113 results about "Cell counting" patented technology

The invention relates to the technical field of medical informatics and artificial intelligence technology cross application, in particular to a dynamic intelligent prediction system for HIV infected person immune reconstruction insufficiency. Comprising a data acquisition and management module, a data preprocessing and feature engineering module, a Bayesian joint modeling core module, a dynamic prediction calculation module, a multi-dimensional verification and evaluation module and a clinical application service module. According to the method, on the basis of large-sample multi-center longitudinal follow-up visit data, a Bayesian shared parameter dynamic joint model is adopted, the dependency relationship between dynamic trajectories of immune indexes such as cell counting and the like and IIR occurrence time is captured, real-time risk prediction is achieved through a sequential Bayesian updating mechanism, and through multi-dimensional verification, the risk prediction accuracy is improved. The method has the advantages that the performance is better than that of an expert-driven model, expert experience pre-judgment and 19 mainstream machine learning algorithms, an individualized conclusion with a confidence interval can be output, clinical decision is assisted, prediction is promoted to be clinical from scientific research, and the method has important application value and popularization prospect.

The invention relates to the technical field of medical treatment, and particularly discloses a compound prognosis model for cancer prognosis evaluation, a prognosis evaluation method and a calculator. The compound prognosis model is constructed based on inflammation burden related prognosis indexes ALNCR and TNM by stage combination; the creation method comprises the following steps: step 1, collecting albumin concentration, lymphocyte count, neutrophil count and C-reactive protein concentration data of a cancer patient; 2, calculating an ALNCR index according to a formula; 3, according to a clinical classic TNM staging system, the patients are divided into a TNM staging stage I, a TNM staging stage II, a TNM staging stage III or a TNM staging stage IV; 4, the ALNCR index obtained in the step 2 and the TNM staging result obtained in the step 3 are associated and integrated, and the individualized prognosis score of the ALNCR.TNM composite prognosis model is obtained through calculation. The method is suitable for clinical rapid application; high-risk patients can be accurately distinguished, a quantitative basis is provided for individualized treatment and follow-up visit strategy formulation, and excessive medical treatment or insufficient treatment is reduced.

According to the cell fixing liquid, phenol oxidase is used for catalyzing phenol to be oxidized into a quinone structure, the quinone structure reacts with protein amido to form light covalent immobilization, cell immobilization is achieved, a stable hydration environment and membrane protection are provided through the ionic liquid solvent choline dihydrogen phosphate, a phosphate-free buffer system is provided, and cell immobilization is achieved. Therefore, a novel cell fixing liquid is obtained, the cell structure integrity required by cell imaging analysis is effectively reserved, meanwhile, cell staining fluorescence signal interference is avoided, and therefore the accuracy of cell counting and cell imaging analysis is ensured.

The present invention provides an online purification and sampling and visualized automatic enrichment apparatus and method for deep-sea microorganisms. Through online sample pretreatment during microorganism sampling, automatic biological concentration and purification, online monitoring of environmental indicators during biological enrichment, online observation of biomass, and automatic enrichment and transfer of high-purity enriched materials, the present invention overcomes the shortcomings of the prior art, such as difficulties in purifying deep-sea microorganism samples under high-pressure environments, complex manual operations for enrichment and observation, low timeliness of biomass observation, and difficulties in real-time cell counting of the enriched materials. This effectively increases the enrichment rate and acquisition efficiency of difficult-to-culture deep-sea microorganisms, providing a fundamental way for enhancing deep-sea biological research and bioresource development efficiency.

We provide a system and method for autofocus and automated cell counting. [Solution] A system and method for autofocus using artificial intelligence includes (i) capturing multiple monochrome images over a nominal focal range, (ii) identifying one or more connected components within each monochrome image, (iii) sorting the identified connected components based on the number of pixels associated with each connected component, (iv) generating focus quality estimates for at least some of the sorted connected components using a machine learning module, and (iv) calculating a target focal position based on the focus quality estimates of the evaluated connected components. The target focal position can be used to perform cell counting using artificial intelligence, for example, by (i) generating seed likelihood images and whole cell likelihood images based on the output of a convolutional neural network, and (ii) generating a mask indicating the quantity and / or pixel location of objects based on the seed likelihood image.

