87 results about "Cell pair" patented technology

The invention provides a cell detection map generation method based on deep learning, electronic equipment and a program product. The method comprises the following steps: acquiring a cell image, wherein the cell image comprises an image area corresponding to at least one cell; the cell image is input into a pre-established multi-modal heterogeneous network model based on deep learning, fusion features output by the multi-modal heterogeneous network model are obtained, and the multi-modal heterogeneous network model comprises a first branch unit, a second branch unit and a feature cross attention unit; updating the fusion features based on a pre-established dynamic transfer learning module to obtain updated fusion features; based on a pre-established cell feature decoupling module, decoupling the cell image to obtain a decoupling feature; and generating a cell map based on the updated fusion features and decoupling features. Therefore, the marking dependence is reduced, the artifact interference in the cell map is reduced, and the accuracy and interpretability of the cell map are improved.

Controlling carrier shutdown in a multicarrier cellular network includes a coverage cell in the multicarrier cellular network obtaining information about an active antenna unit (AAU) configuration of one or more capacity cells paired with the coverage cell. The coverage cell transmits information about a coverage cell load and a carrier borrowing capability of an AAU of the coverage cell to a paired capacity cell. And each paired capacity cell determines whether the carrier borrowing of the coverage cell meets the carrier turn-off entry condition of the capacity cell according to the carrier borrowing capability. The OFF carrier borrowing determines a capacity cell that satisfies the carrier OFF entry condition, while if the coverage cell determines that a carrier borrowing condition is satisfied, the coverage cell borrows a carrier of an OFF capacity cell using the AAU configuration of the capacity cell to activate a borrowed carrier.

The invention provides a high-performance cell sorting system and method, a storage medium and a program product, and relates to the technical field of medical engineering.The method comprises the steps that fluorescence signals of liquid drop samples corresponding to cells to be sorted are collected, and the fluorescence signals are converted into electric pulse signals; when the electric pulse signal reaches a set sorting threshold value, a sorting signal is output, the sorting threshold value is determined through one or more control gates, and the control gates are set according to the size of the liquid drop sample and the intensity of the fluorescence signal. And after the sorting signal is received, a high-voltage pulse electric field is applied to the liquid drop sample according to the sorting parameters, dielectric sorting operation is carried out on the liquid drop sample through the high-voltage pulse electric field, and sorted liquid drops are obtained after sorting. According to the cell sorting method and device, the defects that in the prior art, a cell sorting method can only achieve basic threshold value or region sorting, the sorting requirement in a complex scene cannot be met, and efficient and accurate sorting is difficult to achieve are overcome.

The invention discloses a method, a device and equipment for identifying a communication relationship between cells, and a storage medium, and relates to the technical field of bioinformatics, direct causal contribution between the cells is quantified by using a causal association relationship of a source cell gene to a target cell gene, the communication relationship between the cells can have explanatory force at a causal level, and the identification accuracy of the communication relationship between the cells is improved. Further, the overall regulation effect among the cell populations is accurately evaluated. The method comprises the following steps: acquiring gene expression data of different cell types, wherein the different cell types at least comprise source cells and target cells; aiming at the candidate genes of the target cell, constructing different hypothesis models by using the covariable gene set, and determining a causal association relationship between the source cell gene and the target cell gene through the different hypothesis models; and calculating the communication intensity of the source cell to the target cell according to the causal association relationship of the source cell gene to the target cell gene, so as to identify the causal regulation relationship between the cells through the communication intensity.

The invention discloses a wireless communication network frequency planning method based on a genetic algorithm, and relates to the technical field of wireless communication network frequency planning, and the method comprises the steps: collecting network flow, user distribution, base station position, antenna direction and historical interference data, and carrying out the preprocessing of the collected data; integrating the preprocessed data, calculating an interference value, identifying a cell pair with an interference relationship, and evaluating the interference condition in the current network to obtain an interference evaluation result; formulating a dynamic frequency reuse strategy and adjusting a frequency reuse mode based on the interference assessment result as a basis for formulating the dynamic frequency reuse strategy; constructing an interference prediction model by adopting a random forest algorithm, and outputting predicted interference cell pairs and interference degrees; adjusting frequency allocation according to the predicted interfering cell pair and the interference degree; and taking a frequency allocation adjustment result as an initial population optimized by the genetic algorithm, performing fitness evaluation on each individual, and performing iterative updating according to a fitness evaluation result.

