kit, detection system and detection method provided by the invention, the 19 high-risk HPVs can be detected in a reaction tube; high sensitivity and good specificity are obtained; operation is simple and fast; and for patients, screening cost is saved.

The invention discloses a degradable dendritic macromolecule magnetic resonance contrast agent and a preparation method thereof. The degradable dendritic macromolecule magnetic resonance contrast agent is characterized in that a degradable dendritic macromolecule is used as a skeleton and micromolecular gadolinium chelates are connected to the degradable dendritic macromolecule so that the degradable dendritic macromolecule magnetic resonance contrast agent is formed. The degradable dendritic macromolecule magnetic resonance contrast agent has a relaxation rate of 17.4mM<-1>.s<-1> obviously higher than a relaxation rate of the common contrast agent, has a better MRI contrast effect, can be enriched in tumor tissue by enhanced permeation and retention effects of the degradable dendritic macromolecule magnetic resonance contrast agent, and improves MRI sensitivity and an early diagnosis level of cancers. The degradable dendritic macromolecule magnetic resonance contrast agent can be hydrolyzed by internal esterase catalysis and then is gradually discharged out of a human body so that the toxicity accumulation of gadolinium in a human body is avoided. The preparation method has simple processes, can be controlled easily and is suitable for industrial large-scale production.

The invention relates to the technical field of medical instruments, and discloses an intelligent assistant judgment system for a cervical image and a processing method thereof. The intelligent assistant judgment system for a cervical image comprises a colposcope detection device and an assistant judgment device. Through combining the colposcope detection device and the assistant judgment device, a to-be-detected cervical image is acquired by using the colposcope detection device, the assistant judgment device is matched to carry out comparison and analysis on the to-be-detected cervical image and feature data thereof, whether the current to-be-detected cervical is a normal cervical can be judged, the feature data of the to-be-detected cervical image can also be used to obtain which lesion type the current to-be-detected cervical possibly belongs and feature parameters of the lesion, a doctor can be assisted to make a right diagnosis and judgment, the diagnosis level of the doctor is improved, and the error diagnosis possibility and the missed diagnosis possibility are reduced.

The invention discloses a liver cancer diagnostic kit based on nucleic acid aptamers, comprises the following ingredients with independent packing: liver cancer nucleic acid aptamer solution, polyacrylamide gel mother liquor, ammonium persulfate, tetramethyl diethylamine, 50% glycerin solution II, 1.25M sodium chloride solution, GelRed dye solution, positive control serum, and negative control serum. The kit has the following characteristics: (1) high diagnostic value, sensitivity of about 85%, specificity of about 85%, and accuracy of about 85%; (2) simpleness and practicality, and only need of conventional vertical electrophoresis and a gel image analysis system to realize the diagnosis; and (3) low cost and high additional value. Liver cancer is one of common malignant tumors in clinic, thus by applying the kit of the invention in clinical application, the consumption is high, the diagnostic level of liver cancer can be effectively raised, good economic benefit and social benefit can be produced, and the application prospect is good.

The utility model relates to a process and an application of a stereo dissection image of a human body. The technical proposal is that, gathering the somatic data by means of the X-ray computer tomography, the magnetic resonance imaging, the magnetic resonance angiography, the positron emission computed tomography and the ultrasonic; analyzing and processing the data by the Dextroscope system, to rebuild the three-dimensional virtual human, and taking pictures of each part, each angle of the virtual human, to form a solid image. The utility model allows observers to become conscious of the solid dissection image via a pair of red-and-green glasses or a pair of red-and-blue glasses, just like an elaborate specimen in front of us; the space structure, the inter-structural level and the adjoining feature are accurate and vivid, that is convenient for doctors to exactly master the complicated space dissection images of the patients, and is in favor of improving the diagnostic skills; the utility model is convenient for a clinician to draw up a plan before an operation, and simultaneously is a wonderful platform for the anthropotomy teaching.

