88 results about "Cell analysis" patented technology

A blood cell analyzer (100) and a blood cell analysis method (300). The blood cell analysis method (300) comprises: sucking a blood sample to be tested; preparing a first determination sample and obtaining first optical information; preparing a second determination sample and obtaining second optical information; generating a first leukocyte classification scatter diagram and a second leukocyte classification scatter diagram; determining a first counting result of neutrophils of the to-be-detected blood sample based on the first leukocyte classification scatter diagram and the second leukocyte classification scatter diagram; determining an actual distribution area of neutrophils from the first leukocyte classification scatter diagram; based on a reference distribution region of neutrophils of a reference leukocyte classification scatter diagram of the normal blood sample, determining a leaf-division nucleophore distribution region from the actual distribution region; determining a second counting result of the cells falling into the leaf-separating nucleogranulocyte distribution area; and based on the first counting result and the second counting result, determining a counting result of the rod-shaped nuclear granulocytes in the to-be-detected blood sample.

The invention discloses a method for determining a hydrogen and water relative permeability curve of an underground hydrogen storage and related equipment, and relates to the field of underground space engineering.The method comprises the steps that a microscopic computed tomography image of a rock sample in the hydrogen flooding process is obtained; performing characterization unit analysis on the pore structure of the microscopic computed tomography image to construct a first pore structured grid model, the first pore structured grid model being used for characterizing the pore structure of the rock sample, and the first pore structured grid model comprising a coordinate system of the pore structure; by taking a coordinate system of the first pore structured grid model as a reference, mapping the wettability distribution data to the first pore structured grid model through the corresponding coordinate position to obtain a second pore structured grid model, the wettability distribution data is calculated along a three-phase contact line of rock, hydrogen and water extracted from the microscopic computed tomography image; and performing water-driven hydrogen two-phase flow simulation operation on the second pore structured grid model to obtain a hydrogen and water relative permeability curve of the hydrogen storage bank.

A system for measuring an antibody concentration in a sample includes a polarizer holder holding a first detection polarizer and a second detection polarizer, the first detection polarizer restricting fluorescence emitted from within a container to pass in a first direction. The second detection polarizer restricts fluorescence emitted from within the container to pass in a second direction. The second direction is perpendicular to the first direction. The system includes a detector for measuring fluorescence emitted in a first direction and fluorescence emitted in a second direction. The system rotates the polarizer holder in an alternating direction about an axis of rotation such that the first detection polarizer and the second detection polarizer are alternately placed in an optical path of fluorescence emitted from within the container.

The application discloses a micro-fluidic chip and a micro-fluidic system, and relates to the technical field of single-cell analysis. The micro-fluidic chip comprises a first sample inlet module and a second control module. The first sample inlet module has a first detection position and a second detection position. The first sample inlet module is used for providing first particles and second particles. The first detection position is used for detecting the first particles. The second detection position is used for detecting the second particles. The first sample inlet module transports the detected first particles and second particles through a symmetrically arranged flow channel structure. In addition, the first detection position and the second detection position are symmetrically arranged, so as to shorten the time difference of the first particles and the second particles flowing to the pairing flow channel, and to improve the problem of hysteresis of any one of the first particles and the second particles in the pairing process.

The invention provides a cell activity detection method based on fluorescence labeling, and relates to the technical field of cell analysis. The cell activity detection method based on fluorescence labeling comprises the following steps: S1, co-incubating a cell sample to be detected with a mixed solution of propidium iodide, a JC-1 mitochondrial membrane potential dye, a DCFH-DA active oxygen probe, a Caspase-3 / 7 activated substrate and a Hoechst nuclear dye, completing synchronous multiple labeling, and generating a multi-labeled cell sample, S2, detecting the cell activity based on the multi-labeled cell sample, five-channel full-automatic scanning is carried out through a high-content imaging system, Z-stack images are collected, and a multispectral image data set is generated. The five probes are mixed and incubated at one time through a synchronous multiple labeling process, so that the operation time is remarkably shortened, and the risk of cell injury caused by multiple times of centrifugation is reduced; z-stack full-automatic scanning is combined with three-dimensional image acquisition, the capturing capability of weak fluorescence signals is improved through multi-focal plane fusion, and information loss caused by cell thickness or position offset in traditional two-dimensional imaging is overcome.

