94 results about "Cell clustering" patented technology

The present invention recognizes that diagnosis and prognosis of many conditions can depend on the enrichment of rare cells from a complex fluid sample. In particular, the enrichment of fetal cells from maternal samples, such as maternal blood samples, can greatly aid in the detection of fetal abnormalities or a variety of genetic conditions. In addition, the present invention recognizes that the enrichment of rare malignant cells from patient samples, can aid in diagnosis, prognosis, and development of therapeutic modalities for patients.

A first aspect of the present invention is a microfabricated filter for filtering a fluid sample. A microfabricated filter of the present invention comprises at least one tapered pore, and preferably comprises at least two tapered pores whose variation in size is 20% or less. The present invention also includes a method of enriching rare cells of a fluid sample using a microfabricated filter of the present invention.

Another aspect of the invention is solutions for the selective sedimentation of red blood cells (RBCs) from a blood sample comprising a red blood cell aggregating agent and at least one specific binding member that selectively binds RBCs. Solutions of the present invention include a combined solution for rare cell enrichment that comprise RBC aggregating agents, at least one specific binding member that selectively binds RBCs, and at least one additional specific binding member for the removal of undesirable sample components other than RBCs. The invention also includes methods of using selective RBC sedimentation solutions and combined solutions for enriching rare cells of a fluid sample.

Yet another aspect of the invention is an automated system for processing a fluid sample that includes: at least one filtration chamber that comprises or engages one or more microfabricated filters of the present invention; automated means for directing fluid flow through the one or more filtration chambers of the automated system, and means for collecting enriched rare cells. The present invention also includes methods of using an automated system for separating rare cells from a fluid sample. Preferred fluid samples are effusion, blood, or urine samples, and rare cells that can be enriched from such sample include nucleated red blood cells and cancer cells.

A method and an apparatus for performing a Coordinated Multi-Point (CoMP) transmission in a wireless communication system are provided. An operating method of a base station for the CoMP transmission in a wireless communication system includes performing a cell clustering for CoMP transmission of a terminal, receiving a reference signal from the terminal, determining cell IDentifier (ID) information of the terminal, when the terminal uses a cell ID for the CoMP transmission, comparing a Channel Quality Indicator (CQI) value of the reference signal with a threshold, and when the CQI value of the reference signal is greater than or equal to the threshold, participating in the CoMP transmission of the terminal.

This disclosure describes single-use test cartridges, cell analyzer apparatus, and methods for automatically performing microscopic cell analysis tasks, such as counting blood cells in biological samples. A small unmeasured quantity of a biological sample such as whole blood is placed in the disposable test cartridge which is then inserted into the cell analyzer. The analyzer isolates a precise volume of the biological sample, mixes it with self-contained reagents and transfers the entire volume to an imaging chamber. The geometry of the imaging chamber is chosen to maintain the uniformity of the mixture, and to prevent cells from crowding or clumping, when it is transferred into the imaging chamber. Images of essentially all of the cellular components within the imaging chamber are analyzed to obtain counts per unit volume. The devices, apparatus and methods described may be used to analyze a small quantity of whole blood to obtain counts per unit volume of red blood cells, white blood cells, including sub-groups of white cells, platelets and measurements related to these bodies.

The invention provides a cell clustering method based on wireless network traffic features. The method comprises the following five steps: S1, selecting to-be-processed data; S2, extracting feature parameters of all to-be-processed data; S3, carrying out clustering optimal K value selection on the to-be-processed data; S4, carrying out clustering integration on the to-be-processed data with the selected optimal K value by means of five kinds of clustering algorithms; and S5, combining a clustering result with geographic information in a geographic information system and displaying a combined clustering result. According to the invention, a cell with similar traffic data is obtained based on clustering. And thus an auxiliary scheme for evaluating and planning a network capacity can be provided for a mobile operator.

Using a novel culture approach, previously unknown populations of neural progenitor cells have been found within an adult mammalian brain. By limiting cell-cell contact, dissociated adult brain yields at least two types of cell aggregates. These aggregates or clones of stem/precursor cells can be generated from adult brain tissue with significantly long postmortem intervals. Both neurons and glia arise from stem/precursor cells of these cultures, and the cells can survive transplantation to the adult mammalian brain.

