112 results about "Cell number" patented technology

Disclosed are methods and apparatuses for signaling overhead optimization for aerial user equipment (e.g., an unmanned aerial vehicle). An embodiment of the subject application provides a UE including: a processor; and a wireless transceiver coupled to the processor, wherein the processor is configured to, with the wireless transceiver: transmit a measurement report in response to that a cell number of a local maintained cell list becomes equal to or less than a report on leave threshold due to removal of at least one neighbor cell fulfilling a leave condition from the local maintained cell list, wherein the processor is enabled with report on leave for multi-cell trigger; and / or transmit flight path available information in at least one message in response to flight path information being available and a preconfigured or configured condition being met.

Methods, systems, and devices for enumerating the number of cells present in each event for cell-secretion based sorting applications are described herein. The cell secretion applications use carrier to encapsulate cells and collect the biomolecules they secrete. The carriers are then sorted using flow based particle sorting. The total number of cells present in a carrier is very important for several applications. A convolutional neural network is used to count the number of cells present from a brightfield image, and outputs the information to be used as part of the sort logic.

The invention discloses a preparation method and application of a photo-thermal biosensor for tumor cell quantification and vitality dual-index liquid biopsy. Phosphatidylserine (PS) is exposed by enriching and cracking tumor cells, is identified and combined by an aptamer Apt2, and is driven to be separated from Apt2-Cu2-xTe NSs; after magnetic separation, separated supernatant is subjected to photo-thermal detection; the photo-thermal signal intensity is positively correlated with the number of cells, so that quantitative detection is realized; during cell apoptosis, PS is turned out of the membrane, Apt2-Cu2-xTe NSs is combined with the surface of the membrane, separated supernatant is subjected to photo-thermal detection after magnetic separation, and the photo-thermal signal enhancement amplitude is in negative correlation with cell activity. The platform has the advantages of POCT characteristics, low cost and portability, and a new tool is provided for precise tumor diagnosis and treatment.

The invention relates to the technical field of lithium ion battery safety monitoring, and discloses a method and a device for early warning and positioning thermal runaway of a lithium ion battery pack in advance. The method comprises the following steps: firstly, collecting real-time voltage, temperature, current and serial number data of each battery cell, and constructing a battery cell state observation tensor with a time-space label; running a battery cell thermoelectric state extended Kalman estimation algorithm based on the tensor to generate a battery cell health state partial sequence lattice; and then constructing a thermal runaway risk propagation phase space grid, finally executing manifold analysis-based local attractor region identification and early warning decision under the constraint of the grid, and outputting a high-risk source cell number and an early warning level. According to the invention, the problems of early warning lag, lack of cell group state consistency dynamic evaluation and incapability of accurately positioning fault cells caused by dependence on later physical symptoms in the prior art are solved, and the thermal runaway early warning timeliness and positioning accuracy are improved.

The invention provides a cell growth remote real-time analysis and monitoring method, which comprises the following steps: acquiring at least two cell images of a to-be-monitored area acquired at a preset acquisition interval, and inputting the cell images into an instance segmentation module obtained through training to obtain a first cell feature, fusing the first cell feature and the second cell feature to obtain a cell image feature of the current cell image; and arranging the cell image features of the plurality of cell images according to an acquisition time sequence to form a cell feature sequence, and inputting the cell feature sequence into a prediction module obtained through training to obtain a predicted cell number and a predicted fusion degree of the to-be-monitored cells. According to the scheme, by constructing the instance segmentation module and the prediction module, the cell number and the fusion degree are predicted by performing instance segmentation on the cell image and combining the environmental information in the cell growth process.