The invention discloses a tumor diagnosis and treatment nano-material based on manganese and dopamine, and a preparation method thereof, and belongs to the field of magnetic resonance imaging mediatedphotothermal therapy diagnosis and treatment integration materials. The preparation method of the nano-material comprises the following steps: adding dopamine, bovine serum albumin and potassium permanganate into an aqueous medium, carrying out a reaction at room temperature, and self-assembling the obtained product to form the nano-material. Two oxidation reactions are simultaneously driven by one oxidizer, and in-situ polymerization self-assembling is driven to prepare an efficient manganese-based nanometer macromolecular contrast agent, so the relaxivity is high; and the nano-material hasa high photo-thermal conversion efficiency in a near-infrared region, can be applied to photothermal therapy as a photothermal therapy agent, can monitor the positions and the sizes of tumors and theenrichment state of the photothermal therapy agent in tumor tissues by means of a magnetic resonance technology, can be used to evaluate the therapy effect, and realizes magnetic resonance imaging mediated photothermal therapy diagnosis and treatment integration.

The invention provides an ultrasonic teaching system based on an applet, and relates to the technical field of ultrasonic teaching, and the system comprises: a logic background terminal which stores apre-generated equipment use instruction and image teaching data of each examination part; at least one student terminal, which carries a applet, performs information interaction with ultrasonic equipment and the logic background terminal through the applet, and is used for identifying equipment information of the ultrasonic equipment and establishing communication connection with the ultrasonic equipment associated with the equipment information; loading an equipment use instruction corresponding to the equipment information according to the equipment information for students at the student terminal to check; performing simulation parameter adjustment on the ultrasonic equipment according to the equipment information, and displaying a simulation parameter adjustment result through a smallprogram for students to check; and an image teaching module, which is used for loading corresponding image teaching data for each examination part of the ultrasonic examination so as to be checked bystudents at the student terminal. Training of ultrasonic equipment and ultrasonic diagnosis is organically combined, so that a user can easily master the equipment, and diagnosis is facilitated.

The invention relates to a clinical department browsing workstation aiming at a PACS (Picture Archiving and Communication System) of a hospital, comprising a multipoint touch input device (1), a main controller module (2), a display and output device (3), and a power supply module (4), wherein the multipoint touch input device is used for detecting a plurality of touches simultaneously occurring at different positions on the display and output device, automatically converting the touch information into coordinate and touch point ID (Identity) information and transmitting the coordinate and touch point ID information to the main controller module; and the main controller module is used for receiving the coordinate and touch point ID information transmitted by the multipoint touch input device, grouping and storing corresponding touch point coordinates according to different touch point IDs, judging an operational command of a user through change of coordinate values among the different touch point IDs, and outputting a result to the display and output device; and the main controller module is used for calling related image data of an image server in the PACS system and converting the image data in a format of DICOM (Digital Imaging and Communication Of Medicine) file to a target file format and then outputting the target file format to the display and output device for displaying. The clinical department browsing workstation overcomes the defect of man-machine interaction in the traditional PACS image workstation and is beneficial to improving the performance and the configuration of the browsing workstation.

The invention discloses a heat exchange unit fault diagnosis method based on edge calculation and a neural network, wherein the method comprises the steps that: all data of heat exchange unit equipment under different working conditions are collected in real time to form a sample data set, and the sample data set is transmitted to an edge calculation node which is disposed adjacently; the edge calculation node adopts a sliding window strategy for vibration data and extracts corresponding time domain features, frequency domain features and time-frequency domain features to form a vibration fault diagnosis feature vector; principal component analysis is carried out on the pressure data, the temperature data and the flow data, a plurality of principal component features are selected, the first-m principal component features with the contribution rate reaching a preset value are selected as principal component features, and leakage and blockage fault diagnosis feature vectors are formed; a fault diagnosis model based on a convolutional neural network is constructed according to the fault diagnosis feature vectors; and after feature extraction is carried out on the collected real-time operation data of a heat exchange unit, the fault diagnosis feature vectors are input into the fault diagnosis model for diagnosis, and a diagnosis result is generated.

