7 results about "Serous membrane" patented technology

The invention discloses a bipolar high-frequency electric snare, which relates to the field of medical equipment and comprises a ferrule assembly and one or more sleeves, and the sleeves are used for fixing the ferrule assembly. By the adoption of the bipolar snare, current can form a loop, instrument short circuit can be avoided, damage to an intestinal wall serosa layer can be reduced, the possibility of complications such as bleeding and perforation can be reduced, and the bipolar snare has the advantages of being easy to maintain, disassemble, assemble and adjust parameters due to the adoption of the modular design. The invention aims to provide the bipolar high-frequency electric snare which has the advantages of cooperative operation, high operation precision and modular design.

A bipolar high-frequency electric snare, comprising a snare assembly (1) and a sleeve (2). The sleeve (2) is configured for fixing the snare assembly (1), and there are one or more sleeves (2). The bipolar snare can not only form a current loop, but also avoid a short circuit of an instrument, thereby reducing damage to the serosa layer of the intestinal wall and reducing the possibility of complications such as bleeding and perforation.

The invention discloses a serous cavity effusion sample property identification method and system based on data statistics, and the method comprises the following steps: S1, preparing a serous cavity effusion sample slide, the operation comprising manual slide pushing and dyeing; s2, checking the prepared slide, wherein the checking content comprises whether cell distribution is uniform or not and whether dyeing is clear or not, and re-flaking the sample of which the flaking quality does not meet the item checking requirement; s3, observing the image of the slide under the microscope, judging the type and number of cells according to the serous cavity effusion cell morphological map, and recording the result; s4, carrying out statistical analysis on a recording result obtained in the step S3, and calculating the proportion of the total number of cancer cells in all the visual fields to the total number of nucleated cells in all the visual fields; and S5, judging the sample property according to the ratio and the number of the total number of cancer cells in the visual field. The invention provides a clear judgment rule and an implementation method of the sample property, and provides a clear judgment rule for the result in the gray region, so that the accuracy of the final result is ensured.

This invention belongs to the field of bioinformatics, specifically relating to a deep learning-based method for perspective 3D reconstruction of serous epidermis. The method includes the following steps: First, stained continuous sections of the serous epidermis are acquired; second, the stained continuous sections are input into a reference point analysis module to obtain reference point descriptions; then, the reference point descriptions and stained continuous sections are processed by a continuous section registration module to obtain aligned continuous sections; subsequently, the aligned continuous sections are spatially filled in using a continuous section interpolation module to obtain filled continuous sections; finally, the filled continuous sections are spatially modeled using a continuous section stitching module to obtain an initial 3D reconstruction, and then a perspective 3D reconstruction is obtained using a section background removal module and a 3D data denoising module. This invention proposes a complete set of 3D reconstruction methods for serous epidermis based on deep learning technology, capable of performing perspective 3D reconstruction under a conventional microscope, possessing both color layer information and internal structure representation capabilities.

According to the serous cavity effusion extraction device, a first connecting base is fixed to one side of a top cover of an effusion box, an air extraction pipe is installed on the first connecting base, a second connecting base is fixed to the other side of the top cover of the effusion box, an extraction pipe is installed on the second connecting base, and an extraction needle head is installed at the tail end of the extraction pipe; an inner cylinder is fixed to the outer side of the end of the suction pipe, the outer wall of the inner cylinder is attached to the inner wall of an outer cylinder, the outer side face of the outer cylinder is rotationally connected with the top of the inner side face of a supporting plate through a side shaft, a positioning suction cup is installed at the bottom end of the supporting plate, and a shifting plate is arranged at the top of one end of the outer wall of the inner cylinder. According to the serous cavity effusion extraction device, the novel structural design is adopted, the insertion angle can be conveniently and rapidly adjusted in a rotating mode, the suction pipe and the suction needle head can be stably and linearly pushed and stably locked, and abnormally accumulated liquid in the thoracic cavity or the abdominal cavity or the pericardial cavity is comprehensively sucked.

The utility model relates to the technical field of medical instruments, in particular to a serous cavity effusion filtering device, which comprises a base, an outer cylinder fixedly mounted on the base, a detachable mounting cover mounted on the outer cylinder, an inner cylinder rotatably mounted in the outer cylinder, detachable filtering structures equidistantly arranged along the circumferential direction of the inner cylinder, and the detachable filtering structures are arranged on the inner cylinder when the inner cylinder rotates. The detachable filtering structure is used for filtering serous membrane cavity accumulated liquid; the pressurizing assembly comprises a driving structure and a lifting structure, and the lifting structure is arranged on the mounting cover and comprises a lifting part which is elastically arranged on the mounting cover in a sliding mode; the driving structure is mounted on a mounting plate fixedly arranged on the base and connected with the inner cylinder, and when the inner cylinder rotates, the driving structure can drive the lifting structure to act so as to drive the lifting part to ascend and descend relative to the outer cylinder; by arranging the pressurizing assembly, the filtering speed of serous membrane cavity effusion can be increased, and therefore the time needed by overall inspection is shortened.

The invention belongs to the technical field of animal experiment model construction, and relates to a construction method of a porcine endometrial injury model. The construction method is non-traumatic, can simulate the pathological state of clinical intrauterine adhesion on the premise of not damaging the full-thickness structure of the uterus of a pig, and comprises the following specific steps: intramuscularly injecting 1.5 mg / kg of Shutai to calm an experimental pig, then carrying out anesthesia induction and analgesia, intramuscularly injecting phloroglucinol and probing the cervix uteri after the anesthesia induction succeeds and vital signs are stable, and carrying out intramuscular injection on the experimental pig. The cervix uteri is ensured to be relaxed; a sixth curette enters the uterus body from the cervix gently and slowly, and the endometrium is mechanically scraped until the surface is coarse; and then injecting 95% ethanol and staying for a specific time, and finally removing the residual ethanol. According to the method, laparotomy is not needed, the operation path is simple, the full-layer structure of the uterine muscular layer and the serosal layer can be completely reserved, the modeling effect is highly similar to the clinical intrauterine adhesion condition, the success rate is as high as 95%, the repeatability is good, the modeling effect is stable, and a standardized large animal model capable of being popularized is provided for intrauterine adhesion mechanism research and clinical intervention evaluation.