40 results about "Cell pair" patented technology

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 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 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.

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.

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 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.

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.

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.

The invention discloses a patch clamp-based regulation and control analysis method and a patch clamp-based regulation and control analysis system for electrical stimulation induced tunnel nanotube mediated cell electrical coupling, and relates to the technical field of cell biology. The patch clamp-based regulation and control analysis method for electrical stimulation induced tunnel nanotube mediated cell electrical coupling comprises the following steps: S1, sample preparation and drug intervention: adding at least one signal path inhibitor into a cell bath solution for intervention; s2, performing membrane potential imaging and data analysis; s3, applying electrical stimulation and coupling verification: applying electrical stimulation in a specific mode to one cell in the tunnel nanotube connection cell pair by using patch clamp equipment, and executing membrane potential imaging and data analysis; s4, measuring the traction force of the cells; s5, analyzing membrane potential change and traction force change; through accurate electrical stimulation and multi-parameter monitoring, the regulation and control mechanism of tunnel nanotube mediated cell electrical coupling is deeply analyzed, and an effective means is provided for research of intercellular signal transmission.

This application relates to a method, apparatus, computer equipment, storage medium, and program product for the quantitative evaluation of trophectoderm. The method includes: acquiring target parameters such as the geometric parameters of the closed region containing the trophectoderm in the embryo to be evaluated, the total number of cells included, the cell area of ​​each cell, and the total number of adjacent cell pairs; obtaining standardized quantitative indicators, density indicators, and homogeneity indicators of the trophectoderm based on the target parameters; and obtaining evaluation results by quantitatively evaluating the trophectoderm based on the standardized quantitative indicators, density indicators, and homogeneity indicators. This application provides a calculable, standardized, and comparable quantitative evaluation method for trophectoderm, improving the objectivity, consistency, and repeatability of quantitative evaluation of trophectoderm in blastocysts.

The application provides a kind of photoelectric tweezers dynamic cooperative motion planning method for multi-cell parallel manipulation, belongs to cell manipulation technical field, method includes: step 1, the current position and end position of target cell are acquired, and the environmental information of current time;Step 2, according to the current position, end position of target cell, generate feasible scheme set, including: at least one feasible scheme, each feasible scheme includes the moving path corresponding to each target cell;Step 3, according to environmental information, based on the constraint condition and path cost calculation function pre-set, determine the optimal feasible scheme from feasible scheme set, the optimal feasible scheme refers to, the feasible scheme set meets the constraint condition, and the total path cost lowest feasible scheme;Step 4, utilize photoelectric tweezers to control target cell and move at least one node according to optimal moving path;Step 5, repeat the above steps 1-4, until target cell reaches end position.

The present invention provides a plant cell injection system that is automatically controlled under conditions specialized for plants. This method for introducing a substance into a plant cell comprises: a) a step for positioning a nano-pipette at a cell-corresponding position; b) a step for moving the nano-pipette to a predetermined position toward a cell on the basis of an electric current between the inside of the nano-pipette and an electrolytic solution; c) a step for moving, for a configured puncture distance, the nano-pipette toward the cell and puncturing the cell; d) a step for applying a voltage to discharge the substance into the cell; and e) a step for extracting the nano-pipette.

This application discloses a cell detection method, apparatus, device, and medium, generally relating to the field of computer technology, and specifically to the field of visual recognition. The method includes: given that a conventional slice includes a target slice outline corresponding to a target organ, calculating cell outline data in the target slice outline using a first model, wherein the first model is a model trained with labeled cell outline data for recognizing cell outlines, and the cell outline data includes attribute parameters of the cells in the target slice outline; if the target attribute parameter of the cell outline data is greater than a preset threshold, determining that the target cell is implanted in the target organ, wherein the target attribute parameter includes at least one of the following: cell density of the first cell in the target slice outline, number of cell clusters corresponding to the first cell in the target slice outline; the target cell includes a target cell; and the cell size parameter of the first cell is a cell within a preset size threshold range.