This invention relates to the field of sputum smear cytology examination technology, and discloses an automated sputum cell analysis method and system based on deep learning. The method includes specimen collection and preprocessing, image preparation and acquisition, data preprocessing and dataset construction, improved YOLOv8 algorithm training, cell identification and statistics, large-scale model analysis, and report generation. This invention automates sputum cell analysis, significantly reducing specimen processing and interpretation time. The efficiency of each specimen analysis is several times higher than manual microscopic examination, reducing labor costs and efficiently handling the demand for large-scale specimen testing. The improved YOLOv8 algorithm, through the C2f-DCNv3 module, SPD-Conv, and color and texture attention mechanisms, accurately captures the differential characteristics of similar cells, significantly improving cell classification accuracy, reducing subjective and fatigue errors in manual interpretation, and resulting in more objective and reliable results.

This invention discloses a live-cell analysis method and system based on a large model and formal verification. The method includes context injection and intent reasoning, receiving natural language and analyzing it using a large language model to infer the required algorithm modules and output candidate configuration files. Formal logical verification involves reading the candidate configuration files and converting them into standardized logical constraint code, which is then verified by a solver. Conflict self-healing and iteration are implemented: if the solver verification fails, the conflict core is identified, and the connection method of the candidate configuration file or algorithm module is modified according to an arbitration strategy, while updating the logical constraint code until the solver verification passes. An analysis pipeline is instantiated and constructed: if the solver verification passes, an executable analysis pipeline is built based on the final determined candidate configuration files for live-cell analysis. Analysis code is generated using a large language model and logically verified using formal methods to analyze live-cell microscopic images.

In the field of cell-based assays, i.e. cellular assays, there is a need for improved cell culture retaining inserts and cell culture retaining insert assemblies. A cell culture retaining insert (10; 70; 90; 100), for retaining a three-dimensional biological sample in a cell culture vessel (102; 132), comprises an insert body (12; 104) that has a positioning formation (16) to in-use locate the cell culture retaining insert (10; 70; 90; 100) relative to a cell culture vessel (102; 132). The insert body (12; 104) also has a retention element receiving formation (20). The cell culture retaining insert (10; 70; 90; 100) additionally includes a retention element (30; 60; 72; 92; 114) which is movably coupled with the receiving formation (20) of the insert body (12;104), whereby a distal retention end (32) of the retention element (30; 60; 72; 92; 114) is freely movable away from and towards the insert body (12; 104), and whereby in-use the weight of the retention element (30; 60; 72; 92; 114) less a buoyant force equal to the weight of any fluid the retention element (30; 60; 72; 92; 114) displaces gives rise to the retention end (32) exerting a retention force on one or more said biological samples.

This invention belongs to the field of microbial electrochemistry and single-cell analysis technology, and specifically relates to a femtocoulomb-level single-bacterial surface charge imaging method and its application. This technology is based on electrochemiluminescence microscopy, utilizing the spontaneous enrichment of cationic ECL luminescent molecules by the electrostatic field of the negative charge on the bacterial surface, thereby non-destructively enhancing its ECL signal. By establishing a quantitative relationship between the ECL intensity enhancement ratio and the number of adsorbed molecules, and combining this with COMSOL simulation to determine the thickness of the luminescent layer, it achieves for the first time high-throughput, high spatiotemporal resolution dynamic quantitative measurement of femtocoulomb-level charges on the surface of a single living bacterium. The invented technology has high sensitivity, high resolution, and good biocompatibility, and can be used to reveal bacterial metabolic-charge regulation mechanisms, analyze synergistic electron transport pathways, and screen highly electroactive bacterial subpopulations in situ, providing a key tool for microbial electrochemical research.

The present invention provides a cell impedance measurement device capable of measuring and collecting electrical data on cells and performing real-time cell analysis in a non-destructive manner, and a cell analysis system comprising same.

