763 results about "Cell region" patented technology

The invention relates to the technical field of medical image analysis, in particular to a CAR-T cell culture monitoring system based on image recognition, which comprises a cell region division module, a cell morphology analysis module, a cell behavior dynamic analysis module and a cell population collaborative monitoring module. According to the method, through cell image gradient intensity analysis, refined cell edge detection and dynamic adjustment of a segmentation threshold value, high-precision extraction of cell boundaries is ensured, noise interference is avoided, cell shapes, textures and geometric features are refined, the identification degree of morphological features is improved, and tiny changes of cell morphologies are accurately captured; dynamic tracking and trend evaluation are carried out on cell behaviors based on adjacent frame images, tiny dynamic changes such as cell division, aggregation and migration are accurately reflected, excessive smoothness in the dynamic process is avoided, cell population behavior monitoring is combined with interaction and corresponding speed calculation, the population synergistic effect change trend is comprehensively evaluated, and the cell population behavior monitoring effect is improved. And finer cell culture environment optimization and clinical research support are provided.

The invention provides an OCR (Optical Character Recognition) method and system for high-precision table data structuring. The method comprises the following steps: converting an original image into a grayscale image and preprocessing the grayscale image; extracting a table edge structure line and filling a fracture part; detecting longitudinal and transverse straight lines in the preprocessed image, calculating intersection points, and determining a table row-column structure; dividing a cell region and positioning to generate a cell coordinate matrix; pixels in the cells are divided into a frame influence area and an effective data area, and the frame influence area executes neighborhood mean filtering and weighted fusion operation; performing end-to-end detection on characters and symbols in the effective data area, and outputting an OCR recognition result with coordinates; and dynamically generating a table structure template based on the cell coordinate matrix and an OCR recognition result, speculating a strategy matching field type through a rule, processing and merging cell missing data based on adjacent cell information, and outputting structured data. The reliability and accuracy of the OCR technology are improved, and the requirement of automatic information processing for high-precision data extraction is met.

The invention discloses a label-free nano plastic and single cell interaction monitoring imaging method which comprises the following steps: placing a sensing chip attached to cells on an SPRM, and recording a cell SPR image in the interaction process of the cells on the sensing chip and nano plastic; after the cell SPR image and the cell bright field image are compared to determine the corresponding area of the single cell in the SPR image, the deformation data of the cell membrane in the interaction process of the single cell and the nano plastic are obtained according to the SPR signal intensity of the area of the single cell, and the monitoring of the interaction of the nano plastic and the single cell under the resolution of the single cell is realized. The technical support is provided for researching the binding kinetics and cytotoxicity of the nano plastic.

The invention discloses a multimodal-based cell experiment image processing method and system and a storage medium, and the method comprises the steps: obtaining a single-channel gray image or a multi-channel fluorescence image containing cytoplasm and cell nucleus characteristics, carrying out the Gaussian filtering of a cytoplasm channel, and carrying out the median filtering of a cell nucleus channel; performing threshold segmentation on the preprocessed cytoplasm channel image by using a maximum between-class variance method to generate an initial cytoplasm mask; performing adaptive threshold segmentation on the preprocessed cell nucleus channel image to generate an initial cell nucleus mask; performing logic OR operation on the initial cytoplasm mask and the initial cell nucleus mask to generate an initial cell region; and finally, calculating each morphological parameter of each cell region and removing the cell regions of which the morphological parameters exceed a preset range to generate a segmentation result of the complete cell region, the morphological parameters and spatial distribution information. The problems that in the prior art, cytoplasm and cell nucleus noise processing segmentation precision is low, overlapped nucleus regions are difficult to separate, and morphological parameter analysis reliability is poor are solved.

A non-volatile memory device includes a peripheral circuit structure including a peripheral circuit, a lower insulating structure, and lower bonding pads, a cell array structure having a cell region and a peripheral connection region, the cell array structure including an upper insulating structure contacting the lower insulating structure, an upper bonding pad bonded to the lower bonding pads, a cell stack in the cell region of the upper insulating structure, a common source line layer arranged on the cell stack and including a common source opening, a base insulating layer filling the common source opening and covering the common source line layer, and cell channel structures penetrating the cell stack and extending into the common source line layer, and a pad pattern extending from the peripheral connection region to the cell region and partially overlapping the common source opening in a vertical direction, on the cell array structure.

