236 results about "Cell cluster" patented technology

The invention provides a cell specific transcription factor regulatory network analysis method and a visualization platform, and relates to the technical field of bioinformatics, the method comprises the following steps: constructing a gene regulatory network through a GRNBoost2-cisTarget-AUCell-Cell GRN workflow based on a transcription factor in combination with a motif database; screening a direct regulation relationship in combination with the database, and calculating an activity score of a regulator in each cell; based on activity scores and cell type annotation results, grouping the single cell data by using a unified manifold approximation and projection (UMAP) dimensionality reduction method and a Leiden clustering algorithm, and displaying the following results through an interactive visualization tool: a cell clustering UMAP graph, performing color marking according to cell types; a UMAP graph and a heat map of transcription factor regulator activity; according to the visual map of the gene regulation and control network, transcription factors and target genes are distinguished through node shapes, and regulation and control relations are marked through line weights and colors. According to the invention, an accurate regulation and control network can be provided.

The invention discloses an image contour recognition method and device for a cell cluster, and relates to the technical field of biological image processing, and the method comprises the steps: converting an input cell cluster image into a binary image; carrying out expansion operation and distance transformation on the image after morphological operation, and carrying out subtraction operation on the two obtained images to obtain a third image containing an unknown region; detecting connected regions in the accurate foreground region, and marking each independent connected region, background region and unknown region to obtain a marked image; performing region segmentation on the original image to obtain segmented marked regions, generating a corresponding binary mask image, and extracting the contour of each marked region by using the binary mask image; identifying and filtering the contour of each marked area to obtain an effective contour; the size of each effective profile is converted into an equivalent sphere diameter. According to the invention, accurate segmentation of adjacent or adhesion areas in the image can be efficiently realized, and accurate counting and size measurement of cell clusters can be obtained.

The invention discloses an animal single cell data cell type annotation method, which is characterized by comprising the following steps: collecting Bulk RNA-seq data of purified cell types in various tissues and organs of a specific animal, and integrating the Bulk RNA-seq data into a reference data set after preprocessing; the method comprises the following steps: acquiring single-cell RNA-seq original data, screening the single-cell RNA-seq original data to obtain high-quality cells, screening high-variation genes from the high-quality cells, processing the high-variation genes, extracting principal components, performing dimensionality reduction on the principal components, and performing cell clustering based on a dimensionality reduction result to obtain cell clusters; and calculating expression similarity between the cell clusters and the reference data set based on the high-variation genes, determining initial cell types of the cell clusters according to a similarity result, and carrying out iterative tuning on the initial cell types with similar scores to obtain a final cell type annotation result. The method provides efficient and accurate technical support for animal single cell research.

Disclosed is a computer-implemented method for real-time classification of cells in a body tissue that includes capturing one or more images of a cytology slide sample of the body tissue, pre-processing the captured one or more images, detecting and extracting a plurality of regions of interest in the pre-processed images using a cell detection process, wherein each region of interest includes one or more cells or cell clusters of interest, segmenting each individual cell or cluster in the regions of interest and extracting pixel content of each segmented cell or cluster, extracting semantic features from each segmented cell image using an embedding extraction model, classifying each individual cell or cell cluster based on corresponding extracted sematic features, and predicting a class of the cytology slide sample, based on one or more positions and relationships among one or more classified cells, using a slide level decision model.

The invention relates to a multi-model fusion and knowledge base enhancement-based cell clustering prediction system and method, and the system comprises the following modules: a comprehensive knowledge base construction module, a knowledge base enhancement module, a knowledge base enhancement module, a knowledge base enhancement module, a knowledge base enhancement module, a knowledge base enhancement module and a knowledge base enhancement module. Constructing a species-tissue-cell group three-level knowledge sub-library; when cell dimension reduction clustering analysis is carried out, firstly, an existing knowledge database is used, key identification genes and modes are transmitted into a large model, and scoring is carried out through the large model; secondly, performing significance scoring on each cell cluster based on a specific algorithm, and performing accuracy evaluation and optimization on a grouping result by applying a grouping accuracy evaluation algorithm; in addition, a large amount of data is sorted in combination with a large model RAG and a large model fine tuning technology, and the large model is adjusted in combination with an artificial correction prediction result, so that the prediction accuracy is improved; and the calculation resources and the calculation efficiency of the model are reduced through a large model rectification technology.