The invention is applicable to the field of cell analysis equipment, and discloses an optical detection device and a cell analyser, the optical detection device comprises a flow chamber, a light source and a forward scattering detection assembly, the forward scattering detection assembly is used for collecting forward scattering signals generated when the light source irradiates to-be-detected cells, and the forward scattering signals are sent to the flow chamber; the forward scattering detection assembly comprises a first focusing lens, a diaphragm assembly and a first detector, and the diaphragm assembly is arranged between the first focusing lens and the first detector; the first focusing lens is arranged between the flowing chamber and the diaphragm assembly, so that forward scattering light generated when the light source irradiates to-be-detected cells is converged and then penetrates through the diaphragm assembly to enter the first detector, the first focusing lens is a spherical lens, and the number of the first focusing lens is one. The single spherical lens is adopted to collect forward scattering signals and gather the forward scattering signals to the first detector, so that the size and the cost of the optical detection device are effectively reduced, and the miniaturization design of the cell analyzer is facilitated.

The present invention relates to a cell analysis system based on virtual fluorescence generation technology, and a method therefor. According to the present invention, the system comprises: an input unit that receives a quantitative phase image of a sample including at least one cell through digital holography microscopy; and a cell identification unit that identifies at least one living cell by applying, to the received quantitative phase image, a cell segmentation mask generation model and a nuclei segmentation mask generation model constructed previously, and that masks a position of the nucleus of the living cell to derive an identification result. The system may further comprise a post-processing unit that derives a final result by applying a preset post-processing method to the derived identification result.

An automated cell analysis device, an automated cell analysis method, and an automated cell analysis system. The automated cell analysis device comprises: a workbench; functional modules arranged on the workbench, wherein the functional modules are used for cell culture, analysis and / or detection; and a rail-mounted transfer robot arranged on the workbench, wherein the rail-mounted transfer robot comprises a rail and a robot, and the robot is arranged on the rail and can move along the rail to transfer a material between the functional modules.

The invention provides methods for assessing immune system function and status based on cellular analysis. Methods of the present invention involve obtaining mass properties of immune cells collected in a tissue or body fluid sample from a subject. Such mass properties may include the mass of one or more immune cells and / or changes in mass of such immune cells over a period of time. Such data is then used for determining a status of the subject's immune response, and subsequent diagnosis and treatment of an infection or immunological disease or dysfunction.

There is described a method of spatially resolved cellular profiling for integrating profiling data of a cell or cell-derived material with spatial positioning of the cell or cell-derived material, the method comprising: contacting the surface of a cell or tissue sample with a population of particles, wherein the particles comprise at least 3 distinguishable subpopulations, wherein each of the at least 3 distinguishable subpopulations has a distinguishable trait that can be determined by imaging, and wherein the particles comprise binding molecules that bind to target biomolecules from the sample; imaging the sample and the population of particles; profiling the particles to generate profiling data corresponding to each particle; and providing a virtual map of the spatially resolved profiling data with respect to the sample image.

The present invention provides a method for producing cells in which the double-stranded DNA has been modified, the method comprising: (1) a step for introducing a nucleic acid-modifying enzyme having a nucleic acid sequence recognition module into cells; (2) a step for analyzing, in cells into which the nucleic acid-modifying enzyme having a nucleic acid sequence recognition module has been introduced, the sequence of a region of 0.5-2.0 kb including a target sequence in both alleles of each cell, the region including an exon and the intron that is nearest to the target sequence; and (3) a step for selecting cells in which modification has been confirmed in both alleles.

The application relates to the technical field of communication, and provides an outdoor distributed cell analysis method and device, electronic equipment and program product. The method comprises the following steps: acquiring quantity information of target sites corresponding to a target building in an outdoor distributed cell to be analyzed, cell parameters of the target sites, a cell coverage structure of the target sites, and a target capacity index of the target sites; and based on the quantity information, the cell parameters, the cell coverage structure, and the target capacity index, whether the outdoor distributed cell to be analyzed meets an outdoor distributed cell removal condition is analyzed. The outdoor distributed cell analysis method and device, electronic equipment and program product provided by the application can realize comprehensive evaluation and accurate positioning of the outdoor distributed cell.