The invention relates to the technical field of microimaging automatic focusing, in particular to an automatic cell focusing method and system capable of resisting interference of fluorescent microspheres in hydrogel. The method comprises the following steps: acquiring hydrogel cell image sets containing fluorescent microspheres on different focal planes, calculating cell region weights and weighted gradient processing according to the hydrogel cell image sets containing fluorescent microspheres on different focal planes, and storing the cell region weights and weighted gradient processing to a preset definition list; and traversing the definition list, performing definition scoring on the hydrogel cell images containing the fluorescent microspheres on different focal planes in the definition list to obtain the hydrogel cell image containing the fluorescent microspheres with the highest definition score and the corresponding Z-axis coordinate, and controlling a preset motor to realize automatic focusing by using the Z-axis coordinate. The method can adapt to various fluorescent microsphere densities, is not influenced by the densities, and has wide applicability; the algorithm considers the existence of all cells in the visual field, the focusing is more integral, and the focusing accuracy is improved.

According to the present disclosure, a semiconductor device includes a semiconductor substrate of a first conductivity type, in which a cell region, a ballast resistor region, and a termination region surrounding the ballast resistor region are defined, a first insulating film arranged on a front surface of the semiconductor substrate, having a first opening in the cell region, and having at least one second opening in the ballast resistor region, a second insulating film filled in the at least one second opening, a first impurity layer of a second conductivity type arranged on the front surface of the semiconductor substrate below the first opening, and a second impurity layer of the second conductivity type arranged on the front surface of the semiconductor substrate below the at least one second opening, a conductive film arranged from the front surface of the first opening of the semiconductor substrate to the termination region.

The invention relates to the technical field of cell image processing, in particular to a cell growth state detection method and system based on image processing. The method comprises the following steps: acquiring a suspected cell region degree of each pixel point in a grayscale image of a cell image; clustering the pixel points to obtain expanded boundary pixel points of class clusters, and then obtaining the confidence coefficient of the pixel points of each class cluster; multiplying the suspected cell region degree by the confidence coefficient, and normalizing to obtain the importance degree; analyzing the gray scale conditions of the pixel points in eight neighborhoods of one pixel point to obtain the gray scale change degree of the pixel point; acquiring adjacent pixel points of one pixel point, and analyzing to obtain the continuity degree of the pixel point; the enhancement coefficient of each pixel point is optimized according to the importance degree, the gray level change degree and the continuity degree of each pixel point, and then image enhancement is carried out; and carrying out cell growth state detection by utilizing the enhanced cell image. According to the invention, the accuracy of cell growth state detection can be improved.

An inspection apparatus includes: a stage on which a display substrate having a plurality of cell regions and a boundary region adjacent to the plurality of cell regions is seated and a plurality of photographing units which photograph the display substrate. The plurality of photographing units may include a first photographing unit which photographs a first photographing region of the display substrate and a second photographing unit which photographs a second photographing region adjacent to the first photographing region of the display substrate, the first photographing unit is capable of independently adjusting the first photographing region and the second photographing units is capable of independently adjusting the second photographing region, and a boundary of the first photographing region and a boundary of the second photographing region overlap the boundary region in a plan view.

Disclosed are a method, a device, and an information processing program for determining, by using refractive index distribution data pertaining to an object to be observed, the region of a cell that has undergone programmed cell death in the object to be observed.

The present application relates to the technical field of image processing, and provides an image processing method and apparatus, a cell defect detection method and apparatus, and a device. Nonlinear stretching processing is performed on a cell region image of a cell to obtain a stretched image, and such processing can improve the contrast between levels of a cathode and an anode of the cell in the cell region image, thereby improving the imaging effect; an exponential function is used by a nonlinear stretching formula, such that a grayscale interval in the cell region image can be expanded, detail features are highlighted, the stretching effect can be improved, and images having higher definition can be provided for subsequent cell defect detection, thereby improving the accuracy of the cell defect detection.

The invention provides a chip and electronic equipment, relates to the technical field of semiconductor chips, and aims to solve the problem of warping between film layers of the chip, and the chip comprises a cellular region and a terminal region surrounding the cellular region; the chip further comprises a substrate, a plurality of insulating layers located on one side of the substrate and a first-class nested structure located in the terminal area. Wherein the first type of nested structure comprises a first nested structure, the first nested structure comprises a first groove and a first protrusion, the first groove is formed in the substrate and faces one side of the insulating layer, the first protrusion is arranged on the insulating layer adjacent to the substrate and faces one side of the substrate, and the first groove is filled with the first protrusion.