In a bioprinting system and method, a bioprinter may include one or more reservoirs, a printhead, and a print surface on which the bioprinting is dispensed. An optical system may collect imaging data of a plurality of cells within a cross-linkable material during and / or after passage of the plurality of cells through the bioprinting system. A computing system may generate, via a machine learning algorithm executing on the image data, a plurality of segmented regions in the image data, wherein each segmented region in the plurality of segmented region defines a boundary around a different set of cell aggregates in the plurality of cells, identify a first segmented region in the plurality of segmented regions that defines a boundary around at least a visible portion of a first cell aggregate, wherein the first cell aggregate includes an occluded portion, determine, based on an estimated shape of the first cell aggregate, an extrapolated boundary around at least some of the visible portion of the first cell aggregate and at least some of the occluded portion of the first cell aggregate, compute a quantity of cells within the first cell aggregate based on an area surrounded by the extrapolated boundary, and determine one or more parameters associated with the plurality of cells, the material flow, or the bioprinting system based on the quantity of cells.

The present invention discloses a method for simulating the tumor blood vessel growth process, comprising constructing a two-dimensional discrete coordinate system based on a two-dimensional tumor model and defining a blood vessel index function that describes the cell grid properties of the cell grid; updating the cell number, oxygen concentration, fibronectin concentration, and growth factor concentration of each cell grid at preset intervals t; predicting the movement direction of the blood vessel tip within the current time period t based on the fibronectin concentration and growth factor concentration; calculating a first predicted extension distance and a second predicted extension distance based on the movement direction within the current time period t and the movement direction within the previous time period t; and updating the cell grid properties of each cell grid in the two-dimensional discrete coordinate system based on the movement direction within the current time period t, the vessel tip's existence time, and the movement extension distance calculated from the vessel tip. The present invention incorporates oxygen concentration and cell number into the tumor blood vessel growth model to achieve accurate simulation and prediction of the tumor blood vessel growth process.

ABSTRACT:An instrument for processing droplets in a microfluidic system. The instrument captures a time sequence of images of a droplet as it passes through a channel in a microfluidic system. The instrument also processes each image of the sequence of images using a convolutional neural network to count a number of cells or other entities visible in each image the droplet. This involves processing the count of the number of cells or other entities visible in each image of the droplet to determine an estimated number of cells or other entities in the droplet. The instrument controls a microfluidic process performed on the droplet, e.g. droplet dispensing, responsive to the estimated number of cells or other entities in the droplet. The instrument uses the changing orientation and disposition of droplet contents in combination with machine learning to improve monoclonality assurance.

Embodiments of the disclosure provide bandwidth adjustment method applicable to sending end, the sending end periodically sends cells to receiving end, and a number of cells sent in each period is n, where n is an integer greater than or equal to 2; in each period, the sending end occupies a cell having a number that is within a bearer cell group of the sending end, the occupied cell is capable of carrying service information, and the method includes: sending adjustment information including adjustment operation to the receiving end, with the adjustment operation being adding a cell number to be adjusted to the bearer cell group of the sending end, or deleting the cell number to be adjusted from the bearer cell group of the sending end; and receiving confirmation information sent by the receiving end, and performing the adjustment operation. Embodiments of the disclosure further provide a terminal.

The invention discloses an MPPT (Maximum Power Point Tracking) control method based on a plant cell population-incremental conductance method composite algorithm, which relates to the field of maximum power point tracking of a photovoltaic power generation system under partial shading, and comprises the following steps: S1, setting parameters such as cell number N, maximum growth times M, auxin concentration threshold and the like, and initializing cell positions; s2, calculating the sunshine amount in contact with each cell, and updating the maximum value of the strongest illumination position and the sunshine amount in contact with the cells; s3, distributing auxin for the cells, and calculating the growth speed of the cells; s4, completing primary growth of the cells, and updating the plant cell population; s5, judging whether a termination condition is met or not, and if yes, entering a conductance increment method; otherwise, returning to the step S2; and S6, further adjusting the duty ratio D by adopting an incremental conductance method on the basis of the plant cell group algorithm. The maximum power point tracking method combines the advantages of high global search capability of the plant cell group algorithm and high search speed of the conductance increment method, and can rapidly and accurately track the maximum power point under complex conditions.