The invention provides a method for producing a cell aggregate containing a ciliary marginal zone-like structure by culturing a cell aggregate containing a retinal tissue in which Chx10 positive cells are present in a proportion of 20% or more of the tissue in a serum-free medium or serum-containing medium, each containing a substance acting on the Wnt signal pathway for only a period before the appearance of a RPE65 gene expressing cell, followed by culturing the “cell aggregate in which a RPE65 gene expressing cell does not appear” thus obtained in a serum-free medium or serum-containing medium, each not containing a substance acting on the Wnt signal pathway and so on.

The invention provides a three-dimensional complex cell aggregate model as well as a preparation method and application thereof. According to the model, a natural or chemically synthesized polymer is used as a matrix material to prepare submicron-scale microspheres, and cell factors are embedded in or fixed on the surface of the submicron-scale microspheres and are co-cultured with cells to form a complex cell aggregate containing the microspheres, so that the biological activity of the cells in the aggregate can be regulated and controlled from inside to outside. The model can be used for researches of propagation and differentiation of stem cells in a three-dimensional state, overcomes the problems that the cell aggregate is heterogeneous in composition/structure, the cell proliferation efficiency is low and the directional induced differentiation efficiency is low due to non-uniform mass transfer and short acting time of liquid factors in a culture medium during the traditional three-dimensional culture of the stem cells, can be used for stimulating interaction between cells and cells, cells and an extracellular matrix as well as cells and soluble factors, thereby providing a theoretical and technical support for in vitro construction and optimization of a stem cell culture technology, and tissue engineering construction of various tissue and organ analogs or equivalents.

The present invention addresses method, apparatus and computer program product for dynamic cell clustering for Coordinated Multipoint operation. Clustering metric information defining relevant metrics for making cell clustering decision for Coordinated Multipoint operation are received from a network element serving a neighboring cell, and based on the received clustering metric information, it is decided whether to include the neighboring cell to a cluster for Coordinated Multipoint operation.

A cell analysis apparatus that can accurately distinguish between an aggregating cell and a non-aggregating cell is provided. The cell analysis apparatus (10) includes: an optical detection section (3) for flowing a measurement sample obtained from a biological sample and a pigment into a flow cell (51), irradiating the measurement sample flowing in the flow cell (51) with laser beam and detecting fluorescence from the measurement sample; a signal processing circuit (4) for acquiring, based on a fluorescence signal outputted from the detection section (3), a value reflecting the height of a waveform of the signal and a value reflecting the length of a ridge line of the waveform of the signal; and a system control section (13) for distinguishing between an aggregating cell formed by aggregation of a plurality of cells and a non-aggregating cell, based on the value reflecting the height of the waveform of the fluorescence signal and the value reflecting the length of the ridge line of the waveform of the fluorescence signal obtained by the signal processing circuit (4).

The techniques and systems described herein are directed, in part, to optimizing network performance by clustering cell sites of the network based on performance patterns and then optimizing each cluster of cell sites, thereby optimizing performance of a network as a whole. The cell sites may be base stations, radio access networks, and/or other hardware that directly or indirectly exchanges communications with user devices such as mobile telecommunication devices (e.g., user handsets, user hardware, etc.). By optimizing the clusters of cell sites, a service provider (e.g., a telecommunications company, etc.) may improve network performance in less time and/or with less capital resources than attempting to optimize each cell site on an individual basis.

The invention discloses a single cell clustering method and device, electronic equipment and a storage medium. On the basis of calculating local similarity between node pairs based on distance information, a global feature space is constructed. Based on the global feature space, the global similarity between the node pairs is calculated by using a multi-core learning method. Then, nodes on all second-order paths of the node pairs are expanded and considered, more relevant node information is added, and a more effective global similarity calculation method is constructed. Finally, by sorting the nodes according to the node degrees, and determining an initial association joining sequence of the nodes, a Louvain association detection method is improved, and clustering is carried out by usingthe method. The method is simple and effective, and compared with other methods, tests on a public single cell transcriptome sequencing data set show that the method has good prediction performance inthe aspect of single cell transcriptome sequencing data clustering.

The invention provides a cell clustering method. The cell clustering method is characterized by comprising the step of calculating isolation between every two adjacent cells in a wireless communication network cell aggregation; the step of setting the isolation threshold value theta and judging whether a boundary exists between the two cells; the step of dividing the cell aggregation in which the boundaries exist between every two adjacent cells into sub-clusters Si in the wireless communication network cell aggregation U, wherein i=1, 2,...,m and the sub-clusters Si meet the formula: U=S1 UpsilonS2 Upsilon...Upsilon Sm; the step of calculating the connectivity among the sub-clusters; the step of setting a connectivity threshold value N and judging whether the sub-clusters need to be combined or not according to the connectivity threshold value N; when the connectivity degree between every two adjacent sub-clusters is larger than the connectivity threshold value N, the two sub-clusters are combined. The limitation tolerance for an interference link is ruled according to the connectivity threshold value among the sub-clusters, and on the premise that the interference among cell base stations is effectively avoided, the requirement for improving the self-adaptability of the cell network service can be improved.