The invention provides a cell type annotation method and device based on plant single cell transcriptome data and a readable storage medium. Annotation is achieved through multi-level data integration, wherein preliminary annotation is expressed based on cell type marker genes or homologous genes; calculating expression correlation auxiliary annotations of the to-be-analyzed data and the known transcriptome data set; performing function enrichment on the cell cluster differential genes to deduce cell types; carrying out quasi-timing analysis on the heterogeneous cell clusters and annotating subgroups; and finally integrating and generating a comprehensive annotation. The method solves the problem that the prior art depends on artificial experience and is insufficient in basic data set, and is suitable for mode and non-mode plants.

The invention discloses an auxiliary diagnosis system for renal transplantation rejection and typing thereof based on a peripheral blood immune cell map. Comprising a peripheral blood single cell acquisition unit, a mass spectrum flow cytometry unit, an original data preprocessing unit, a data conversion and normalization processing unit, a peripheral blood immune cell grouping acquisition unit, a peripheral blood immune cell map construction unit, a feature vector acquisition unit, a rejection prediction unit and a rejection typing prediction unit. According to the invention, a kidney transplantation two-stage diagnosis architecture is created for the first time; rejection detection and typing identification are realized through classification of an independently trained random forest binary classifier, and different TCMR / ABMR immune mechanisms are accurately matched; the traditional biopsy limitation is broken through, an auxiliary diagnosis scheme with high precision, low damage, moderate cost and typing identification capability is provided for the kidney transplantation rejection, and the method has important significance on timely discovery of the rejection of a kidney transplantation patient and improvement of prognosis.

The present disclosure relates to automated systems and methods adapted to quickly and accurately train a neural network to detect and / or classify cells and / or nuclei. The present disclosure also relates to automated systems and methods for using a trained cell detection and classification engine, such as one including a neural network, to classify cells within an unlabeled image.

The utility model provides a micro-fluidic chip for unmarked or fluorescently marked single cell sorting and a single cell sorting system, which do not adopt means for damaging a sorting target, such as high voltage, strong electric field, high-voltage sheath fluid and the like, and can be used for sorting the unmarked or fluorescently marked single cells on the premise of keeping activity. For unlabeled or labeled (such as fluorescence labeled) cells, bacteria, proteins, viruses, genes (fragments or whole segments), cell clusters and other microorganisms, or liquid drops, liquid segments, bubbles or blocky solids containing the biological particles, high-efficiency, accurate and reliable single-individual detection, control and sorting (especially including but not limited to single-cell sorting) are carried out.

The invention relates to the technical field of preparation of organoids, and discloses a method for regulating and controlling human induced pluripotent stem cells to differentiate into kidney organoids, which comprises the following steps: resuspending a cell cluster formed by human induced pluripotent stem cells by using a basic differentiation culture solution containing a GSK-3beta inhibitor, inoculating the cell cluster into an ultralow adsorption cell culture plate, and starting to culture, marking the time as the 0th hour of differentiation; and after culturing for 70-76 hours, replacing the basic differentiation culture solution containing the GSK-3beta inhibitor with a basic differentiation culture solution containing a Knockout TM serum substitute (KSR), and continuing to carry out differentiation culture. By adopting the method disclosed by the invention, the human induced pluripotent stem cells can be efficiently, quickly, simply, conveniently and stably subjected to directional induced differentiation into kidney organs containing podocytes, renal tubules and other structures, and the time for constructing a kidney in-vitro model can be shortened, so that the research on kidney diseases, kidney development and the like can be greatly assisted; and a powerful platform is provided for kidney toxicity assessment.

The invention discloses a target micro-area laser cutting and collecting device and method for tissue slices on a blade, the target micro-area laser cutting and collecting device for the tissue slices on the blade comprises a carrier table, the blade, a laser cutting system, a control module and a collector, the laser cutting system comprises a laser, a beam expander, a galvanometer and an objective lens, and the scanning angle theta of the galvanometer is adjusted, and the scanned laser is focused in combination with the objective lens, so that the target micro-area on the tissue slice is cut and bounced up. According to the invention, laser microdissection and mechanical slicing are combined, and non-contact collection of a specific micro-area of a tissue slice placed on an inclined blade is realized under the action of laser edge ejection combined with dielectrophoretic force, so that the integration of the form of a sample in the whole acquisition process is ensured, and three-dimensional position information of a target cell or a cell population is accurately reserved; the cutting efficiency is improved, non-contact cutting can be achieved, and samples are prevented from being polluted.