A method for a communication device to handle uplink transmissions includes receiving a configuration from a network, where the configuration includes a set of candidate configurations, and each candidate configuration set in the candidate configuration sets comprises a candidate identification, a physical cell identification, a synchronization signal / physical broadcast channel block frequency, a subcarrier spacing of a synchronization signal / physical broadcast channel block frequency, and a subcarrier spacing of a physical broadcast channel block frequency. At least one of a synchronization signal / entity broadcast channel block period and a synchronization signal / entity broadcast channel block transmission power; and performing at least one uplink transmission with a candidate cell according to at least one indicator, where the candidate cell corresponds to a candidate configuration in the set of candidate configurations.

The application relates to the technical field of cell sorting, and specifically provides a feature fusion method and system for high-throughput cell sorting. The method comprises the following steps: acquiring real-time image feature distribution deviation according to real-time image feature distribution and reference image feature distribution, and acquiring real-time spectral feature distribution deviation according to real-time spectral feature distribution and reference spectral feature distribution; calibrating all real-time image features according to the real-time image feature distribution deviation, and calibrating all real-time spectral features according to the real-time spectral feature distribution deviation; for each cell to be sorted, fusing real-time image features and real-time spectral features to obtain a fusion feature vector, and then classifying the cell to be sorted according to the fusion feature vector; the method can effectively improve the long-term stable operation capability, performance repeatability, reliability in standardized application scenarios and reduce the complexity and time consumption of system calibration and troubleshooting of a high-throughput cell sorting system.

The invention relates to the technical field of biomedical treatment, and discloses a cumulus cell stripping quality assessment method and device.The method comprises the steps that on different focusing layers, two focusing images of an ovum to be assessed after cumulus cells are stripped are collected, and the positions of all cumulus cells and the total number of the cumulus cells are recognized; summing the total number of cumulus cells in the two focused images to obtain an initial number; intercepting each cumulus cell in the two focused images, and pairing each cumulus cell in the first focused image and each cumulus cell in the second focused image to obtain a plurality of cumulus cell pairs; identifying the logarithm of the cumulus cell pairs of which the two cumulus cells are the same cumulus cell, and based on the position of each cumulus cell, rejecting the cumulus cell pairs of which the position difference is greater than a preset distance to obtain a possible cell logarithm; and calculating the difference between the initial number and the possible cell logarithm to obtain the number of cumulus cells around the to-be-evaluated ovum, and obtaining the cumulus cell stripping quality of the to-be-evaluated ovum.

The invention relates to the technical field of cell sorting, and particularly provides a feature fusion method and system for high-throughput cell sorting, and the method comprises the steps: obtaining a real-time image feature distribution deviation according to real-time image feature distribution and reference image feature distribution, acquiring a real-time spectral feature distribution deviation according to the real-time spectral feature distribution and the reference spectral feature distribution; calibrating all real-time image features according to the real-time image feature distribution deviation, and calibrating all real-time spectral features according to the real-time spectral feature distribution deviation; for each to-be-sorted cell, fusing the real-time image feature and the real-time spectral feature to obtain a fused feature vector, and then classifying the to-be-sorted cells according to the fused feature vector; according to the method, the long-term stable operation capability, the performance repeatability and the reliability in a standardized application scene of the high-throughput cell sorting system can be effectively improved, and the complexity and time consumption of system calibration and troubleshooting are reduced.

The present application provides a method, device and electronic device for identifying cells in cell clusters. The method for identifying cells in cell clusters includes: identifying at least one cell cluster region image from a digital slice image to be detected; for each cell cluster region image, identifying each single cell region image and a standard cell image from the cell cluster region image; for each single cell region image in each cell cluster region image, comparing the single cell region image with the standard cell image to determine whether the single cell in the single cell region image is a suspicious cell; inputting the suspicious cell image corresponding to each suspicious cell into a trained cell classification model to determine whether there is a target cell of the target type in the digital slice image. The present application can improve the accuracy of identifying target cells in cell clusters.

Embodiments of the present application disclose a method and device for detecting co-coverage cells and electronic equipment. The method comprises receiving a co-coverage cell detection request, and obtaining terminal inter-frequency measurement data of a target co-coverage cell, co-coverage cell information and co-coverage cell switching times according to the co-coverage cell detection request; determining a total number of occurrences of a neighbor set composed of a plurality of co-coverage neighbor cells corresponding to a main coverage cell and a coverage level of the neighbor set according to the terminal inter-frequency measurement data, and determining a candidate co-coverage cell pair corresponding to the main coverage cell according to the total number of occurrences of the neighbor set and the coverage level of the neighbor set; and determining a best co-coverage cell corresponding to the main coverage cell from the candidate co-coverage cell pair based on the total number of occurrences of the neighbor set, the coverage level of the neighbor set, the co-coverage cell switching times, latitude and longitude information and user time advance information. The application can effectively improve the accuracy and efficiency of co-coverage cell identification.