The invention relates to the technical field of image processing, and discloses a cell counting method, device and equipment, a storage medium and a program product, the method comprises the following steps: acquiring cell images and cell marking information corresponding to the cell images one by one; inputting the cell image into a pre-constructed cell prediction model to obtain cell prediction point information corresponding to the cell image; the cell prediction point information comprises cell prediction point position information and confidence values in one-to-one correspondence with cell prediction points; based on the cell marking information and the cell prediction point information, performing one-to-one matching on the reference points corresponding to the cell image and the cell prediction points to obtain a matching result; and adjusting a cell prediction model based on the matching result, wherein the cell prediction model is used for predicting the cell position and the cell number. The cell prediction model is obtained through training, counting and positioning of the cells can be achieved at the same time, and the positioning precision and counting performance of the cells are effectively improved.

A method, apparatus, and system for calculating cell concentration are disclosed. The method includes: determining an effective measurement region of a cell container, the cell container including a first encapsulation layer, a second encapsulation layer, and a solution cavity disposed between the first and second encapsulation layers; a first positioning mark is disposed on one side of the first encapsulation layer facing the solution cavity, and a second positioning mark is disposed on one side of the second encapsulation layer facing the solution cavity; dividing the effective measurement region into multiple sub-regions; focusing and acquiring an image of each sub-region; detecting the number of cells in each image and summing the number of cells in multiple images to obtain the total number of cells in the effective measurement region; focusing on the first and second positioning marks to obtain a first original cavity thickness; multiplying the first original cavity thickness by a preset adjustment coefficient to obtain an adjusted cavity thickness; calculating the volume of the effective measurement region based on the adjusted cavity thickness; and calculating the cell concentration based on the total number of cells and the volume of the effective measurement region.

The invention discloses an instrument for detecting the property of pleural effusion and a working method thereof, and relates to the technical field of medical diagnosis, and the instrument comprises a probe for measuring the density, temperature and pH value of effusion; the signal processing module is used for processing signals acquired by the probe; the data analysis module is used for analyzing the processed signal based on a preset algorithm and judging the property of the effusion; the display module is used for displaying detection results including the property, the density, the temperature and the pH value of the effusion, the database module is used for storing property data of various effusions for comparison by the data analysis module, and the probe is made of a bendable flexible material. According to the instrument for detecting the properties of the pleural effusion and the working method of the instrument, the properties, such as the protein content, the cell number and the pH value, of the effusion can be detected through physical parameters under the condition that the effusion is not extracted, so that a doctor is assisted in rapidly judging the type of the effusion.

This invention discloses a single-cell spatial annotation method that integrates image and sequencing data. It obtains candidate cue point locations, cell nucleus instance segmentation masks, and cell nucleus type probability vectors by processing full-field H&E stained tissue images. It also obtains a preprocessed spatial transcriptome raw sequencing matrix and corresponding cell type labels by processing the raw spatial transcriptome sequencing matrix. Each capture site and its corresponding integrated data structure are constructed. Based on rigid constraints on the number of cells allocated to each type within each capture site and main type quota constraints, the main type annotation is written. For cells in the intercapture zone, one or more neighboring capture sites with existing annotation results are found. The main type and cell subtype of the intercapture zone cells are inferred through morphological feature similarity calculation, thus obtaining the annotation result. This solves the problem that existing technologies cannot determine the exact type of each cell in ST-sequencing tissue.

A method of using the relaxation rate (R1 and / or R2) of solvent NMR signal to non-invasively estimate cell counts in cell cultures prepared under similar conditions as well as to use wNMR to measure cell viability. The methods can simply, rapidly, and non-invasively monitor the growth, health, and aging status of a cell culture, without any sample preparation or reagent (e.g., a dye) addition.

