17 results about "Cell smear" patented technology

The invention relates to the technical field of clinical detection of cerebrospinal fluid, and particularly discloses a smear device for detecting cerebrospinal fluid, which mainly comprises a sample tube and a piston assembly, the sample tube comprises a first tube body, a second tube body and a third tube body; the second pipe body is located above the first pipe body, a liquid outlet hole is formed in the bottom, and a liquid inlet hole is formed in the side wall; the bottom of the third pipe body is communicated with the liquid inlet hole through a flow channel; the piston assembly comprises a piston, a handle part and a center rod; the piston is fixedly connected with a tongue part, the center rod can be inserted into the liquid outlet hole, and the piston assembly is provided with an initial station and a flaking station. According to the smear device for detecting the cerebrospinal fluid, the manufacturing process of a cell smear is simplified, operation is convenient and fast, the smear manufacturing efficiency is remarkably improved, the smear manufacturing time is shortened, unnecessary physical damage to cells in the smear manufacturing process is avoided, then cell rupture and dissolution can be effectively reduced, and the smear quality is remarkably improved; meanwhile, the comprehensive cost of manufacturing the cell smear is obviously reduced.

The invention discloses a pathological image classification method and system for assisting pathological diagnosis, and aims to solve the problems that the traditional pathological diagnosis is low in efficiency and the accuracy depends on artificial experience. According to the method, a pathological image is collected, denoising, enhancement and other preprocessing operations are executed, a pre-trained deep learning model is utilized to automatically extract image features, and classification results of benign, malignant or specific disease types are output in combination with a classification algorithm, so that efficient and accurate automatic diagnosis is realized; the system integrates image acquisition, preprocessing, feature classification and result display modules, supports multi-user concurrent access and cloud deployment, is equipped with model updating and user interaction functions, and can continuously optimize model performance based on new data. In addition, remote pathological diagnosis is supported, and balanced distribution of medical resources is promoted through a digital system; the method can significantly reduce the workload of pathologists, reduces the risk of human misdiagnosis, and is suitable for rapid classification and diagnosis of various pathological images such as tissue slices, cell smears and the like.

The present invention relates to a computer-implemented method for producing a trained model for detecting one or more defined cell types and / or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow, cytology smear or slide preparations, in particular a blood smear sample. It relates also to a computer-implemented method for detecting one or more defined cell types and / or cellular indicators, such as biomarkers or cellular abnormalities, in particular genomic aberrations, from single-cell images obtained from a sample of a body liquid, bone marrow or cytology smear, in particular a blood smear sample.

The utility model discloses a blood cell smear auxiliary device. The blood cell smear auxiliary device comprises a blood filling pool and an adjusting part, the blood filling pool is provided with a containing groove used for containing blood, the groove bottom face of the containing groove is opened to be used for being matched with a glass slide, and the adjusting part comprises a first adjusting piece and a second adjusting piece. The first adjusting piece and the second adjusting piece are oppositely arranged in the blood filling pool, and the first adjusting piece and the second adjusting piece can move so as to adjust the volume of the containing groove. According to the blood cell smear auxiliary device, the preparation efficiency and quality of the blood smear can be remarkably improved, and a more reliable sample is provided for hematological examination, so that the accuracy and efficiency of medical diagnosis are promoted.

1. The name of the present design product: graphical user interface of cytological smear review software for electronic equipment. 2. The use of the present design product: for electronic equipment. 3. The design points of the present design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The design claimed contains color. 6. The use of the graphical user interface: for users to observe the picture obtained by scanning the cytological smear and its related item information as a whole, and to frame, mark and analyze the cells in the distribution diagram. 7. The human-computer interaction mode of the graphical user interface: the interface view can be artificially interacted, and the cell magnification can be enlarged through clicking and other interaction modes.

The invention provides a cell smear quality evaluation method and system based on cell morphology, a medium and a program product, and relates to the field of medical image processing and artificial intelligence. The method comprises the following steps: S1, acquiring an image of a cell smear, and carrying out preprocessing and multi-region labeling on the image of the cell smear; step S2, constructing a cell smear prediction model based on MSF-Net; the cell smear prediction model adopts ResNet to extract basic features of a cell smear image, and outputs a middle-high-level semantic feature map; the cell smear prediction model adopts a multi-branch parallel convolution architecture to perform multi-scale feature extraction on middle and high level semantic feature maps; step S3, carrying out Hybrid Attention operation on the fused feature map, and carrying out a hybrid Attention operation on the fused feature map; s4, taking the loss function as supervision when the cell smear prediction model is trained, and obtaining a trained cell smear prediction model; and S5, inputting the cell smear image of which the quality is to be evaluated into the cell smear prediction model, and outputting a corresponding quality evaluation result.