The invention discloses a breast cancer metastasis state analysis system based on image recognition. The system comprises an image collection processing module, a feature fusion improvement module, a cell cluster space-time modeling module, a prognosis mapping module and a metastasis state analysis module. The invention belongs to the technical field of breast cancer metastasis state analysis, a tumor cell evolution process is modeled through multi-source pathological image preprocessing, adaptive feature fusion and a space-time diagram convolutional network, treatment response is predicted in combination with multi-omics data, and finally the breast cancer metastasis state is comprehensively judged. According to the system, the accuracy of focus feature extraction, the dynamic modeling capability and the comprehensiveness of prognosis prediction are improved, and efficient and intelligent technical support is provided for precise medical treatment.

The invention provides a control method and device, electronic equipment and a storage medium, and the method comprises the steps: issuing AC active power to a corresponding bidirectional energy storage converter so as to adjust the current distributed by each bidirectional energy storage converter, and controlling each DC power converter based on a current distribution target ratio, therefore, the current distributed to each battery cluster is adjusted. According to the invention, by controlling the given AC active power issued to the bidirectional energy storage converter, the current of each DC bus is controlled, each cell stack is fully charged or fully discharged at the same time, on the other hand, the current proportion of the cell clusters in the same stack is distributed, the system difference is reduced, and the system reliability is improved. And the consistency, the service life, the working efficiency and the charge-discharge depth of the whole battery energy storage system are greatly improved.

The invention discloses a lightweight optimal clustering selection method for scRNA-seq data. The lightweight optimal clustering selection method comprises the following steps: 1, acquiring and preprocessing an scRNA-seq data matrix; 2, performing layer-by-layer dimensionality reduction on data by using a multi-layer perceptron encoder to obtain a low-dimensional feature matrix; and 3, constructing an undirected cell map, and enhancing and removing cell map noise through an NE network. And 4, reconstructing features by using graph convolution, inputting the low-dimensional feature matrix and the cell graph into a simplified graph convolution module, and updating the reconstructed feature matrix round by round. And 5, carrying out cell clustering on the characteristic matrix after each round of updating by using self-optimization clustering to obtain cell representation. And 6, judging and evaluating the clustering performance of the current round, storing an optimal clustering result, and carrying out feature reconstruction and self-optimization clustering of the next round. And 7, outputting and analyzing final optimal feature information. According to the method, scRNA-seq data can be well processed, low-dimensional embedded features can be extracted, tag prediction is more accurate, the requirement for hardware resources is low, and an efficient method is provided for analyzing biological characteristics of single cell data.

Methods, systems, and computer program products are provided for monitoring a cell culture, utilizing a predictive model to improve cell culture processes, measuring cell dynamics of a cell culture, managing cell clusters in a cell culture system, and training a machine learning model for managing cell clusters in a cell culture system. In various embodiments, a cell culture may be maintained in a cell culture chamber. The cell culture may comprise one or more cell colonies. One or more properties of the cell culture may be measured. One or more perturbations may be applied to all or a portion of the cell culture. The one or more properties of the cell culture may be measured after applying the one or more perturbations. The one or more properties may be compared before and after the one or more perturbations. The cell culture may be managed based on the comparison.

The present invention discloses a method for establishing and applying a caudal fin-induced pluripotent stem cell line of Erythroculter ilishaeformis. By the tissue adherence method, a cell line with high proliferation performance and stemness is isolated from the caudal fin of Erythroculter ilishaeformis. In the early stage, the cells of this cell line are significantly fibroblast-like. Later, the cells become smaller but still maintain a spindle shape, without obvious contact inhibition phenomenon, and can spontaneously form cell clusters similar to induced pluripotent stem cells. Alkaline phosphatase staining is positive and it expresses stemness marker genes such as Oct4, Sox2, Klf4, Nanog, and c-Myc. The present invention uses a single cAMP agonist small molecule compound to reverse the phenomenon of weakened stemness after continuous subculture of this cell line, enabling it to maintain the characteristics of high proliferation performance and high stemness, which is suitable for future research on the induction and differentiation of fish stem cells and provides more choices for the research and application of fish stem cells.