An automatic liquid handling device comprises: a deck, located at the bottom, for accommodating one or more racks; a pipetting device, placed above the deck, capable of three-dimensional movement by an actuator, for aspirating and dispensing samples by coupling pipette tips to a probe; a tip optical system, mounted on the deck, for imaging a cell mixture aspirated into the pipette tip from a sample container at the counting position; a cooling module that holds a sample container accommodating a cell mixture containing cells or cell clusters, to keep the cell mixture cool; and a control module for calculating the number of cells based on the taken image of the cell mixture aspirated into the pipette tip and controlling the operation of the pipetting device according to a pre-programmed method, wherein the control module calculates the number of cells on the basis of the taken image of the pipette tip.

The invention provides a battery cell installation detection method, system and device and a storage medium, and relates to the technical field of battery manufacturing, and the method comprises the steps: obtaining a detection signal triggered by a to-be-detected battery cell module at a detection station, and recognizing the key features of the to-be-detected battery cell module; based on the key features, obtaining the cell number, the cell polarity arrangement sequence and the cell placement angle of the to-be-detected cell module, and judging the installation result of the to-be-detected cell module according to the cell number, the cell polarity arrangement sequence and the cell placement angle; if the installation is qualified, conveying the current battery cell module to the next process; if the installation is not qualified, conveying the current cell module to a manual detection station, and generating an abnormal installation picture; and conveying the battery cell module processed at the manual detection station to the detection station for re-detection. In this way, the battery cell modules which are recognized to be abnormal are conveyed to the manual detection station, the mounting abnormity picture is displayed for troubleshooting, meanwhile, the next group of battery cell modules continues to be detected at the detection station, and automatic and efficient mounting detection of batched battery cells is achieved.

1. Name of the product in this design: Cell Measurement Plate. 2. Purpose of this design: This design is used to hold cell fluid for calculating cell count. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1. 5. Other situations requiring explanation: The entire product of this design is made of transparent material.

The present invention relates to a sampling chamber measurement method, device, computer equipment and storage medium. The measurement device includes a chamber body and a sampling needle with a part disposed in the chamber body; it also includes a light source and a detector. The present invention also provides a sampling chamber measurement method, including steps: calculating the initial sample volume; calculating the sample volume at the current moment; calculating the current sample running speed; calculating the number of cells that can be sorted; calculating the total number of cells to be sorted theoretically. By setting the light source and the detector, the detection light emitted by the light source undergoes refraction or scattering after passing through the container and the sample. According to the state of the sample, detection light with different signal intensities can be obtained. Based on the data such as the detection light with different signal intensities, the number of detectors, and the container volume, the initial sample volume, the sample volume at the current moment, the current sample running speed, the remaining sample running time, the number of cells that can be sorted, and the total number of cells to be sorted theoretically can be calculated in sequence.

The invention provides a single cell ATAC sequencing library construction method and a kit, the construction method comprises the following steps: (1) subpackaging a cell sample into a porous plate, adding a mixed solution containing a first transposon and a second transposon into each pore, and co-incubating to obtain a cell containing fragmented DNA; (2) carrying out splitting decomposition on the cells containing the fragmented DNA, and retaining the fragmented DNA; and (3) amplifying the fragmented DNA to obtain the sequencing library. The construction method is high in transposition efficiency, not limited by a microfluidic or microwell plate platform, appropriate in label combination information amount, low in requirements for the cell number, the cell type and the tissue state, suitable for a conventional double-end sequencing platform, high in sequencing data quality and high in application value.

The invention discloses a cell voice mode switching method and device and computer equipment. The method comprises the following steps: respectively acquiring packet loss rate data and measurement report data of a plurality of users in a network slice; associating the packet loss rate data with the cell number and the measurement report data to obtain an initial data set; deleting data in the initial data set in the cell switching time period to obtain a processed data set; screening users with unchanged positions in a preset time period in each cell from the processed data set, and determining the users as target users; determining a reference signal receiving power fluctuation curve of the target user of each cell according to the reference signal receiving power of the target user, and determining a reference signal receiving power threshold value of each cell based on the reference signal receiving power fluctuation curve of each cell; and switching the voice mode of each cell according to the reference signal receiving power threshold value of each cell.