The application provides a battery fault processing method and device, and relates to battery management technology; the method comprises the following steps: identifying voltage abnormalities of a battery collector managed cell group, determining a fault cell pair with adjacent cells and a high-low voltage characteristic; determining a fault type of the fault cell pair based on voltage parameters obtained by balancing the fault cell pair and a preset fault determination condition; the fault type comprises a disconnection fault and a water vapor fault. Through the application, water vapor faults and disconnection faults can be effectively distinguished.

A system, apparatus, method, and non-transitory computer readable medium for providing location management function (LMF) assisted mobility robustness optimization (MRO) may include a radio access network (RAN) node which is caused to, collect network handover information associated with at least one first user equipment (UE) device, determine whether to update a mobility policy associated with the RAN node based on the collected network handover information and a desired threshold condition, perform a first mobility policy update procedure for the RAN node based on results of the determination, receive current location information corresponding to at least one second UE device traveling between the at least one cell pair from a location management function (LMF) network device, and assign updated mobility configuration parameters to the at least one second UE device.

The invention discloses a low-voltage nanosecond pulse platform waveform fitting method, and belongs to the technical field of high-frequency pulse control, and the method comprises the steps: obtaining a set voltage value, calculating the optimal pulse width corresponding to a target cell through a transmembrane voltage formula according to the set voltage value, and calculating the optimal pulse width according to a dose and transmembrane potential accumulation model. Calculating the number of equivalent nanosecond pulse sub-pulses capable of replacing the optimal pulse width, calculating the number of pulse strings according to the total dose set by the optimal pulse width and the number of the equivalent nanosecond pulse sub-pulses, fitting nanosecond pulses, and replacing the optimal pulse width, the calculated nanosecond fitting value, the calculated pulse string number and preset parameters are stored in a storage chip of the pulse platform, the pulse platform calls the storage parameters for energy emission, the low-voltage nanosecond platform can be used for achieving the combined effect of a microsecond platform and a high-voltage nanosecond platform, released bubbles are smaller than those of the microsecond platform, the occurrence rate of embolism is reduced, and the service life of the microsecond platform is prolonged. The released voltage is lower than that of traditional nanoseconds, and the problems of blood fusion and smooth muscle and nerve damage are reduced.

The application discloses a cell screening method and device, electronic equipment and computer program product. The method comprises the following steps: acquiring a first image and a second image; determining a first reference cell corresponding to each of one or more to-be-screened cells from one or more reference cells based on the first image and the second image, and determining a first distance between each of the one or more to-be-screened cells and the corresponding first reference cell; screening one or more target cells from the one or more to-be-screened cells based on the determined one or more first distances, generating a third image, and outputting the third image to a cell cutting system; and the third image represents a mask image for displaying a cell contour of the one or more target cells.

The invention discloses a method and a device used in wireless communication. A first node receives a first RRC signaling, wherein the first RRC signaling indicates at least one candidate cell and at least one corresponding candidate configuration; evaluating whether a first set of conditions for a second cell is satisfied, the second cell being one of the at least one candidate cell; executing a first action; wherein the first action depends on that the first set of conditions for the second cell is satisfied and a first timer; when the first timer is not running, the first action is to apply the candidate configuration for the second cell; the first condition set comprises that the channel quality of the first cell is poorer than a first threshold value, and the first cell is a service cell of the first node; the first timer is directed to the first cell and the second cell pair. According to the invention, frequent back-and-forth switching between two cells can be effectively avoided.

1. The name of the design product: positioning tool (bare cell pairing). 2. The use of the design product: positioning for bare cell pairing. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: perspective view.

This invention discloses a method, apparatus, electronic device, and medium for detecting missing neighbor cell configurations across operators. The method includes: continuously acquiring call detail record (CDR) information from the core network and storing it in a target database; extracting historical CDR data for a first preset period from the target database, sorting each CDR in the historical CDR data according to number identifier and access time to obtain a CDR list; performing difference matching on access time, release time, and cell identifier for adjacent CDRs with the same number identifier in the CDR list, and statistically analyzing missing neighbor cell pairs based on the difference matching results; and determining the missing neighbor cell configuration problem for each cell based on the statistical distribution of the missing neighbor cell pairs. This invention locates missing neighbor cell configuration problems based on CDR information. Even in the absence of neighbor cell handover and MR information from the other operator, it can promptly detect the problem of the other operator missing neighbor cell configurations, thereby promoting the optimization of missing neighbor cell configurations by all operators. It can be widely applied in the field of communication data processing technology.