The application discloses a kind of intercellular communication relationship identification method, device, equipment and storage medium, involve bioinformatics technical field, the causal relationship of source cell gene to target cell gene is used to quantify the direct causal contribution between cells, can let intercellular communication relationship have the explanatory power of causal level, and then accurately assess the overall regulation effect between cell population.The method comprises: obtaining gene expression data of different cell types, different cell types at least include source cell and target cell;For the candidate gene of target cell, use covariate gene set to construct different hypothesis models, to determine the causal relationship of source cell gene to target cell gene by different hypothesis models;According to the causal relationship of source cell gene to target cell gene, the communication intensity of source cell to target cell is calculated, to identify the causal regulation relationship between cells by communication intensity.

A method of introducing a substance into a cell includes a) seeding floating cells on a gel plate medium having a specific hardness, b) filling the gel plate medium seeded with cells with an electrolytic solution and positioning a nanopipette filled with a substance at a cell-corresponding position in the electrolytic solution, c) measuring a current between an inside of the nanopipette and the electrolytic solution and moving the nanopipette in a cell direction to a position at which a drop rate from a steady state current is a set current drop rate, d) moving the nanopipette in the cell direction by a set penetration distance to puncture a cell, e) applying a voltage between the inside of the nanopipette and the electrolytic solution to eject the substance into the cell, and f) removing the nanopipette.

The invention discloses a cell preservation method and application, and the cell preservation method comprises the following steps: obtaining a target cell, and fixing the target cell; wrapping the fixed target cells with gel; the gel contains carbomer, a protease inhibitor, a cell permeation agent, a preservative and a buffer component, and directly preserving the target cells wrapped by the gel or embedding the target cells in paraffin to obtain a cell paraffin block for preservation. The cells fixed by the method can be directly preserved for a long time at 4 DEG C without dehydration, transparency and embedding, the gel concentration is adjusted to be liquefied before use, and the fixed gel can be removed by centrifugation; or paraffin embedding can be carried out according to a general process after gel wrapping, and paraffin is sliced before use. Therefore, the cell protein can be stored for a long time without complete denaturation, and meanwhile, an antigen repair process is not needed during use, so that the time is saved, and the efficiency is improved.

The application provides a cyclone array chip and a cell screening device and method, the cyclone array chip comprises four cyclone units, which are one three-pipe cyclone unit and three two-pipe cyclone units; the cell screening device comprises the cyclone array chip, a solution collector, an electron microscope, a syringe pump and a suction pump, the cyclone array chip is installed on the solution collector and is connected with the syringe pump and the suction pump, and the electron microscope is used for collecting cell image information; the cell screening method is that cells are output from the bottom microchannel of the three-pipe cyclone unit, the cells are captured under the action of low pressure of a cyclone stagnation point, and a target cell is identified by using an image analysis technology, the target cell is induced to the two-pipe cyclone unit through the bottom microchannel of the two-pipe cyclone unit and suction, so that cell screening is realized. The application realizes the integration of cell screening, can identify cells with different sizes, shapes and physiological phenotype characteristics, has no mechanical damage to the cells, and improves the success rate of experiments.

Embodiments of the present application provide a positive cell detection method, system, device and medium, relating to the technical field of medical detection, the method comprising: obtaining sample cells, and marking cells with two signal points in the sample cells as target cells; obtaining the signal interval between the two signal points in each target cell, and dividing the target cells according to a plurality of preset signal intervals to obtain a plurality of division results; obtaining the clinical diagnosis result corresponding to the sample cells, and determining a target result from the plurality of division results according to the clinical diagnosis result; determining a target signal interval from the plurality of preset signal intervals according to the target result, and taking the target signal interval as the positive cell detection standard. The present application defines the detection standard of positive cells, and improves the accuracy and efficiency of positive cell detection.

A computer-implemented method optimizes frequency assignments in a mobile communications network by specifying unplanned cells and potential frequencies for each cell, calculating frequency interference probabilities between cell pairs, formulating a stress function with terms connecting interference probabilities and frequency relations, and using a quantum concept processor to minimize the stress function for optimized frequency assignments.