Systems and methods for autofocus using artificial intelligence include (i) capturing a plurality of monochrome images over a nominal focus range, (ii) identifying one or more connected components within each monochrome image, (iii) sorting the identified connected components based on a number of pixels associated with each connected component, (iv) generating a focus quality estimate of at least a portion of the sorted connected components using a machine learning module, and (iv) calculating a target focus position based on the focus quality estimate of the evaluated connected components. The calculated target focus position can be used to perform cell counting using artificial intelligence, such as by (i) generating a seed likelihood image and a whole cell likelihood image based on output—a convolutional neural network and (ii) generating a mask indicative quantity and / or pixel locations of objects based on the seed likelihood image.

An analytical method of and system for monitoring cell status whereby excitation energy is focused to an excitation cytometry volume in a cell sample to fluoresce first and second fluorophores of a cell. Fluorescence signals from the first and second fluorescing cell fluorophores are directed to a detection subsystem. A first peak in fluorescence intensity for the first fluorophore is detected as is a second peak in fluorescence intensity for the second fluorophore. The fluorescence signals are processed to identify when the first and second peaks occur substantially simultaneously indicating the presence of a cell at the excitation cytometry volume instead of background fluorescence and in response, the cellular status of the cell is measured using the intensity of the levels of the first and second peaks.

A non-transitory, processor-readable medium stores instructions that, when executed by a processor, cause the processor to receive, at a first time, a first data array associated with a first cytometric instrument. The first data array includes a set of scatter signal datapoints that includes data representing: at least one low forward scatter signal output, at least one high forward scatter signal output, at least one low side scatter signal output, and at least one high side scatter signal output. At a second time subsequent to the first time, a cytometric instrument parameter is adjusted based on the first data array, and / or a first cytometric measurement of the first cytometric instrument is reconciled with a second cytometric measurement of a second cytometric instrument different from the first cytometric instrument, based on at least one of the first data array or a second data array associated with the second cytometric instrument.

The application discloses an automatic cell counter and belongs to the technical field of cell counters. The automatic cell counter comprises a cell counter body, a lifting assembly, an assembly plate and a transverse position adjusting assembly. The bottom of the cell counter body is provided with an assembly groove. The lifting assembly is installed in the assembly groove and drives the assembly plate to move up and down. The automatic cell counter drives two middle plates to linearly move in opposite directions along guide frames through the transverse position adjusting assembly, so that the distance between the two middle plates is adjusted to adapt to cell culture dishes with different diameters. The first tooth plate is driven to move along the first guide rod through power. When the first tooth plate moves, the first tooth plate is engaged with the gear, and then the second tooth plate is synchronously driven to move, so that the two clamping rollers are synchronously moved to the cell culture dish, the clamping of the cell culture dishes with different diameters is completed, the clamping components need not be replaced, and the operation complexity and the workload of users are reduced.

This application relates to a storage device, a memory device, and a method of operating the memory device. A memory device includes a plurality of memory cells, peripheral circuitry, and control logic. The peripheral circuitry performs a first read operation on a selected memory cell using a plurality of read voltages. In the first read operation, the control logic controls the peripheral circuitry to perform a cell counting operation, adjusting the remaining read voltage among the plurality of read voltages based on a read offset table and a cell count as a result of the cell counting operation, and performing the first read operation on the selected memory cell using the remaining read voltage. The control logic executes, in parallel among a plurality of consecutively executed read operations, a read data output operation of a second read operation performed prior to the first read operation and a cell counting operation corresponding to the first read operation.

The application discloses an application of a TLR4 / NF-kappa B signal path inhibitor in preparation of a medicine for improving hematopoietic function of anemic inflammatory, relates to the technical field of biology and medicine, and discloses an application of the TLR4 / NF-kappa B signal path inhibitor in preparation of a medicine for improving hematopoietic function of anemic inflammatory, wherein the TLR4 / NF-kappa B signal path inhibitor is Danggui Buxue Decoction; the Danggui Buxue Decoction is composed of Astragalus and Angelica with a mass ratio of 5:1; the TLR4 / NF-kappa B signal path inhibitor is used for down-regulating expression of TLR4 protein and NF-kappa B protein in liver tissue; the improvement of hematopoietic function of anemic inflammatory includes increasing peripheral blood red blood cell count, white blood cell count, platelet count and hemoglobin level; the Danggui Buxue Decoction is used as the TLR4 / NF-kappa B inhibitor to improve anemic inflammatory, can down-regulate TLR4 / NF-kappa B expression, improve blood cells and hemoglobin, improve bone marrow pathology, reduce inflammatory factors and hepcidin, increase iron content, and provide a corresponding curative effect evaluation method, and provides a new choice for anemic inflammatory treatment.