The invention discloses a method and a device for configuring a neighbor cell for a cell, which are used for improving the effectiveness of configuring the neighbor cell for the cell. The scheme provided by the invention comprises the following steps: obtaining signaling plane receipt information of a communication user of a to-be-configured cell, the signaling plane receipt information comprising signaling process data of switching of the communication user from a resident cell to an adjacent cell, and the signaling process data comprising a signaling process state and cell attribute information; the cell attribute information comprises a cell identifier and indoor and outdoor types; screening abnormal signaling process data from the signaling plane receipt information, wherein the signaling process state of the abnormal signaling process data represents switching failure, and the cell attribute information represents that the communication user executes switching between the indoor cell and the outdoor cell; generating a neighbor missing cell pair based on an indoor cell identifier and an outdoor cell identifier in the abnormal signaling process data; and according to the matching relationship of the cell identifiers in the adjacent cell missing cell pair, configuring the adjacent cell to the cell to be configured.

The utility model discloses a screening device for cell separation. The screening device comprises a shell and a wicking assembly arranged above the shell, an automatic dilution system, a supporting table and a valve are arranged on the surface of the shell, a viscosity monitoring system, a temperature control system and a stirrer are arranged in the shell, and a wicking assembly connected with the supporting table through a telescopic assembly comprises a screening plate and a wicking bundle; the wicking beam adsorbs, separates and screens the cells by virtue of a wicking effect, a capillary action and an adhesion characteristic of the cells to the wicking beam, a stirrer is used for generating eddy current to stir liquid, and the whole cell adsorption screening and separation filtering process does not have too much mechanical friction, so that the problem of physical damage caused by cell separation is solved; the temperature control system can maintain a constant-temperature environment through a temperature sensor and a heating rod, the problem that the cell activity is reduced is solved, after adsorption screening, the shell can be subjected to separation and filtration operation after being cleaned, and the device is more flexible.

The invention discloses a cerebrospinal fluid cell marking method and device, computer equipment and a storage medium, and relates to the technical field of cerebrospinal fluid cell marking, the cerebrospinal fluid cell marking method comprises the following steps: acquiring a cerebrospinal fluid cell image, and performing full-sheet display on the cerebrospinal fluid cell image, the cerebrospinal fluid cell image being an image obtained by performing full-sheet scanning on a cerebrospinal fluid cell smear; in response to a cell frame selection operation for the cerebrospinal fluid cell image, performing cell detection on a selected area, and performing frame selection positioning on cells detected in the selected area by using a square marking frame, the vertical distance between each edge of the square marking frame and the center of the cells being a preset distance; classifying the cells detected in the selected area by using a preset classification model to obtain classification information of the cells; obtaining color information corresponding to the classification information based on a preset mapping relation; and sequentially displaying the color blocks corresponding to the color information and the type names corresponding to the cells above the square marking frame.

The application provides a cell array capture and pairing microfluidic chip, which comprises cell pair units arranged in an array, each cell pair unit being provided with a large micro-trap, three small micro-traps arranged in a sinking interval in the large micro-trap, three groups of electrode pairs and shielding electrodes between adjacent small micro-traps, and the small micro-traps being located between corresponding electrode pairs. The cell capture and pairing microfluidic chip can capture three kinds of cells on the chip in sequence, realize large-scale triple cell array, and arrange the three kinds of cells in the array in one of each kind of cell and three cells as a group for pairing, so that great convenience and possibility are provided for studying three-cell paracrine and other intercellular interactions or cell fusion.

1. The name of this design product: Bare battery cell pairing loading robot. 2. Purpose of this design product: A loading robot used for pairing and positioning bare battery cells. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The application discloses a data processing method and device, a data processing model training method and device, equipment and a medium, and belongs to the technical field of computers. The method comprises the following steps: extracting target expression values corresponding to each candidate gene under a target cell from target gene expression data of the target cell; obtaining target features corresponding to each candidate gene based on the target expression values corresponding to each candidate gene; extracting interaction information of each candidate gene under the target cell based on the target features corresponding to each candidate gene; and obtaining a prediction result corresponding to the target cell based on the interaction information of each candidate gene under the target cell. In this way, the prediction result corresponding to the target cell is obtained based on the interaction information of each candidate gene under the target cell, the interaction information of each candidate gene under the target cell can reflect the functional characteristics of the target cell, and the accuracy of the obtained prediction result is higher.