The present technology provides a photodetection device in which an increase in capacitance of charge accumulation regions is prevented. The photodetection device includes: a first semiconductor layer; a first wiring layer; a second wiring layer; and a second semiconductor layer, the first semiconductor layer including: a cell region in which a photoelectric conversion element is formed; a charge storage region; and a transfer transistor, the first wiring layer including a first wiring line group and a second wiring line group stacked on the first wiring line group via an insulating film, the first wiring line group being the wiring line group located closest to the first semiconductor layer, the first wiring line group including a first pad, a reference potential line, and a gate control line that are provided at intervals in a horizontal direction, the second wiring line group including a second pad electrically connected to the first pad, the first wiring layer including: a first via having one end connected to the charge accumulation region and the other end connected to the first pad; a second via having one end connected to the cell region and the other end connected to the reference potential line; and a third via having one end connected to the gate electrode of the transfer transistor and the other end connected to the gate control line.

There are provided a semiconductor device and a manufacturing method thereof. The semiconductor device includes: a gate stack structure including a plurality of interlayer insulating layers and a plurality of conductive layers, which are alternately stacked in a third direction; a channel plug formed in a cell region, the channel plug penetrating the gate stack structure in the third direction; and at least one support structure formed in a contact region, the channel plug penetrating the gate stack structure in the third direction. The support structure includes a plurality of support structure layers that are sequentially stacked in the third direction, and the plurality of support structure layers are sequentially disposed such that each of the plurality of support structure layers extends in different directions along a plane defined by a first direction and a second direction, the first direction, the second direction, and the third direction being orthogonal to each other.

The invention provides a cell region recognition method and device, electronic equipment and a storage medium. The cell region recognition method comprises the steps of performing cell region recognition on a target section based on spatial transcription data of the target section and a preset first recognition algorithm to obtain a first cell image; performing cell region identification on the target section based on the dyed image of the target section and a preset second identification algorithm to obtain a second cell image; and carrying out image matching on the first cell image and the second cell image to obtain a target cell region of the target section. According to the embodiment of the invention, adhesion of the identified cell region can be reduced.

The invention discloses a gray clustering characteristic distribution-based cell nucleoplasm segmentation method, which comprises the following steps of: 1) constructing a self-supervised network, and solving a cell intensity distribution diagram of a cell image; 2) determining cell candidate regions in the intensity maps of the cell distribution, the staining intensities of the intensity maps of the cell distribution are different, but the deepest part in the image must belong to a cell nucleoplasm region, so that the candidate regions of the cell nucleoplasm are solved by adopting an iterative search mode; and 3) carrying out accurate segmentation on the obtained candidate cell region to obtain a segmentation result of the cell nucleoplasm, and finally, correspondingly drawing a minimum circumscribed contour of the cell nucleoplasm in the original color map. The invention belongs to the technical field of image processing and biomedicine, and solves the problems that in the prior art, when a cell image is processed, the extraction part is inaccurate, impurities are easy to mix, and the detection precision is influenced.

A magnetic memory device includes a substrate that includes a cell region and a boundary region adjacent to the cell region, a data storage structure that includes a magnetic tunnel junction pattern and is on the cell region, and a dummy pattern structure on the boundary region. The dummy pattern structure is spaced apart from the data storage structure in a first direction that is parallel to an upper surface of the substrate. The dummy pattern structure is parallel to the upper surface of the substrate and extends linearly in a second direction that intersects the first direction.

A semiconductor device includes a first conductivity-type substrate, and a cell region including: a second conductivity type deep well; first and second non-deep wells having the second conductivity-type, the first and second non-deep wells being in corresponding first and second portions of the substrate, the first and second portions of the substrate being in the deep well; and first, second, third and fourth transistor-regions. The first and second transistor-regions are correspondingly in the first and second non-deep wells and include first conductivity-type first transistors. The third and fourth transistor-regions are in the third and fourth portions of the substrate which are in the deep well, and include second transistors having the second conductivity-type. The first transistor-region is configured for a first power domain. The second, third and fourth transistor-regions are configured for a second power domain that is different than the first power domain.