Devices for the in vitro aggregation of cells. The devices are characterized by containing special ground cavities allowing cluster formation to take place when a cell suspension is seeded onto the device. Further, the present invention relates to a method for aggregating cells and the use of the devices of the present invention for the aggregation of cells.

Primate embryonic stem cells are cryopreserved by resuspension in a freezing medium and slow cooling at a controlled rate. In some embodiments, prior to the controlled freezing step, the suspension of cells is cooled to a temperature just below freezing, and ice crystal formation is induced. The cryopreserved cell aggregates are useful in transplantation, for experimental evaluation, and as a source of lineage and cell specific products, and as targets for the discovery of factors or molecules that can affect them.

An image processing apparatus obtains an image of an eye area, determines a measurement target among multiple vascular branches based on information regarding multiple vascular branches that include multiple vascular bifurcations in the obtained image, and measures the size of a blood cell aggregate in the determined measurement target.

The invention discloses an improved weighted graph-based super dense heterogeneous network interference coordination method. With maximizing the network spectrum efficiency as a target and in a condition of ensuring a changed rate request along with changes of a service type for cell users, cells are firstly clustered according to cell interference environments in the actual super dense heterogeneous network scene; a user interference weighted graph is built in each cell cluster, users in the cluster adopt a low-complexity dynamic sub-channel multiplexing method, the method joins cell clustering and user clustering, and a weighted interference graph is built for the user. The purposes of increasing the network spectrum efficiency and reducing the interference are realized, the low complexity and good convergence performance are realized, the interference problem in the whole network is converted to the interference problem in each small cell cluster, the interference problem is simplified, interference in the network is suppressed on the basis of ensuring the user rate, and the maximization of the network spectrum efficiency is realized.

There are provided measures for cell clustering based configuration of flexible time division duplex communication, such as e.g. in layered heterogeneous network deployments. Such measures may exemplarily comprise measures for specifying a desired uplink-downlink configuration for time division duplex communication in a subject cell of a cellular communication system, obtaining at least one desired uplink-downlink configuration for time division duplex communication in at least one neighboring cell of the cellular communication system, wherein the at least one neighboring cell and the subject cell belong to the same cell cluster, and defining an uplink-downlink configuration for time division duplex communication in at least the subject cell of the cell cluster out of a set of predefined uplink-downlink configurations with flexible subframe patterns for flexible time division duplex communication on the basis of the specified desired uplink-downlink configuration for the subject cell and the obtained at least one desired uplink-downlink configuration for the at least one neighboring cell.

The invention relates to the field of data mining in bioinformatics, in particular to a single cell integrated clustering method based on subspace randomization. The method mainly comprises the following steps: (1) data preprocessing; (2) random subspace sampling is carried out to carry out cell similarity measurement; (3) subspace fusion is performed; and (4) single cell clustering is performed by measuring the overall similarity based on spectral clustering to obtain a final result. Compared with the prior art, the single cell clustering method provided by the invention is used for characterizing the novel cell type and detecting the heterogeneity in the population, and has stronger statistical ability and better stability. The method provided by the invention is feasible and effective, can achieve a good effect in the aspect of identifying the single cell cluster, and has important significance for researching cell type classification and identification of a complex data set.

The invention discloses a process method for combined analysis of single-cell scRNA-seq and scATAC-seq. The process method comprises the steps of scRNA-seq analysis, scATAC-seq analysis, scRNA-seq andscATAC-seq combined analysis. According to the invention, the method is scientific and reasonable in structure, is safe and convenient to use, and the analysis process is simple, convenient and novel; the method comprises the following steps: firstly, making scRNA-seq data. According to the invention, the gene difference analysis and cell clustering analysis are carried out at first; then, chromatin accessibility analysis is performed on the scATAC-seq data; footprint analysis and cell clustering analysis of transcription factors are carried out, and finally, the data of the transcription factors and the cell clustering analysis are subjected to copuledNMF joint analysis. In addition, five files originally required to be input into the coupledNMF are simplified into three necessary files,and the operation process is simplified, so the coupledNMF can become a language program capable of being operated and operated to perform data analysis.