The invention discloses a method and a system for position detection and real-time calibration of cells in liquid drops of a flow cytometer. According to the method, one-to-one correspondence of cells is ensured by adopting delayed stroboscopic detection, real-time mapping of droplet detection-breakpoint time difference-cell position is realized through sliding window dynamic modeling, and positioning deviation caused by fluid fluctuation, environmental interference and device attenuation is compensated in the whole process by combining abnormal sample removal and model precision self-checking, so that the positioning accuracy of the cells is improved. And the droplet delay calibration is synchronously completed. The vertical position of the cell in the liquid drop can be directly judged, the positioning precision is 5-10 microns, the cell corresponding accuracy rate is larger than or equal to 99%, the sorting purity is improved to 99% or above, the problems that in the traditional technology, only liquid drop delay is calculated, real-time calibration cannot be achieved and the like are solved, and the method is suitable for a high-precision cell sorting scene.

The invention relates to a stack (1), in particular for gas separation, comprising at least two electrochemical cells (2). Each electrochemical cell (2) has a plurality of layers (3), in particular an anode (4), a cathode (5), and a separator (6) that separates the anode (4) from the cathode (5). According to the invention, every two electrochemical cells (2) form a cell pair (7), the cells (2) of which are oriented such that either the cathodes (5) or the anodes (4) face one another, wherein a bipolar plate (8) arranged between two cathodes (5) of one cell pair (7) or the cathodes (5) of two superposed cell pairs (7) is capable of supplying both cathodes (5) with a gas or gas mixture.

The present disclosure provides a method for processing a cell image, an electronic device, and a storage medium. The method includes: obtaining, based on a morphological method, a target cell nucleus map according to an initial image segmentation result of a target cell image, where the target cell image is an image corresponding to at least one cell; obtaining, based on the morphological method, a target cell region contour map according to the target cell nucleus map and the initial image segmentation result; obtaining, based on the morphological method, a target cell contour map according to the target cell region contour map and the target cell nucleus map; and obtaining a target image segmentation result according to the target cell contour map and the target cell nucleus map.

A computer-implemented method of determining confluence of a cell culture is provided. The method comprises receiving (S1), with a computing device (10), image data (200) indicative of an image (201) of at least a part of a container (50) comprising a cell culture (51), splitting (S2) the image data (200) into a plurality of chunks (202), wherein each chunk is associated with an image portion (203) of the image (201), classifying (S3) the plurality of chunks (202) into at least a first class (202a) and a second class of chunks (202b), the first class being representative of chunks (202a) associated with an image portion (203) including a cellular object and the second class being representative of chunks (202b) associated with an image portion (203) including cell-free area, and computing (S4) a confluence value based on determining, for at least a subset of chunks (202b) classified into the second class, a number of chunks having at least one neighboring chunk (202b) classified into the second class.

The invention provides a resident load power prediction method and device applied to an integrated energy system, equipment and a medium, and relates to the field of resident load power prediction. The method comprises the following steps: acquiring historical power data of a resident load; based on the historical power data of the resident load, training a pre-stored memory network model, and obtaining cell state similarities of cells at different moments during training; the memory network model comprises a plurality of cells arranged according to a time sequence, and each cell is provided with an input gate, an output gate and a forgetting gate containing an activation function; and on the basis of the cell state similarity, updating an activation function corresponding to at least one cell in the memory network model to obtain an updated memory network model, repeatedly carrying out model training, and stopping updating until a preset condition is reached to obtain a trained memory network model so as to predict the resident load power data. According to the invention, the model continuously adapts to the time sequence change characteristics of the resident load, so that the accuracy of resident load power prediction is improved.

This invention discloses a frequency planning method for wireless communication networks based on a genetic algorithm, relating to the field of frequency planning technology for wireless communication networks. The method includes: collecting network traffic, user distribution, base station location, antenna orientation, and historical interference data; preprocessing the collected data; integrating the preprocessed data and calculating interference values ​​to identify cell pairs with interference relationships; assessing the current network interference situation to obtain interference assessment results; using the interference assessment results as the basis for formulating a dynamic frequency reuse strategy, and adjusting the frequency reuse mode; constructing an interference prediction model using a random forest algorithm, outputting the predicted cell pairs and interference levels; adjusting frequency allocation based on the predicted cell pairs and interference levels; using the frequency allocation adjustment results as the initial population for genetic algorithm optimization, evaluating the fitness of each individual, and iteratively updating based on the fitness evaluation results.