947 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 relates to the technical field of data processing, and discloses a cell image recognition method and system based on model fine tuning, and the method comprises the steps: obtaining a to-be-recognized image comprising a cell image; inputting the to-be-recognized image into a trained cell definition recognition model to obtain a corresponding cell definition; inputting the to-be-recognized image into a trained cell existence region recognition model to obtain a corresponding cell existence region image; inputting the cell region image and the cell definition into a trained cell classification model to obtain a plurality of corresponding cell regions and corresponding cell types; the cell definition identification model, the cell existence area identification model and the cell classification model are obtained based on joint training and fine tuning. Therefore, the cell region and type in the image can be accurately identified by fully utilizing definition factors and prior region identification, and the cell identification precision and efficiency are improved.

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.

A non-volatile memory chip comprises a cell region that includes a first surface, a second surface opposite to the first surface, a first cell structure, and a second cell structure spaced apart from the first cell structure; a peripheral circuit region on the first surface of the cell region, and that includes a first peripheral circuit connected to the first cell structure, a second peripheral circuit connected to the second cell structure, and a connection circuit between the first and second peripheral circuits; a through via between the first and second cell structures and that extends from the second surface of the cell region to the connection circuit of the peripheral circuit region; a redistribution layer that covers the through via on the second surface of the cell region, is connected to the through via, and extends along the second surface; and a chip pad connected to the redistribution layer.

The invention relates to the field of photovoltaic technology, in particular to a photovoltaic backboard, a preparation method thereof and a photovoltaic module. The photovoltaic backboard comprises a base material layer, a structural layer, a reflecting layer and an inner coating, the base material layer is provided with a bearing surface, the bearing surface is provided with a plurality of battery areas and light reflecting areas, and the light reflecting areas are arranged around the battery areas; the structural layer is located on the reflective area, the structural layer is provided with a plurality of raised structures which are arranged in a directional mode, and the included angle between the arrangement direction of the raised structures and the edge of the reflective area is an acute angle; the reflecting layer covers the structural layer; and the inner coating layer is positioned on the battery region. The photovoltaic backboard provided by the invention is high in energy utilization rate, effectively improves the durability and reliability of the photovoltaic backboard, and facilitates the improvement of the power generation efficiency and the service life of a photovoltaic module.

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 provides a signal point identification method and a related product. According to a specific embodiment of the method, instance segmentation is performed on a cell nucleus image based on a cell instance segmentation model, and a cell segmentation result of each cell in the cell nucleus image is obtained; based on a fusion feature extraction model, carrying out image feature extraction on the fluorescence signal point image of each channel to obtain a fusion feature map; then, based on the cell segmentation result of each cell, extracting a cell region fusion feature map of each cell from the fusion feature map; then, based on a cell region mask feature extraction model, obtaining a masked cell region fusion feature map of each cell; and finally, based on a signal point identification model, performing signal point identification on the masked cell region fusion feature map of each cell to obtain a signal point identification result of the corresponding cell in each channel. Therefore, end-to-end cell segmentation and signal point identification can be realized, cell segmentation and signal point identification can be realized based on the cell nucleus image and the multi-channel fluorescence signal point image, cell segmentation and signal point identification can be completed at the same time with fewer model parameters, the calculation amount is saved, and the algorithm processing time is accelerated.

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.

An embodiment of the method includes transferring a first read command corresponding to a first cell region of the memory device through a first channel, receiving first data, read from the first cell region, from the memory device through a second channel physically separated from the first channel, transferring a status information request command through the first channel, the status information request command request the transfer of status information about a second cell region of the memory device, receiving the status information about the second cell region from the memory device through the first channel, and transferring a second read command corresponding to the second cell region of the memory device through the first channel, at least a portion of a period in which the status information is received through the first channel overlaps a period where the first data is received through the second channel.

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.