A memory device according to an embodiment of the present disclosure includes a stack structure including a cell region and a contact region, a cell plug located in the cell region and including a channel layer, a support pillar located in the contact region and including a dummy channel layer, and a contact opening contacting the support pillar wherein a thickness of the dummy channel layer is greater than a thickness of the channel layer.

An image analyzer including: an area setting unit configured to extract a scratch area that is an area having no cells from a reference image selected from a plurality of images acquired by imaging cells in a time series and set a reference region corresponding to the scratch area in the plurality of images; a calculation unit configured to calculate an area of a cell region within the reference region and / or the ratio of an area of the cell region to the reference region from the plurality of images; and a control unit configured to cause a display device to display a change in a time series of the calculated area of the cell region and / or the ratio of the area of the cell region to the reference region.

The invention provides a silicon carbide MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) integrated with an SCR (Selective Catalytic Reduction) and a manufacturing method thereof, and relates to the technical field of power semiconductor devices, the device is integrated with a PNPN four-layer structure consisting of a P + region, an N-type epitaxial layer, a P-type body region and an N + source region between a grid electrode and a source electrode, and the P + region is in metal ohmic contact with the source electrode. Through collaborative design of the distance and the doping concentration of the P + region and the N + source region, the forward and reverse trigger voltage thresholds of the PNPN structure can be accurately matched with the asymmetric driving window of the electric control main drive. The structure is arranged on the outer edge of a cellular area or a terminal area, and is electrically isolated from an active area, a field plate is arranged to suppress false triggering, ohmic contact is optimized to accelerate turn-off, and it is ensured that holding current is higher than parasitic latch triggering current, so that rapid and reliable discharge and self-protection of bidirectional surge between a gate and a source are achieved on the premise that the performance of a main device is not affected, and the reliability of the device is improved. And the gate oxide reliability is obviously improved.

Provided is an integrated circuit device including first and second power lines each overlapping a first cell region, an inter-cell separation region, and a second cell region on a substrate in a vertical direction to the substrate, a first power tap cell penetrating through the substrate and receiving a first voltage from the first power line, a second power tap cell penetrating through the substrate and receiving, from the second power line, a second voltage different from the first voltage, and a dummy gate insulating bridge including first and second dummy gate insulating lines, which are apart from each other with the first and second power tap cells therebetween, and defining a vacuum space, and connected to the first and second dummy gate insulating lines.

A method for fabricating a physically unclonable function (PUF) device includes the steps of first defining a PUF cell region on a substrate and then performing a process to form a defect on the PUF cell region. Preferably, the formation of the defect could be accomplished by forming a shallow trench isolation (STI) on the substrate, forming a gate material layer on the substrate and the STI, patterning the gate material layer to form a first gate material layer and a second gate material layer, and then forming an epitaxial layer between and connecting the first gate material layer and the second gate material layer.

The invention provides a dual-stage deep learning-based high-content image binuclear cell automatic identification method, which comprises the following steps of: acquiring a cell image by adopting a high-content imaging technology, obtaining a cell image data set, and preprocessing the cell image data set; based on the YOLOv8 deep learning network, constructing a YOLOv8 binuclear cell coarse detection model, and training the YOLOv8 binuclear cell coarse detection model; sending the cell image into a YOLOv8 binuclear cell coarse detection model to obtain a prediction result; processing a prediction result to obtain a binuclear cell image block in a coarse detection stage; cutting and normalizing the binuclear cell region of interest in the binuclear cell image block tag; performing data enhancement by using a diffusion model to generate a binuclear cell ROI image data set; on the basis of a ResNet50 network, a ResNet50 binuclear cell fine detection model is constructed, the binuclear cell ROI image is sent into the ResNet50 binuclear cell fine detection model, and a prediction result is obtained; and integrating a prediction result with a cell nucleus classification result in the coarse detection stage, and outputting a final classification result.