The embodiment of the invention provides a communication method and device, relates to the field of communication, and is used for reducing the situation that CSI-RS measurement resources of different network devices conflict and improving the accuracy of a CSI-RS measurement result. In the method, a first network device can determine a resource of a reference signal of a first cell according to a first cell number uniquely identifying the first cell of the first network device, and send the reference signal to a terminal device in the first cell according to the resource of the reference signal of the first cell. The first cell belongs to one of the plurality of cells, and the resource of the reference signal of each cell in the plurality of cells can be determined according to the respective cell number of each cell, and based on the unique cell number corresponding to each cell in the plurality of cells, the resource of the reference signal of each cell in the plurality of cells can be determined. According to the embodiment of the invention, the resources of the reference signal corresponding to each cell in the plurality of cells are different, and the condition that the reference signal measurement resources of different network devices and different cells of the same network device conflict is reduced.

The invention discloses an entry mode determination method and device and electronic equipment. The method comprises: obtaining a network element group table corresponding to a plurality of traffic modes, the network element group table comprising at least one of the following: a base station cell number, a cell name and a scene name corresponding to the traffic mode; base station cells occupied by foreign entry tourists in a preset entry time period are determined from mobile depth data packet detection (DPI), a tourist entry time trajectory table is obtained, and the tourist entry time trajectory table at least comprises the base station cells occupied by the foreign entry tourists and geographical location information corresponding to the base station cells occupied by the foreign entry tourists; and according to the geographical location information in the tourist entry time trajectory table and the geographical location information corresponding to each cell name in the network element group table, determining the traffic mode used by the foreign entry tourists during entry. According to the invention, the technical problem of misjudgment of an entry mode caused by incomplete base station network element group information of a traffic scene in related technologies is solved.

The invention discloses an influence parameter optimization method and device for a cascaded SOFC system, the method is applied to the cascaded SOFC system, and the method comprises the steps: obtaining influence parameters of the cascaded SOFC system, the influence parameters at least comprising a battery number ratio and a shunt ratio of a first-stage electric pile and a second-stage electric pile; the influence parameters are sequentially changed, a pre-established target system model is utilized, the system electric efficiency and the average net power under the condition that the influence parameters are changed are calculated, the target system model is established according to the net alternating current power of the system, and the net alternating current power of the system is determined at least according to the total power generation power of the first-stage electric pile and the second-stage electric pile; and screening a target influence parameter from the changed influence parameters according to the calculated system electrical efficiency and the calculated on-chip net power. According to the method, the influence parameters of the cascaded SOFC system can be optimized, so that the requirements of different application scenes can be met, the electric efficiency of the cascaded SOFC system is effectively improved, and the operation cost is reduced.

The present invention relates to the field of biomedicine and particularly provides a method for identifying a target. The method specifically comprises determining the number of target-adjusting systems of a plurality of cells to be tested to determine the influence of adjusting a candidate target on cell function; and before and / or during the determination, adjusting the expression or activity of the candidate target in said plurality of cells by means of the plurality of target-adjusting systems, wherein each of the target-adjusting systems targets a different candidate target site, and during the determination, the number of said cells is at least 5 times the number of the target-adjusting systems. Further provided is a system for identifying a target.