The embodiment of the invention is applicable to the technical field of biomedicine and image processing, and provides a cell confluence degree calculation method, a cell confluence degree calculation device and computer equipment. According to the method, an adherent cell original image is processed by using opening operation, closing operation and the like in a morphological image processing algorithm, and contrast enhancement is combined, so that the confluence degree of cells is obtained. The original image is optimized by brightness equalization means such as gamma correction, the pixel gradient change of the stem cell region image can be enhanced, and the characteristics of the stem cell image are highlighted. And then, locking a cell region by using an edge detection algorithm, and obtaining a complete cell region through algorithms such as image connected domain calculation, flooding filling and optimized region growth. On the basis, stem cell image cell region segmentation and cell confluence degree calculation can be quickly realized based on a traditional algorithm. By applying the calculation method of the cell confluence degree provided by the embodiment of the invention, the calculation of the cell confluence degree can be quickly and accurately realized.

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.

A semiconductor device having a ring-shaped cell region, a first termination region and a second termination region. The cell region includes a first base region, a source region in the first base region, first and second gate trench structures. The first base region and the source region are sandwiched by the first and second gate trench structure in a plane. The first termination region is surrounded by the ring-shaped cell region in the plane. The second termination region surrounds the ring-shaped cell region in the plane. The first termination region has a round-shaped source trench structure including a source electrode filling in a source trench with a source dielectric layer in between for insulation. The second termination region has a ring-shaped first source trench structure including a source electrode filling in a source trench with a source dielectric layer in between for insulation.

The invention relates to a method and device for displaying content in a table, equipment and a storage medium, and the method comprises the steps: obtaining first data content corresponding to a target cell region in response to a content viewing operation on the target cell region in the table; displaying a preset browsing interface; and displaying the first data content in the browsing interface. Therefore, a more efficient and flexible table content display mode can be realized, and the user experience and the data processing efficiency are improved.

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.

A memory device includes a peripheral circuit structure and a cell array structure vertically overlapping the peripheral circuit structure. The cell array structure includes a plurality of memory blocks divided into a normal cell region and a dummy cell region, and the dummy cell region includes a bit line through-electrode region. The peripheral circuit structure includes a row decoder region in which a unit row decoder circuit connected to each of n (n is a positive integer) memory blocks is arranged, and the bit line through-electrode region is disposed to correspond to the block height of the unit row decoder circuit.

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.

According to one embodiment, a semiconductor memory device includes a first cell region including a plurality of memory cells, a second cell region including a plurality of memory cells, a connection region between the first cell region and the second cell region, and a row decoder for propagating a voltage to word lines in the first and second cell regions via the connection region.

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.

The invention discloses a cell segmentation method and device based on spatial omics sequencing, a storage medium and a program product. The method comprises the following steps: acquiring an acquired signal distribution image; performing initial smoothing operation based on the signal distribution image to obtain an initial smooth distribution image, and performing image segmentation operation based on the initial smooth distribution image to obtain a current cell segmentation region set; a smoothing parameter corresponding to the smoothing operation is adjusted, based on the adjusted smoothing parameter, the smoothing operation and the image segmentation operation are performed on the cell region image in the current first region set, the current cell segmentation region set is updated, the previous screening step is returned until a termination condition is satisfied, and a target second region set is obtained; and obtaining each cell region based on the target second region set.

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 method for fabricating a physically unclonable function (PUF) device includes the steps of firs providing a substrate comprising a magnetoresistive random access memory (MRAM) region, a PUF cell region, and a non-PUF cell region, forming a first metal interconnection on the MRAM region, forming a second metal interconnection on the PUF cell region, and forming a third metal interconnection on the non-PUF cell region. Preferably, the first metal interconnection and the second metal interconnection include patterns of different shapes and the first metal interconnection and the third metal interconnection include patterns of same shape.

A solar cell module (1) includes multiple cell areas (2) and a connector. Each of the cell areas (2) includes a solar cell element. The cell areas (2) are aligned in a first direction in a plane. The solar cell element generates power in response to incident light. The connector electrically connects, in series, the solar cell element in a cell area of the cell areas (2) to the solar cell element in another cell area of the cell areas (2). The solar cell element includes a first electrode layer, a second electrode layer, and a semiconductor layer (4b) between the first and second electrode layers. At least one of the cell areas (2) includes a physical portion (5) adjacent to the semiconductor layer (4b) when viewed in plan. The physical portion (5) includes an insulator or a semiconductor having a bandgap energy level different from a bandgap energy level of the semiconductor layer (4b).