The invention relates to a cell network optimization method and device, equipment, a storage medium and a product, and relates to the technical field of communication. The method comprises the following steps: acquiring a performance index matrix of a target cell cluster; the target energy-saving strategy is simulated and executed based on the performance index matrix of the target cell cluster to obtain a simulation execution result, the target energy-saving strategy is an energy-saving strategy in the strategy iterative optimization process, and the energy-saving strategy comprises at least one of the following: changing the activation state of each cell and changing the activation state of each cell; adjusting a target parameter, used for adjusting the coverage range of the cell, of the cell under the condition that the user perception condition is met; evaluating the simulation execution result based on the comprehensive optimization target to obtain an evaluation result; the comprehensive optimization target is constructed based on a user perception index and an energy-saving index; if the evaluation result reaches an optimization completion condition, executing a target energy-saving strategy; through the method, the perception experience of the user is ensured while the energy is saved, and the energy conservation of the base station and the effective optimization of the cell load are realized.

The invention belongs to the technical field of biological extraction, and discloses a separation method for improving the yield of human lymphocytes. The method comprises the following steps: collecting blood cells, diluting the blood cells, obtaining lymphocytes and recovering the lymphocytes. The method is characterized in that a blood cell diluent is prepared and comprises human serum albumin, EDTA-2Na (Ethylene Diamine Tetraacetic Acid-2Na) and a calcium-magnesium ion-free PBS (Phosphate Buffer Solution). The method is applied to lymphocyte separation, the osmotic pressure of cells in the separation process can be improved, the normal form of the cells can be maintained, the viscosity between the cells can be reduced, cell adhesion can be prevented, meanwhile, the part which is adhered to form a membrane layer or a cell cluster is separated twice, the lymphocyte separation yield is remarkably increased, and the method is simple to operate and easy to implement. The realization is easy. The method is especially suitable for blood samples of people with immune system diseases, blood samples and blood viscous samples of old and sick people, non-fresh blood samples and the like.

A disaggregation system is disclosed. The system includes a reservoir containing a solution including multiple cell clusters. The system further includes a cluster processing system. The processing system includes at least one separation device having multiple separation elements spaced apart from each other, each separation element including an edge portion configured to apply a separation force to cell clusters that contact the edge portion. The processing system further includes one or more channels in fluid communication with the reservoir, the one or more channels configured to receive the solution from the reservoir and direct the solution to pass through a corresponding separation device, causing at least one cell cluster to contact the edge portion of one or more of the separation elements, causing the at least one cell cluster to disaggregate into at least two separate cell clusters.

Some embodiments provide a microfluidic cartridge for automatically hydrodynamically loading objects (e.g., cell clusters) into traps in parallel trapping channels with one object per trap, methods of making such cartridges and methods of use of such cartridges.

The invention discloses a system for directionally differentiating chicken primordial germ cells into gametes in vitro and a regulation and control method, the system comprises a basic culture medium: based on DMEM / F12, adding 10% of fetal calf serum, 2% of chicken serum, 2 mmol / L of L-glutamine, 1 mmol / L of sodium pyruvate and 5.5 * 10 <-5 > mol / L of beta-mercaptoethanol; the spermatogonium induction culture medium further comprises BMP4, RA and GDNF; the oogonium induction culture medium also comprises BMP15, GDF9 and EGF (Epidermal Growth Factor). According to the system and the regulation and control method, the differentiation efficiency is improved, the culture period is shortened, and the number of cell clusters is remarkably increased.

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.

The invention relates to the technical field of biocompatible compositions, in particular injectable biocompatible compositions. In particular, the invention relates to a particular biocompatible composition comprising a solution and heterogeneous cellular elements suspended in said solution, which elements are selected from isolated cells, cellular microtissues, cell clusters and mixtures thereof, at least two of said cellular elements having a different density and / or size and / or number of cells.