The invention relates to the technical field of biomedical detection, and discloses an umbilical cord blood unfreezing reference specimen cell counting and flow cytometry dilution method which comprises the following steps: S1, preparing an unfreezing solution which is composed of HES, AB plasma and PBS, and placing the unfreezing solution at room temperature for later use; s2, taking the unfrozen umbilical cord blood unfreezing reference specimen, adding an unfreezing solution into the umbilical cord blood, firstly gently and uniformly mixing, then standing at room temperature, then continuing to add the unfreezing solution, gently and uniformly mixing again, then standing at room temperature, and stabilizing; s3, taking the diluted umbilical cord blood, and carrying out cell counting by adopting a counting instrument; and S4, taking the diluted umbilical cord blood again, and dyeing. The unfreezing solution composed of HES, AB plasma and PBS synergistically regulates osmotic pressure, provides cell nutrition, stabilizes the pH value, reduces the damage of the cryoprotectant to cord blood cells, maintains the cell activity, and improves the problem of result deviation caused by direct detection of cell damage in the prior art.

The utility model discloses a cell counting plate capable of counting in batches. The cell counting plate comprises a bottom plate, a counting chamber, an overflow groove, a supporting plate and a cover plate, the counting chambers are arranged at the top of the bottom plate and are orderly arranged into two rows to form a counting chamber array, the counting chamber array comprises a downward hollowed-out self-flowing chamber, a counting table is arranged in the self-flowing chamber, and the counting table is surrounded by the self-flowing chamber; the overflow groove is arranged around the counting chamber; the supporting plates are arranged on the two sides of the counting chamber, and the top faces of the supporting plates are slightly higher than the top face of the counting table. The cover plate is arranged on the supporting plate, and the cover plate and the supporting plate are fixedly connected. A plurality of counting chambers are connected into a whole through a bottom plate and share one cover plate, different cell mixed liquid samples are added into each counting chamber, and target cells in each sample are counted in a counting table, so that counting of a plurality of samples is completed by using one counting plate, and rapid, efficient and accurate cell counting is realized.

Synthetic human cell mimic hydrogel particles and their use in cytometric or coulter device applications are described. The synthetic human cell mimic hydrogel particles described herein are selectively tunable to have at least one optical, volumetric, or capacitance property that is substantially similar to a corresponding optical, volumetric, or capacitance property of the human cell mimic hydrogel particle's natural biological cell counterpart.

The present disclosure relates to: a culture medium composition for culturing lactic acid bacteria, which comprises superfine red pepper powder as an active ingredient; a method for culturing lactic acid bacteria using the culture medium composition for culturing lactic acid bacteria; a method for increasing a viable cell count of lactic acid bacteria; a lactic acid bacteria fermentation broth prepared using the culture method; a probiotic food composition comprising the lactic acid bacteria fermentation broth; and a probiotic beverage composition comprising the lactic acid bacteria fermentation broth.

The invention relates to the technical field of biomedical engineering, and discloses a detection method for esophageal squamous carcinoma CTC enrichment and immunotherapy curative effect dynamic evaluation, and the method utilizes a micro-fluidic chip to carry out electrical impedance detection and physical preliminary screening on cells in a whole blood sample. And performing anti-reclosing time sequence verification on the screened interstitial circulating tumor cells, triggering transient flow resistance regulation and control when conditions are met, and opening a lateral shunt channel to reduce the flow velocity of a main flow channel. And meanwhile, the adaptive optical imaging unit is synchronously switched to a long integral time mode to collect a fluorescence image. And finally, the data calculation terminal calculates an immunotherapy curative effect evaluation index in combination with cell counting, an omission compensation item and PD-L1 expression intensity. Through synchronous linkage of the flow velocity and exposure, the problem of weak fluorescence signal detection under high-speed flow is solved, and the evaluation accuracy is improved.

The present invention relates to a sample collection device 1 for collecting fluid, in particular for counting particles or determining the concentration of particles in the fluid, particularly for determining biological cells. It has two sample collection chambers 11 and 12 with a defined collection volume V. Each sample collection chamber 11 and 12 has a first opening 110, 120 for inserting the fluid into the respective chamber 11 or 12 and a vent opening 111 or 121. The sample collection device 1 consists of three components A, B, and C, wherein the third component C connects the first component A and the second component B.