The utility model relates to a small-sized automatic dip dyeing device for a cell smear. The small-sized automatic dip dyeing device comprises a box body, a clear water tank, a sewage tank, a dyeing assembly and a moving assembly, the dyeing assembly comprises a slide rack, a dye liquor cylinder, a cleaning loop and an air drying cylinder; the slide frame is provided with a slide groove, and a slide can be vertically placed in the slide groove; the moving assembly comprises a lead screw module, a rotating motor module and a four-rod assembly, and the slide rack is fixedly connected with the four-rod assembly. Compared with the prior art, the device is small in size, can be placed in an operating room, and is low in dye consumption and high in dyeing efficiency and dyeing quality.

The present application relates to biomedical micro-imaging and cell pathology detection technical field, especially to a kind of alveolar lavage fluid macrophage terahertz near-field imaging identification method.Its technical scheme includes the following steps: the unstained alveolar lavage fluid cell smear sample is fixed on the object table, the sample is observed under bright field using optical microscope, the suspected micro area with volume difference or nuclear shape shadow characteristics is locked, and the near-field probe is focused to the suspected micro area;The suspected micro area is scanned in a large range using a terahertz near-field imaging system, and surface topography images and terahertz internal tomography images are obtained.According to the size characteristics of the target object in the image and the uniformity characteristics of the terahertz signal, the background interference cells are excluded.The present application provides a terahertz near-field imaging method that can quickly and objectively identify different physiological state macrophages without staining, based on the dual-mode signals of topography elevation and optical voltage.

The application discloses a TCT smear automatic detection system based on multi-level hard polarization feature fusion, which comprises a YOLO-TCT model, the YOLO-TCT model is obtained by improving YOLOv8, and the improvement lies in that a C2f module in a YOLOv8 backbone network is replaced by an MLHP-C2f module. Through an ablation experiment, it is proved that feature fusion when ML, PSA or HPSA is separately added on the basis of YOLOv8-L has a negative effect on the performance of the model, and only when ML and HPSA are combined, the model realizes the best mAP 0.5:0.95 and mAP 0.5 , which shows the rationality and superiority of the MLHP structure. The comparison experiment results of different models show that in the detection of high-resolution cervical cell TCT smear images, the detection accuracy of the YOLO-TCT is significantly better than those of other model systems.

An integrated constant-temperature fully-automatic cell smear preparation device includes a rotary settling disc, where the rotary settling disc includes a settling disc base and a turntable body connected to a settling disc body through a fixed shaft; a glass slide addition mechanism arranged adjacent to a glass slide inlet position of the rotary settling disc; a cleaning and sample addition integrated device, where the cleaning and sample addition integrated device is arranged on a side of the rotary settling disc, the cleaning and sample addition integrated device includes a cleaning assembly and a sample addition assembly, and the cleaning assembly and the sample addition assembly add fluid to one or more different settling cups simultaneously as the turntable body rotates intermittently; and a glass slide discharging mechanism arranged adjacent to a glass slide outlet position of the rotary settling disc.

This invention discloses an intelligent screening method and system for abnormal cells in cervical liquid-based cytology images, belonging to the field of medical image processing technology. The method includes: acquiring and preprocessing a full-field digital image of a liquid-based thin-layer cytology smear; extracting individual cell contours using a cell instance segmentation network; calculating morphological features such as nuclear area, nucleocytoplasmic ratio, chromatin distribution, and nuclear membrane regularity; sequentially distinguishing normal cells, atypical squamous cells, low-grade and high-grade squamous intraepithelial lesions using a cascaded classification strategy; locating abnormal cells and screening high-risk fields of view based on an attention-guided algorithm; and outputting an abnormal cell annotation atlas and TBS classification assistance suggestions.