A NOR flash memory array is disclosed, comprising: multiple cells organized in rows and columns, each cell comprising a channel region, a charge storing material, a control gate, a source region and a drain region, the cells along a predefined direction being arranged in cell pairs such that each cell pair shares a common source region that is encircled by a source halo implant region. The source halo implant region has the same conductivity type as the substrate, and the source halo implant region has a higher impurity concentration than a drain side of the channel region. The invention enhances the ChiTel programming efficiency and improves the short channel margins for the gate lengths of memory cells less than 100 nm in NOR flash memory array.

Provided is a method for determining a status of a sample comprising a co-culture comprising a target cellular object. TCO (520), and one or more stroma-forming cell types. SCT (510, a to b), wherein: the TCO (520) has been labelled with a fluorescent live-cell marker having a first emission / excitation profile, and the SCT (510, a to b) has been labelled with a fluorescent live-cell marker having a second emission / excitation profile different from the first emission / excitation profile, the method comprising the steps: capturing, during an acquisition event using a microscope, a dataset comprising: a first fluorescent image from the fluorescent live-cell marker having the first emission / excitation profile, and a second fluorescent image from the fluorescent live-cell marker having the second emission / excitation profile, and wherein: at least one dataset is captured, for each dataset, a stroma (512) is identified for the TCO (520), wherein: a stroma (512) comprises at least one cluster (514, a to d): a cluster (514, a to d) comprises a plurality of cells of the SCT (510, a to b), and each SCT (510, a to b) cell in the cluster (514, a to d) directly contacts the TCO (520) or indirectly contacts the TCO (520) via one or more other SCTs (510, a to b) cells, wherein the status of the sample is determined from at least one parameter of the stroma (512).

The present disclosure provides a functional unit quality control method and device, electronic equipment and storage medium, belonging to the field of biological information technology. The method comprises: acquiring spatial transcriptome data of a target slice, and performing cell type annotation on each cell in the target slice according to the spatial transcriptome data to obtain a target cell type of each cell in the target slice; calling a functional unit prediction model, and predicting a candidate functional unit with a spatial structure of the target slice according to the target cell type of each cell in the target slice and the spatial distance between the cells; determining the communication intensity of the to-be-analyzed cell according to the communication intensity of the cell pair in the spatial transcriptome data of the target slice for each cell pair containing the to-be-analyzed cell in the candidate functional unit; and filtering the to-be-analyzed cell in the candidate functional unit according to the communication intensity of the to-be-analyzed cell to obtain a target functional unit. The embodiments of the present application can reduce the false positive rate of the functional unit prediction result.

The present disclosure relates to an intelligent event imaging flow cytometer, comprising a microfluidic system, an optical system and a hardware processing system. The microfluidic system is used for continuously importing a cell sample comprising at least two kinds of cells, and exporting each kind of cell according to the classification result fed back by the hardware processing system. The optical system is used for jointly irradiating the cell sample by a bright field light source and a fluorescent light source, and collecting multiple double-channel coupling information simultaneously comprising bright field cells and fluorescent cells. The hardware processing system is used for obtaining the classification result of the target cell according to multiple target coupling information corresponding to the target cell determined in the double-channel coupling information, and feeding back the classification result to the microfluidic system. In the present disclosure, the cell classification in the cell sample can be realized through the information interaction transmission of the three systems, which simplifies the overall structure of the cytometer. At the same time, the cell classification result is improved in accuracy by jointly judging the cell classification through the cell characteristics collected under the bright field and fluorescent light sources.

The invention belongs to the technical field of space computing and cell biological feature recognition, and provides a cell space arrangement evaluation method and system for a multi-modal image, and the method comprises the steps: carrying out the preprocessing of a cell image, and carrying out the graying of the cell image, and obtaining a preprocessed image; performing edge detection on the preprocessed image to obtain a cell region; recognizing a cell migration region through each cell region; a cell migration area is repaired in a cell image and is output as a final segmentation image, the cell coordinate and size of a focus are accurately identified by removing linear character or dotted migration cells tending to be linearly discrete, the influence of a common cell area which is not completely covered by small-scale discrete lymphocyte aggregation focus can be eliminated, and the accuracy and the accuracy of cell segmentation are improved. Proximity calculation between cell pairs can be carried out in batches, and the accuracy of subsequent biological feature recognition analysis or counting is improved by repairing cell images.