The invention provides a fault detecting device of a ship-used log, which comprises a data processor (U1), a multiplex strobe (U2), a data collecting unit (U3), a communication interface unit (U4), a log (U5), a personal computer (PC) (U6). The input end of the multiplex strobe (U2) is connected with the log (U5). The data processor (U1) controls the three binary normal control input ends and enable ends of the multiplex strobe (U2) and determines which way is strobed. The output end of the multiplex strobe (U2) is connected with the input end of the data collecting unit (U3) to carry out the A / D conversion of the signals of the strobed way. The data processor (U1) judges the conversion status by inquiring and finishes the reading and writing operations. The data transmission is realized between the data processor (U1) and the PC (U6) by the communication interface unit (U4). Then the PC (U6) can detect the faults of all cards of the log (U5). The device can be arranged on any ship and can carry out the high-efficient and reliable fault diagnosis and fault locating at any time without the help of professional personnel.

Mammary gland blood oxygen function imaging method and system is disclosed. The method includes irradiating mammary gland tissue with a double wavelength light source, receiving light with a detector, converting the analog signal of light strength into digital signal, performing image processing to calculate the variation in oxyhemoglobin and deoxyhemoglobin, and final mapping the the variation in oxyhemoglobin and deoxyhemoglobin to form figure. The system features its double wavelength generator connected to the light source controlling module, and its image analysis and processing system connected to the computerized central processing system. Using the imaging method and system can obtain sufficient and accurate image data for post computer image treatment and obtain raised diagnosis coincidence rate.

The invention discloses an auxiliary diagnosis system for early gastric cancer under an electronic staining endoscope based on deep learning, and the system comprises an image obtaining module which obtains a stomach image collected in real time in an examination process of the electronic staining endoscope; an early gastric cancer recognition module used for recognizing a focal zone and marking the focus area based on a pre-constructed early gastric cancer recognition model; and a logic judgment module used for judging whether the identified focal zone belongs to the same focal zone or not when the identified focal zone is overlapped. By means of a common electronic staining means, the invention provides the method for identifying the gastric early cancer based on an electronic staining endoscopic image, and the real-time performance, accuracy and practicability of detection are greatly improved.

The invention belongs to the technical field of data mining and discloses an acupuncture medical data processing system and method, and an information data processing terminal. The acupuncture medicaldata processing system comprises a statistical data set module; a multi-dimensional frequency statistic module; a correlation analysis module; a temporary data set module; an acupuncture prescriptionoptimization module; and a result statistic module. The acupuncture medical data processing system and method can effectively assist doctors in making medical decisions, improve the diagnosis level of doctors, make useful explorations for the construction of traditional Chinese medicine informatization, can be directly used to guide the formulation of clinical schemes, greatly improve the clinical efficacy and informatization level of acupuncture, break through the development bottleneck of the acupuncture industry, satisfy the needs of a majority of acupuncture clinicians for obtaining the latest evidence-based medical information and improving the level of diagnosis and treatment, satisfy the needs of the masses of people for obtaining feasible and effective acupuncture diagnosis and treatment schemes and preventing diseases, facilitate the high-efficient query anlysis of users, reduce the number of association rules, and improve the statistical efficiency of calculation.

The present invention relates to the field of power construction and debugging, in particular to an information access inspection method based on substation secondary equipment panoramic information simulation. The method provided by the present invention, by simulation of secondary equipment information, implements simulation and check of information interaction between secondary equipment and a master dispatching station, and solves the problems of numerous application systems, a great number of information isolated islands as well as dispersive and low-efficiency secondary equipment access operations when conventional substation secondary equipment accesses to the master dispatching station. The method comprises: firstly, establishing a substation secondary equipment panoramic information simulation system; secondly, collecting secondary equipment information by using a secondary equipment online monitoring and analysis module of a D5000 platform; and finally, formulating a communication protocol between the secondary equipment online monitoring and analysis module and the substation secondary equipment panoramic information simulation system, so as to implement transmission of the secondary equipment information from the secondary equipment online monitoring and analysis module to the substation secondary equipment panoramic information simulation system.