The application discloses a virtual cell analysis platform based on cell disturbance data. The platform comprises three parts: a large language model data preprocessing system, a database and an online analysis platform, and a direction matching algorithm. The large language model data preprocessing system comprises an automatic data information extraction and retrieval tool, an automatic data file download tool, a large language model analysis engine and a gene expression data acquisition and feature extraction tool. The application can automatically preprocess the original data by applying the large language model data preprocessing system to the target scientific problem, and then store the data in the database. The characteristic direction matching algorithm is combined to output the drugs and key targets related to the target data set. The efficiency of target point and drug screening is improved. The application is suitable for large-scale omics data mining and disturbance analysis, accelerates the drug research and development, disease mechanism and translational medicine research process, and reduces the research and development cost.

A system (2) for analyzing a sample comprising active cells (900) comprising at least a head portion (902). The system includes an input interface (24) configured to receive image data comprising a time series (100) of images (102, 104, 106) of a sample. The system further comprises a processing device (16) configured to determine one or more morphological parameters of the cell and determine a trajectory of movement of the head portion of the cell. The processing device is configured to determine a quality metric for the cell using the one or more morphological parameters of the cell and the movement trajectory of the head portion of the cell.

The utility model discloses a full-automatic sample treatment system, and belongs to the technical field of flow cytometry. The full-automatic sample treatment system comprises a machine table, a sample loading and uniform mixing module, an oscillation module, a liquid suction mechanical arm, a transfer mechanical arm and a centrifugal machine. According to the full-automatic sample treatment system, the sample loading and uniform mixing module is arranged in the full-automatic sample treatment system, so that the uniform mixing efficiency of the blood collection tubes can be improved, the transfer mechanical arm is provided with the pipetting needle, and the pipetting needle sucks the uniformly shaken samples in the blood collection tubes and transfers the samples into the flow type tubes of the flow type tube block, so that batch transfer of the samples in the blood collection tubes can be realized; and the flow type pipe base is not provided with a temperature control device, but is integrated with the oscillation module, and the transfer mechanical arm can integrally transfer the flow type pipe block to the flow type pipe base or into the centrifugal machine, so that full-process automatic treatment is really realized, and the working efficiency is integrally improved.

The application discloses a virtual cell analysis platform based on cell disturbance data. The platform comprises three parts: a large language model data preprocessing system, a database and an online analysis platform, and a direction matching algorithm. The large language model data preprocessing system comprises an automatic data information extraction and retrieval tool, an automatic data file download tool, a large language model analysis engine and a gene expression data acquisition and feature extraction tool. The application can automatically preprocess the original data by applying the large language model data preprocessing system to the target scientific problem, and then store the data in the database. The characteristic direction matching algorithm is combined to output the drugs and key targets related to the target data set. The efficiency of target point and drug screening is improved. The application is suitable for large-scale omics data mining and disturbance analysis, accelerates the drug research and development, disease mechanism and translational medicine research process, and reduces the research and development cost.

The application discloses a liver cancer prognosis marker and application thereof, and the liver cancer prognosis marker comprises TXNRD1, HAO1, C1S, OPTN and SNX6. The application provides a group of liver cancer prognosis markers, and a liver cancer patient prognosis prediction model is constructed based on the liver cancer prognosis markers. The liver cancer prognosis markers are obtained through comprehensive gene expression levels, single cell analysis and spatial transcriptome analysis, and the diversity of the data set and the large sample quantity improve the reliability and universality of the liver cancer prognosis markers and the liver cancer patient prognosis prediction model.

The utility model discloses a multi-size antibody bottle rack, and belongs to the technical field of cell culture equipment. The multi-size antibody bottle rack comprises a support body, a first containing blind hole, a second containing blind hole and a third containing blind hole are formed in the upper surface of the support body, the multi-size antibody bottle rack can be matched with antibody reagent bottles with different diameters, the number of antibody bottle racks is reduced, the antibody reagent bottles with complicated types and different sizes are integrated on one antibody bottle rack, and therefore the antibody bottle rack is convenient to use. The requirement of automatic antibody premixing in flow cytometry analysis is met. In addition, the second accommodating blind hole is formed in the first accommodating blind hole, so that the size of the bracket main body is effectively reduced, and antibody reagent bottles with different specifications are convenient to take and place.