Facilitating energy aware multi-cell admission control in advanced communication networks is provided herein. A method includes, based on notification of a denial of an admission request by a first cell, facilitating a transmission of the admission request to a second cell and at least a third cell. The second cell and the third cell are neighbor cells of the first cell. The admission request can be received from a user equipment. The method also includes, based on receipt of an acceptance of the admission request from the second cell and the third cell, and based on a determination that a first utility of the second cell is higher than a second utility of at least the third cell, selecting the second cell as an admission cell for the user equipment. Further, the method includes facilitating admission of the user equipment to a cell cluster via the second cell.

The invention relates to the technical field of image data processing, and discloses a bone marrow biopsy image blurring removal method for cell structure recovery, which comprises the following steps: firstly, purifying reliable low-frequency information in a blurred image into a structure blueprint by applying low-pass filtering, and adaptively decoupling cell clusters in the structure blueprint; guiding a programmed algorithm to redraw an idealized cell structure by taking the statistical property of the structure blueprint as an instruction; according to the method, reliable low-frequency information in the image is used as a control instruction, and high-frequency details are generated in a forward construction mode, so that the risk that an error structure is introduced due to guess in a traditional repairing method is avoided, and through an internal verification correction mechanism, the error structure is effectively corrected, and the error correction accuracy is improved. Self-adaptive processing of cell clusters and artifacts is realized, and logic integrity and final reliability of a reconstruction result in biology are guaranteed.

Various solutions for cluster-based measurement prediction in mobile communications are described. A user equipment (UE) may perform a first measurement on a first cell cluster. The UE may obtain first predicted results associated with a second cell cluster based on a first artificial intelligence (AI) or machine learning (ML) based model and first measurement results of the first measurement. The UE may determine that it moves from the first cell to a second cell. The first predicted results are associated with the first cell and the second cell in an event that the first cell and the second cell belong to the second cell cluster. Accordingly, no AI or ML model update is needed for UE movement between cells belonging to the same cluster, thus reducing the overhead.

The present disclosure pertains to methods for handling cells and / or cell clusters without the use of centrifugation. In one aspect, described is a method of separating a liquid from a composition comprising the liquid and cell clusters. Therein, the liquid of the composition is passed through a filter disposed within a pipette so as to separate the liquid from the cell clusters.

The invention provides a cell switching method, a base station and a computer storage medium, and the method comprises the steps: sending a switching preparation instruction to a switching request entity according to a current cell switching mode of user equipment, and enabling the switching request entity to carry out the cell switching preparation work; in response to receiving the switching preparation response message, sending source side data of the user equipment to the switching request entity, and establishing data transmission between the user equipment and the target cell by the switching request entity; based on the fact that a plurality of cells of the same cell cluster are located in the same frequency layer and configured with the same virtual cell identifier, non-inductive switching is achieved; and the source cell does not need to carry out data interaction related to inter-cell switching preparation work with the user equipment and does not need to send a switching command to the user equipment, and meanwhile, the user equipment continuously carries out data transmission in the inter-cell switching process, so that the influence of interruption of UE service transmission delay is reduced.

One object of the present invention is to provide a method or apparatus for purifying target particles from high-concentration particles in a short time. The above problem can be solved by a method for purifying target particles, characterized in that the method comprises a step of sorting the target particles from a high concentration of non-target particles, wherein the sorting step is repeated for three times or more.

The application discloses a method for preserving sugarcane germplasm resources in vitro, and belongs to the technical field of sugarcane germplasm preservation. The method comprises the following steps: taking a sugarcane tender leaf sheath as an explant, inducing and culturing callus, obtaining embryogenic cell clusters, and cryopreserving the obtained embryogenic cell clusters; the culture medium for the callus induction culture and the proliferation culture both contain mannitol and corn silk extract; the corn silk extract is an alcohol extract of corn silk. By adding mannitol and corn silk extract in the callus induction culture medium and the proliferation culture medium, the browning of the explant in the process of sugarcane in vitro tissue culture is effectively alleviated, the light condition is optimized, the activity of the embryogenic callus cell clusters is improved, the generation of sugarcane in vitro regenerated seedlings is promoted, and the survival rate of the regenerated seedlings after transplanting is improved.