The invention discloses a method for improving the imaging quality of an endoscope. The method is characterized in that an oleophobic and lyophobic protection film is formed on the surface of a protective sleeve of the endoscope by adopting a photoetching method or a screen printing method. by the invention, the endoscope can image definitely in the use process, which benefits the improvement of the diagnosis level.

The invention discloses a new type of Neisseria gonorrhoeae medium, which is characterized in that the components include basal medium, sheep blood and bacteriostatic agent: ①Basic medium: 1.0-2.0 parts of peptone, 0.05-0.15 parts of cornstarch, K2HPO40. 2-0.8 parts, KH2PO4 0.05-0.2 parts, NaCl 0.25-1.0 parts, agar 1-3 parts; ② sheep blood 3-10 parts; ③ bacteriostatic agent: vancomycin 0.003-0.005 parts or lincomycin 0.003-0.01 parts, polymyxin 0.0075-0.015 parts, nystatin 0.417-0.667 parts and trimethoprim 0.005-0.01 parts. The culture medium is suitable for grassroots medical institutions, has excellent performance, and has a simple and reasonable preparation method, which not only overcomes the shortcomings in the prior art, but also ensures the effect of separation and culture.

The invention provides a sphenoid needle type electrode for an electroencephalogram detector. The electrode comprises an electrode needle, a wiring terminal, an electrode connecting wire and an electroencephalogram tester, wherein the wiring terminal and the electrode needle are connected sequentially on the electrode connecting wire of the electroencephalogram tester; the electrode needle and the wiring terminal are fixedly or movably connected; the wiring terminal and the electrode connecting wire are fixedly connected; and the electrode connecting wire and the electroencephalogram tester are connected. The sphenoid needle type electrode has the characteristics of reasonable structure, simple operation, acupoint hit positioning, strong pertinence, high accuracy, accurate data, quick confirmed diagnosis, good effect, low cost, no pain of a patient, small economical burden and the like, and is simple to operate. Particularly, a needle type electrode structure is adopted, an acupoint hit positioning monitor technology is realized, the accuracy of monitoring data is improved to quickly diagnose the symptom of the patient, carrying is convenient, the accuracy of data collection is improved, the misdiagnose rate is reduced, and time and cost for medical treatment are saved, so that the electrode is an ideal mating electrode for a dedicated electroencephalogram tester for electroencephalogram data collection.

The invention discloses a turbo-generator excitation winding turn-to-turn short circuit fault diagnosis method. The method comprises the following steps: 1) a generator finite element model is established, and a rotor fundamental frequency vibration and a phase angle caused by different excitation winding turn-to-turn short circuit faults are calculated to serve as a sample set of fault diagnosis;and 2) rotor vibration data during operation of the generator is collected online and in real time, the correlation degree between the vibration data and the fault sample set is obtained, and the fault degree and the fault position of the excitation winding turn-to-turn short circuit are obtained. According to the turbo-generator excitation winding turn-to-turn short circuit fault diagnosis method provided by the invention, according to the influence of electromagnetic and heat imbalance caused by the excitation winding turn-to-turn short circuit faults on the vibration of the rotor, the vibration characteristic is extracted, good diagnosis sensitivity is achieved, a new detection device does not need to be installed, thereby improving the fault diagnosis efficiency, and the method has the advantages of being simple and easy to implement and high in reliability.

The invention provides a small sample tumor necrosis rate classification prediction device based on deep learning. The device comprises: a single image generation module configured to input a normal bone contour image and a real pre-chemotherapy tumor image with a tumor necrosis rate category label into a trained first generative adversarial network model to obtain a pre-chemotherapy tumor image with a tumor necrosis rate category label; the time sequence image generation module is configured to input the tumor image before chemotherapy generation into a trained second generative adversarial network model to obtain a tumor generation time sequence image; and the necrosis rate classification module is configured to train a deep convolutional neural network model by adopting the generated tumor time sequence image so as to obtain a tumor necrosis rate classification result of the to-be-detected tumor time sequence image. The device can solve the problems that the number of tumor samplesis small, and the missed diagnosis and misdiagnosis rate is high.