The application relates to the technical field of biochemistry, and provides a cell counting method and a cell counting device of a micro-fluidic chip. The cell counting method of the micro-fluidic chip comprises the following steps: controlling a cell solution to fill a plurality of flow channels with height differences; collecting a target image corresponding to a set region in each flow channel, obtaining a cell clumping rate corresponding to each flow channel based on the target image, and determining a flow channel with the lowest cell clumping rate as a calculation flow channel; wherein the cell clumping rate is the ratio of the number of cell groups in the set region to the total number of cells; obtaining a calculation cell number in a target region of the calculation flow channel; obtaining a preset volume corresponding to the target region based on the area of the target region and the height of the calculation flow channel, and determining the ratio of the calculation cell number to the preset volume as the concentration of the cell solution. The cell counting method of the micro-fluidic chip provided by the application provides the cell solution with a flow channel with a suitable height, so that the cell solution is uniformly distributed in the flow channel as much as possible, and the cell counting accuracy is higher.

An automatic liquid handling device comprises: a deck, located at the bottom, for accommodating one or more racks; a pipetting device, placed above the deck, capable of three-dimensional movement by an actuator, for aspirating and dispensing samples by coupling pipette tips to a probe; a tip optical system, mounted on the deck, for imaging a cell mixture aspirated into the pipette tip from a sample container at the counting position; a cooling module that holds a sample container accommodating a cell mixture containing cells or cell clusters, to keep the cell mixture cool; and a control module for calculating the number of cells based on the taken image of the cell mixture aspirated into the pipette tip and controlling the operation of the pipetting device according to a pre-programmed method, wherein the control module calculates the number of cells on the basis of the taken image of the pipette tip.

Systems and methods for automated stereology using deep learning are disclosed. The systems include an update in the form of a semi-automatic approach for ground truth preparation in 3D stacks of microscopy images (disector stacks) for generating more training data. The systems also present an exemplary disector-based MIMO framework where all the planes of a 3D disector stack are analyzed as opposed to a single focus-stacked image (EDF image) per stack. The MIMO approach avoids the costly computations of 3D deep learning-based methods by using the 3D context of cells in disector stacks; and prevents stereological bias in the previous EDF-based method due to counting profiles rather than cells and under-counting overlap-ping / occluded cells. Taken together, these improvements support the view that AI-based automatic deep learning methods can accelerate the efficiency of unbiased stereology cell counts without a loss of accuracy or precision as compared to conventional manual stereology.

The tumor cell migration characteristic analysis method, device, storage medium and related equipment provided in the present application can, when analyzing the migration characteristics of tumor cells, first obtain the fluorescent microscopic image corresponding to the tumor cells in the migration channel at each preset acquisition time, so that the number of cells on each sensing electrode in each fluorescent microscopic image can be counted and the statistical results can be obtained; then, the present application can also collect the electrophysiological signals generated by the tumor cells during the migration process captured by each sensing electrode on the microfluidic electrode array chip within the preset acquisition period, and use fast Fourier transform to obtain the power spectral density distribution corresponding to the electrophysiological signal. Based on the statistical results and the power spectral density distribution, the spike signal corresponding to each sensing electrode is extracted from the electrophysiological signal, and the spike occurrence frequency of each sensing electrode is determined; then, based on the statistical results and the spike occurrence frequency of each sensing electrode, the migration characteristics of the tumor cells are determined.

The application relates to a single-cell Hi-C clustering method and system based on contact number weight smoothing and feature fusion, which comprises the following steps: (1) data preprocessing; (2) contact number weight-based smoothing; using a weight matrix to quantify the influence of different neighbor fragments on a target chromosome fragment; (3) restart random walk smoothing; using a restart random walk algorithm to perform smoothing processing on the chromosome contact matrix after the contact number weight-based smoothing processing; (4) contact binarization; (5) principal component extraction; using KPCA to perform dimension reduction and generate cell embedding; (6) feature fusion; (7) spectral clustering; using a spectral clustering algorithm to realize cell clustering. The single-cell Hi-C clustering method provided by the application is obviously superior to existing clustering methods, greatly improves the clustering effect when a large-scale single-cell Hi-C data set is processed, and can identify cell types with a small number of cells in the data set.