The present invention belongs to the field of prognosis of pesticide poisoning. Specifically disclosed is a method for establishing a mortality risk prediction index for acute diquat pesticide poisoning, comprising: collecting data; establishing a mortality risk index model based on demographic characteristics and routine blood test results; and training, internally validating, and externally validating the model. The mortality risk index provided by the present invention comprehensively considers age, blood concentration of diquat, white blood cell count, and aspartate aminotransferase concentration, aiming to accurately evaluate, in the form of an index, the mortality risk of patients suffering from acute diquat pesticide poisoning. Through in-depth analysis of large-scale clinical data, the mortality risk index of the present invention possesses scientific validity and accuracy at the data level, and can also play an important role in clinical practice. Further, the present invention can be applied to construct a terminal device for predicting the mortality risk of acute diquat pesticide poisoning, assisting medical teams in more reasonably allocating medical resources and prioritizing high-risk patients, thereby improving overall treatment outcomes and the patients' chances of survival.

Various examples of the disclosure relate to techniques to count cells in a microscopy image and / or to determine a degree of confluence of the cells in the microscopy image. To that end, machine-learned algorithms are used.

The embodiments of the present application are applicable to the technical field of biomedical technology and image processing. Provided are a cell counting method and apparatus, and a computer device. The method comprises: acquiring an image of adherent stem cells; using a trained detection segmentation model to segment the image of adherent stem cells, so as to obtain a plurality of stem cell masks; and, on the basis of the plurality of stem cell masks, determining the number of stem cells contained in the image of adherent stem cells, wherein the detection segmentation model comprises a backbone network structure, convolutional layers in the backbone network structure are multi-layer pyramid convolutions, and the multi-layer pyramid convolutions are used for extracting multi-scale feature information from the image of adherent stem cells. The method can be used for quickly and accurately counting adherent stem cells.

The embodiment of the invention relates to a method for controlling a tissue dissociation system and the tissue dissociation system. The method comprises the following steps: at a control device, controlling a tissue dissociation instrument to dissociate a tissue sample in a dissociation tube, and providing the dissociated tissue sample to a liquid workstation through a mechanical arm; treating the dissociated tissue sample by a liquid workstation, and sub-packaging the obtained cell sample into a cell counting sample plate; a mechanical arm provides the cell counting sample plate to a cell culture box, and the cell culture box performs incubation operation on cells in the cell counting sample plate; the cell counting sample plate incubated by the cell incubator is transferred to an image analysis system by the automatic guided vehicle; the image analysis system is used for carrying out cell counting on the cell counting sample plate and sending a cell counting result to the liquid workstation; and based on the cell counting result and the predetermined density value, controlling the liquid workstation to prepare the single-cell suspension with the predetermined density. In this way, tissue dissociation automation is achieved.

In one aspect, the present teachings provide a system for performing cytometry that can be operated in three operational modes. In one operational mode, a fluorescence image of a sample is obtained by exciting one or more fluorophore(s) present in the sample by an excitation beam formed as a superposition of a top-hat-shaped beam with a plurality of beams that are radiofrequency shifted relative to one another. In another operational mode, a sample can be illuminated successively over a time interval by a laser beam at a plurality of excitation frequencies in a scanning fashion. In yet another operational mode, the system can be operated to illuminate a plurality of locations of a sample concurrently by a single excitation frequency, which can be generated, e.g., by shifting the central frequency of a laser beam by a radiofrequency. The detected fluorescence radiation can be used to analyze the fluorescence content of the sample, e.g., a cell / particle.

Feed compositions include one or more vitamin D3 compounds selected from 1-α-hydroxy vitamin D3, 25-hydroxy vitamin D3, and / or 1-α-,25-dihydroxy vitamin D3 in an amount sufficient to improve milk quality and / or to increase milk yield of a ruminant animal.

The application provides a method for constructing a PCI postoperative patient all-cause death risk prediction model, which comprises the following steps: obtaining a training data set containing clinical electronic medical records, blood cell count and blood biochemical data of patients undergoing selective PCI, and at least 5 years of postoperative follow-up and all-cause death label; performing Z-score standardization on continuous variables and one-hot encoding on category variables for pretreatment; screening 43 core features through LASSO regression combined with ten-fold cross-validation; constructing a model based on a LightGBM algorithm, taking a binary logarithmic loss function as a measurement standard and optimizing hyperparameters through grid search; finally outputting a prediction model which can receive core feature data of a new patient and output the postoperative all-cause death probability of the new patient; and the application can realize accurate prediction of long-term death risk of PCI postoperative patients.

This disclosure provides a method for identifying and counting unlabeled (native) blood cells and analytes in whole blood. In particular, this disclosure relates to devices used within the body equipped with microfluidic cytometry optical sensors and detectors that recognize analytes or histological architecture from within a patient to provide clinically actionable data related to the subject's health.