The invention relates to the technical field of biomedical detection and pathological slide preparation, and discloses a reusable biocompatible silica gel cell smear preparation device and method.The reusable biocompatible silica gel cell smear preparation device comprises a sealing box, a slide positioning assembly is placed in the sealing box, and a plurality of adhesive glass slides used for cell sedimentation slide preparation are placed on the slide positioning assembly; a plurality of sedimentation assemblies for cell sedimentation are placed on the adhesive glass slide, a box cover is arranged above the sealing box, and a manual negative pressure assembly is arranged above the box cover. A'negative pressure source 'and a'sedimentation device' are separated in space, and a public negative pressure environment is constructed by utilizing a sealing box, so that a user can enjoy the efficiency improvement brought by negative pressure without changing any original operation habit, and the unification of'simplicity and convenience 'and'high efficiency' is really realized. According to the slide positioning assembly, through the mechanical design, one-hand, quick and blind operation fixing and releasing of the adhesive slide are achieved, and the efficiency of batch preparation is greatly improved.

The invention relates to an unmarked cell smear preparation, polarization imaging and treatment method, which comprises the following steps: preparing an unstained cell smear through a cell specimen treatment and smear preparation step; performing full-polarization imaging on the unstained cell smear by adopting a muller microscope to obtain muller matrix image data of the cell smear; on the basis of the muller matrix image data, polarization substrate parameters are calculated, and polarization superpixels are extracted through an unsupervised clustering algorithm to be used for representing cell pathological features; and registering the polarization image of the unstained cell smear with the color image of the stained cell smear in the same area to generate multi-modal contrast data for auxiliary labeling and model training. According to the method disclosed by the invention, the cell smear does not need to be dyed, the microstructure characteristics of the sub-wavelength scale of the cell are captured through polarization imaging, and an automatic analysis technology is combined, so that a low-cost, high-efficiency and quantifiable technical tool is provided for cell pathology research.

Systems and methods herein provide a biomarker detection engine and its related functions. In an aspect, a biomarker detection engine receives a smear image of cells from a biopsy sample collected from a patient diagnosed with a myeloid malignancy. Responsive to receipt, the biomarker detection engine may preprocess the smear image to generate processed image data, for example by removing areas lacking cellular presence. Using the processed image data, the biomarker detection engine may generate, via one or more deep learning models, a prediction of a treatment outcome for a treatment therapy. The prediction may indicate whether the patient will be responsive to the treatment therapy. Based on the prediction, the biomarker detection engine may generate a recommendation for a treatment plan for the patient.

The invention belongs to the technical field of cell smears, and particularly relates to a cell smear device and a using method thereof.The cell smear device comprises a body, and a glass cover and a stand column are connected to the body; the driving part comprises a rotating ring, a bracket and a clamping plate are arranged on the rotating ring, a glass slide is arranged in the clamping plate, and a wave ring is connected to the main body; the drying part comprises an electric heating plate; the dyeing part comprises a liquid dropping head; the isolation part comprises a rotating frame, and a baffle is connected to the rotating frame; the cleaning part comprises a water spraying head, the water spraying head is arranged at the lower end of the rotating frame and arranged above the glass slide, and an inner cavity of the upper end of the stand column is fixedly connected with an atomizing head. According to the cell smear dyeing device, dyeing, cleaning and drying of a cell smear can be integrated, dyeing of the cell smear can be completed without manual intervention, and a glass slide can be controlled to be switched into different forms when moving to different stations, so that better operation is facilitated.

A full-automatic preparation method of a cast-off cell smear includes the following steps: S1: pretreatment of a cast-off cell: automatically pretreating the cast-off cell to be prepared to remove interfering substances; S2: automatically transferring a pretreated cast-off cell to a cyclic settling module to allow constant-temperature settling, and staining and moisturizing the pretreated cast-off cell; and S3: subjecting a moisturized cast-off cell to automatic liquid sealing. The full-automatic preparation method of the cast-off cell smear realizes the automation of smear preparation, staining, and sealing, and also realizes the unattended high-throughput output and the high-quality smear preparation and sealing.

The invention relates to a cell feature library generation method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: obtaining a first cell picture obtained by marking cell types through a mechanism to which a cell morphology analysis system belongs, and dividing the first cell picture into a first sample set and a first test set according to a preset proportion; wherein the first cell picture is a picture obtained by scanning a cell smear prepared on the basis of a smear preparation standard of a mechanism to which the cell morphology analysis system belongs; processing the cell pictures in the first sample set to obtain cell characteristics of various types of cells to form a cell characteristic library; the recognition effect of the cell feature library is inspected by utilizing the first cell picture in the first test set, and when the recognition effect of the cell feature library meets the preset requirement, the cell feature library is loaded into the cell morphology analysis system, so that the cell recognition accuracy of the cell morphology analysis system is effectively improved.