The application relates to a wireless table structure recognition method and device, equipment, a storage medium and a program product, and relates to the technical field of image recognition. At least one content contour is extracted from a target table image; noise removal processing is performed on each content contour to obtain at least one content region; clustering processing is performed based on the center points of each content region to determine a plurality of cell blocks; horizontal projection is performed on the plurality of cell blocks, and row coordinate information is determined according to the horizontal projection result; vertical projection is performed on the plurality of cell blocks, and column coordinate information is determined according to the vertical projection result; and the table structure is determined according to the row coordinate information and the column coordinate information. The method can reduce noise interference and improve the accuracy of wireless table structure recognition. The plurality of content regions in a cell are subjected to clustering processing, the table cell region can be accurately obtained, deep learning algorithms are not required, resource consumption is low, and the wireless table structure can be simply and effectively recognized.

The present invention relates to the field of image analysis technology, specifically to a method and system for monitoring the preparation process of umbilical cord mesenchymal stem cells, comprising the following steps: based on the umbilical cord mesenchymal stem cell image, image size standardization, noise removal, cell region cropping, grayscale value comparison to remove grayscale value regions below a set threshold, and filtering to eliminate background noise, remove noise points, and extract cell edge information to generate a denoised cell image. In the present invention, by introducing a residual network and convolution operation, cell morphological changes are accurately captured, providing more accurate proliferation state analysis, cell boundary extraction and cycle classification improvements, effectively avoiding the misjudgment of cell state in traditional methods, and deep learning training optimizes image segmentation, making cell cycle division more accurate, ensuring the efficiency and accuracy of the entire monitoring process, and ensuring the standardization and efficiency of the stem cell preparation process.

A semiconductor device includes a trench emitter electrode located at a boundary between one end of an active cell region and an inactive cell region, a trench gate electrode located at a boundary between the other end of the active cell region and the inactive cell region, an end trench gate electrode connected to one end of the trench gate electrode, and an end trench emitter electrode connected to one end of the trench emitter electrode. A hole barrier region of a first conductivity type is provided under a body region of a second conductivity type between the end trench gate electrode and the end trench emitter electrode in a plan view. A body region in the active cell region and a body region in the inactive cell region are connected to each other by a body region between the end trench gate electrode and the end trench emitter electrode.

To provide a semiconductor device with improved HBT withstand capability. [Solution] The semiconductor device comprises a silicon carbide substrate, a field oxide film, an insulating film, and a wiring layer. The silicon carbide substrate has a first main surface and a second main surface which is the opposite surface of the first main surface. In a plan view, the second main surface has a cell region and an outer peripheral region located between the cell region and the outer peripheral edge of the second main surface. Within the silicon carbide substrate, the silicon carbide substrate has a termination structure and a channel stopper formed on the second main surface located in the outer peripheral region. In a plan view, the channel stopper is located outside the termination structure. The conductivity type of the silicon carbide substrate and the conductivity type of the channel stopper is a first conductivity type. The termination structure has a second conductivity type opposite to the first conductivity type. The field oxide film is formed on the second main surface located in the outer peripheral region such that it overlaps the termination structure in a plan view and at least partially overlaps the channel stopper in a plan view.

A semiconductor memory device may include a substrate including a cell region, a peripheral region, and a boundary region therebetween, a plurality of gate electrodes extending in a first direction within the substrate of the cell region, a plurality of bit lines extending in a second direction crossing the first direction on the substrate of the cell region and the boundary region, a plurality of buried contacts connected to the substrate of the cell region and between the gate electrodes and between the bit lines on the substrate of the cell region, a dummy buried contact between the bit lines on the substrate of the boundary region, and a bit line contact connected to at least one of the bit lines on the substrate of the boundary region, wherein the dummy buried contact includes an insulating material.

The present invention relates to the field of microscopic imaging autofocus technology, specifically to a cell autofocus method and system for resisting interference from fluorescent microspheres in hydrogels. A set of hydrogel cell images containing fluorescent microspheres at different focal planes is collected, and for the set of hydrogel cell images containing fluorescent microspheres at different focal planes, the cell area weight and weighted gradient processing are calculated and stored in a preset clarity list; the clarity list is traversed, and the clarity scores of the hydrogel cell images containing fluorescent microspheres at different focal planes in the clarity list are performed to obtain the hydrogel cell image containing fluorescent microspheres with the highest clarity score and its corresponding Z-axis coordinate, and the Z-axis coordinate is used to control a preset motor to achieve autofocus. The present invention can adapt to various fluorescent microsphere densities without being affected by them, and has a wide range of applicability; the algorithm takes into account the presence of all cells in the field of view, is more holistic when focusing, and improves focusing accuracy.