Methods, devices, and kits for performing rapid, highly sensitive, high throughput, accurate, and flexible detection and quantification of antigens based on highly optimized rolling circle amplification are provided. The methods, devices, and kits can be used to detect and track an emergent virus or other pathogen, including SARS-COV-2, to test and diagnose individual patients with respect to a specific pathogen or disease, including COVID-19, and to detect and analyze cellular nucleic acids. The methods and devices also can be used to detect fragments and variants of DNA or RNA, including those present in cancer cells. The methods, devices, and kits are suitable for use in both high throughput screening carried out in centralized testing laboratories and in point-of-care testing devices used in the field, at home, in the workplace, or at public facilities for rapid detection and diagnosis.

A massively parallel microfluidic chip is provided having multiple sections stacked or layered along a stacking direction to form multiple microchannels at least partially oriented for flow along the stacking direction. The multiple sections can include a transfer section for introducing a sample fluid containing particles, a particle focusing section configured to focus particles in the sample fluid, and an actuation section including multiple interrogation regions and multiple actuators. Each interrogation region and actuator is associated with at least one microchannel within the multiple microchannels. The arrangement of the microfluidic channels along the stacking direction allows for a very high packing density of channels and interrogation regions on a single chip, providing massively parallel processing of particles.

Cell analysis systems and instruments provide end users with time history graphics and imaging data of individual cell responses as caused by perturbations in the cell microenvironment and monitored by ChemFET sensors. The imaging data of the cellular response may be presented as an electron microscope image that is either an image taken from a sensor covering a cell footprint at a defined sampling interval of the cellular response or an image of the cellular response for a sensor detecting cellular effluents. Electron microscope imaging may be compared to optical imaging to provide information about additional dimensions of cellular analysis. For example, optical imaging using a known set of markers to compare immunocytochemical studies provides functional and phenotypic characteristics of data obtained for each cell analyzed using a ChemFET-based cellular analysis system.

This invention relates to the fields of bioinformatics and precision oncology medicine, specifically disclosing a single-cell analysis system and method based on precise typing and treatment prediction of the lung cancer immune microenvironment. The system includes a data preprocessing and quality control module, a lung cancer-specific cell annotation module, an immune microenvironment typing module, a clinical efficacy prediction module, and a visualization report generation module. These modules form a complete technical chain from raw data to clinical efficacy prediction. Furthermore, this invention provides a scheme for precise typing and treatment prediction of the lung cancer immune microenvironment matching this system. This invention can take single-cell transcriptome data (which can integrate spatial transcriptome data) from lung cancer patients as input, process it through a series of specific computational modules, and finally output immune microenvironment typing results and treatment response prediction results with clear clinical guidance significance, solving the problems of unclear typing, fragmented processes, and insufficient clinical translation capabilities in existing technologies.

A system for measuring the concentration of antibodies in a sample includes a polarizer holder that holds a first detection polarizer and a second detection polarizer. The first detection polarizer restricts the passage of light fluorescing from within the container in a first direction. The second detection polarizer restricts the passage of light fluorescing from within the container in a second direction, which is perpendicular to the first direction. The system includes a detector for measuring light fluorescing in the first direction and light fluorescing in the second direction. The system rotates the polarizer holder around a rotation axis in alternating directions, causing the first and second detection polarizers to alternately position within the optical path of light fluorescing from within the container.

A cell chip is produced by performing a fixing step for immersing cells in a cell fixing liquid, an arrangement step for discharging a cell suspension containing the fixed cells and a liquid from an inkjet-mode discharge part onto a discharge target medium such as a membrane to arrange droplets of the cell suspension on the discharge target medium, and a dyeing step for dyeing a cell-derived component, in this order.