The invention discloses a mobile pathology consultation method based on a mobile remote pathology consultation platform. The method comprises the steps as follows: a primary hospital sends a remote consultation request to a superior hospital through the mobile remote pathology consultation platform; after the superior hospital receives the remote consultation request of the primary hospital, the mobile remote pathology consultation platform connect a corresponding pathology expert communication port of the superior hospital with a consultation group; a pathology expert of the superior hospitalaccesses the consultation group and looks up sample slice scanning data in the group, and the mobile remote pathology consultation platform records voice information and picture mark information fedback by the pathology expert through the communication port in real time and transmits the information to the rest communication ports in the consultation group. By the aid of the mobile pathology consultation method based on the mobile remote pathology consultation platform, cloud pathology consultation service is realized, the diagnosis level of the primary hospital can be improved, and the problems of lack of pathology doctors and weak technical levels of primary hospitals and hospital in remote areas in hierarchical diagnosis and treatment can be promoted to be solved in the cloud computing means.

The invention relates to the technical field of server testing, and provides a server sound card audio function diagnosis method and system, and the method comprises the steps: driving to play a sample audio file, playing the sample audio file through an audio output interface, recording the played sample audio file through an audio receiving interface, and generating an audio receiving file; carrying out time domain analysis on the audio receiving file, obtaining an audio signal amplitude of the audio receiving file, checking and comparing the generated audio receiving file with a sample audio file, and judging whether the audio signal amplitude of the audio receiving file is normal or not; performing frequency domain analysis on the generated audio receiving file; the audio signal frequency of the audio receiving file is obtained, the generated audio receiving file is checked and compared with the sample audio file, and whether the audio signal frequency of the audio receiving file is normal or not is judged, so that the server sound card function is rapidly and effectively diagnosed, the product quality is ensured, and the diagnosis coverage rate and the diagnosis level are improved.

The invention discloses a distributed intelligent fault diagnosis method and device based on particle filtering. The technical scheme comprises the steps of building a normal model and various fault models according to system dynamics characteristics; obtaining various data parameters through distributed data acquisition; accurately estimating system state parameters by adopting a particle filtering algorithm; and comparing the filtering processed data parameters with the normal model and the various fault models by applying a mode recognition algorithm to obtain an operating mode of the system at present. The advantages of the invention lie in that the acquisition and centralized processing of multi-variable data are realized through a sensor network, and accurate estimation for the stateof a monitored object and intelligent diagnosis for a fault are achieved based on the particle filtering algorithm. The system can realize remote real-time monitoring and fault prediction, and effectively improves the application range and diagnosis level of the existing fault diagnosis system.

The invention relates to an abnormal karyotype image library used in the medical field and a construction method for the same. Remainder adherent growth living cells used for chromosome disease diagnosis due to a diagnosis need and already confirmed to be provided with complicated chromosome abnormality are taken, and subjected to repeated generation amplification, cells are corrected, lowly-permeated, fixed and stored at minus 20 DEG C, then one type or more types of cell suspensions are taken and mixed according to the needed ratio, thus only one abnormal karyotype contained in each part of the cell suspensions is converted to various abnormal karyotypes with different ratios and easy to carry out misdiagnose, the image library is prepared through chromosome preparation and image capture, the difficulty and complexity of differential diagnosis and chimera diagnosis are improved by the prepared images, and more chromosome abnormal combined types of karyotype images can be prepared as needed; specimens are easy to get and waste redundant cells are used for teaching, technical examination, external quality assessment and resource sharing for chromosome analysis, and a remarkable effect is acted on timely discovery for diagnosis quality problems and improvement for a diagnosis level.