The utility model discloses cell image amplification counting equipment, and relates to the technical field of cell counting, an opposite displacement mechanism is arranged in a box frame of a sealing box, a first support arm is arranged on a rack of one group of guide sliding tables, a second support arm is arranged on a rack of the other group of guide sliding tables, and the first support arm is connected with the second support arm. A braking mechanism for driving the transmission shaft is installed at the bottom of a box frame of the sealing box, a slide tool is installed above a supporting plate of the first supporting arm, and a detection tool is installed below a supporting plate of the second supporting arm. According to the design, to-be-detected cells are placed in the slide, the slide tool is used as a bearing platform of the slide, then the braking mechanism is used as a driving source to drive the opposite displacement mechanism to move oppositely, the detection tool and the slide tool are close to each other, and the detection efficiency is improved by utilizing the mechanical displacement of the detection tool. The cells on the slide tool are amplified and counted one by one, the operation and control are simpler and more convenient, and the amplification and counting of cell images are quicker and more accurate.

The invention relates to the technical field of monitoring, and discloses a carbon nanotube fiber-based multichannel electrode pool for neural stem cell culture and signal acquisition, the carbon nanotube fiber-based multichannel electrode pool comprises a baffle plate, the upper surface of the baffle plate is provided with a cell culture dish, the cell culture dish is internally provided with a cell culture pool, one side of the cell culture pool is provided with a separator plate, and the separator plate is provided with a carbon nanotube fiber. The upper surface of the baffle plate is provided with a terminal display screen, and the upper surface of the baffle plate is provided with a conductive contact. According to the invention, the electrode adopts the carbon nanotube fiber as a conductive material, the conductivity reaches 1000-1500S / cm, the conductive sensitivity is excellent, and the electric signal characteristics of neural stem cells can be accurately captured; the three conductive contacts arranged at equal intervals are in full contact with cell sap, an electric signal direct transmission mechanism is matched, the data error rate is smaller than or equal to + / -1.2%, compared with a traditional fluorescent dye method and a cell counting method, manual observation and counting errors are greatly reduced, and reliable data support is provided for cell viability evaluation.

This invention proposes an injection mold for a cell plastic counting plate, belonging to the field of injection mold technology. It includes a fixed mold assembly and a moving mold assembly that, after being closed, form a mold cavity. A cavity forming assembly is embedded within the mold cavity, and its forming cavity matches the shape, micro-chambers, and microchannel structure of the cell plastic counting plate. The gating system connects to an external injection molding machine and the forming cavity. The ejection and demolding assembly adopts a combination of ejector pins and push rods. The cooling system is a conformal cooling water channel. The mold also includes a guiding and positioning assembly, an venting system, and a limiting mechanism. This invention is designed specifically for the precision structural characteristics of cell counting plates, enabling accurate molding of micro-chambers, microchannels, and other structures, with dimensional tolerances controlled within ±0.01μm. It achieves one-time molding of multi-chamber counting plates, ensuring uniform melt filling, stable cooling and demolding processes, effectively preventing product deformation and ejection damage, and improving the product's dimensional accuracy, structural integrity, and yield.

A device and method are taught for stimulating sympathetic nerves toward mitigating negative impacts to hematopoiesis. An autonomic nerve actuator and stimulator system with a graphic user interface (GUI), controller circuit which converts treatment parameters into a series of Building Block Waveforms (BBW) which are output to Current / Voltage Driver Circuitry (CDC) whose electrical stimulus (ES) outputs are coupled to one or more electrodes and / or electrode arrays positioned proximal specific nerve situations. The use of this in combination with conventional chemotherapy treatments, such as use of carboplatin, was found to significantly enhance hematopoiesis, with improvements in white and red blood cell counts, platelet concentration and hemoglobin concentration, in addition to other measurable characteristics which increased survival rates in the experimental groups tested.

The invention provides a nipple discharge cytological examination method, and belongs to the technical field of nipple discharge cytological examination. Calculating an optimal detection parameter combination including a dyeing time parameter, an antibody concentration parameter, a cell counting threshold parameter, a fluorescence intensity threshold parameter and a cell morphology evaluation weight parameter, performing pasteurization and HE dyeing treatment on the nipple discharge smear according to the optimal parameter combination, and observing cell morphology characteristics. A multi-parameter flow cytometry is used for analyzing cell marker expression and cell cycle distribution, a fluorescence in situ hybridization technology is used for detecting chromosome abnormalities such as HER2 gene amplification, TOP2A gene change and chromosome No.17 centromere number change, and a diagnosis result risk grading system is established. The technical problem that in the prior art, nipple discharge cytology examination is not high in accuracy is solved.