192 results about "Cell counting" patented technology

The present disclosure provides systems and methods for analyzing a mixed population of cells. In particular, the present disclosure provides systems and methods for digital cytometry of a biological sample, digital analysis of a biological sample, digital purification of a biological sample, evaluation of a disease in an individual, and prediction of a clinical outcome of a disease therapy.

The invention discloses an inertial micro-fluidic chip integrating cell focusing and sorting and a preparation method thereof. The inertial micro-fluidic chip comprises a cover plate layer, a runner layer and a substrate layer, a chip inlet, a first chip outlet and a second chip outlet are formed in the cover plate layer; the flow channel layer is provided with a sample liquid flow channel inlet, a first flow channel outlet and a second flow channel outlet, the chip inlet is communicated with the sample liquid flow channel inlet, the first chip outlet is communicated with the first flow channel outlet, and the second chip outlet is communicated with the second flow channel outlet. The flow channel layer is provided with a spiral cell sorting flow channel and a cell focusing flow channel, the front end of the spiral cell sorting flow channel is communicated with a sample liquid flow channel inlet, the tail end of the spiral cell sorting flow channel is communicated with the cell focusing flow channel and a first flow channel outlet, and the tail end of the cell focusing flow channel is communicated with a second flow channel outlet. Through a microfluid vortex focusing technology and a spiral flow channel inertia sorting technology, accurate sorting and focusing of cells are realized, and the problems that the focusing state of the sorted cells is influenced and the cell counting detection precision is low are effectively solved.

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

The invention 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 invention discloses a phycomycete composite biological fertilizer for an arid loess area as well as a preparation method and application of the phycomycete composite biological fertilizer, and belongs to the technical field of biological fertilizers. The phycomycete composite biological fertilizer is prepared from nitrogen-fixing anabaena and acinetobacter, counted by a single cell, the total viable count of the anabaena azotica is greater than or equal to 1.0 * 10 < 6 > CFU / mL, and the total viable count of the acinetobacter is greater than or equal to 1.0 * 10 < 7 > CFU / mL. Experiments prove that the phycomycete composite biological fertilizer can significantly improve the germination potential and germination rate of crop seeds, promote seedling growth, improve the nutritional quality of crops and reduce the death rate of seedlings, is suitable for various crops such as wheat, Shanghai Qing and peas, and has important application value in agricultural production in arid regions.

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.

The invention discloses a blood cell counting device. The blood cell counting device comprises a front tank, a rear tank, a counting hole, at least one detection assembly and a control assembly, wherein the front tank is communicated with the rear tank through the counting hole; the at least one detection assembly is adjacent to the front tank and / or the rear tank; the control assembly is connected with the detection assembly. When blood cell counting is carried out on a to-be-detected sample, the control assembly is used for controlling the detection assembly to detect the liquid level position of the to-be-detected sample and controlling the blood cell counting device to stop blood cell counting when the liquid level position reaches a preset position. Through the blood cell counting device, blood cell counting can be carried out on the to-be-detected sample, and when the liquid level position of the to-be-detected sample in the front pool and / or the rear pool reaches the preset position, it can be determined that the to-be-detected sample with the fixed volume flows through the counting hole, and due to the fact that the to-be-detected sample with the fixed volume contains cells with the fixed particle number, the counting accuracy is improved. The influence on the counting result caused by factors such as the blockage of the counting hole and the size of the counting hole can be avoided, and the counting result is relatively accurate.

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 provides a hedera helix extract as well as an extraction method and application thereof, and belongs to the technical field of medicinal plant extraction. According to the method, natural eutectic solvents are screened, and the interaction of the solvents is determined by adopting an infrared spectrum; on the basis of single factor investigation, a response surface method is used for modeling and optimizing an extraction process of eight active components in the hedera helix so as to improve the extraction rate, and a scanning electron microscope is used for exploring the permeation effect of a natural eutectic solvent combined with an ultrasonic-assisted extraction method on plant cells from a microscopic perspective; finally, determining that the natural eutecticevaporate solvent is combined with an ultrasonic-assisted extraction method through a cell counting kit-8 method and an active oxygen detection method to obtain the hedera helix extract which has a stronger inhibition effect on HT-29 colon cancer cells.

The present invention provides a method for determining a mortality risk and / or probability of healthy lifespan of a cat; said method comprising determining the level of one or more biomarker(s) in one or more samples obtained from the cat, wherein the one or more biomarker(s) is selected from white blood cell count, haemoglobin, serum urea nitrogen, serum AST, serum chloride, serum total bilirubin, serum globulin, red blood cell count, serum sodium, serum cholesterol, serum potassium, serum alkaline phosphatase, and / or serum GGT.

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 invention provides novel sample chambers, units and multi-well plates, and systems and methods thereof, for built-in measurement assurance of cell counting methods and calibrated and / or quality-assured measurement and analysis of diverse types of biological cells, e.g., cell count, cell size, cell concentration, cell sub-population, cell morphology, cell viability, etc.

The invention relates to the technical field of water quality detection, and discloses a method for rapidly detecting AOC in water based on a flow cytometry and application of the method. The method comprises the following steps: (1) respectively and sequentially carrying out low-nutrition domestication and culture on two test bacteria P17 and NOX to obtain a P17 bacterial solution and an NOX bacterial solution; (2) making a standard curve by successively inoculating two test bacteria of P17 and NOX; and (3) determining the concentration of AOC in the water sample: determining the concentration of AOC in the water sample by using the KP17 and the KNOX. The method provided by the invention is obviously superior to a common nonlinear discrete trend in a traditional P17 / NOX plate counting method, ensures reliable association between strain growth and cell counting under different carbon concentration conditions, and has good reproducibility and anti-interference capability.

The invention relates to the technical field of cell packaging and counting, in particular to a micro-fluidic chip and a cell counting system. A sample hole, a dye hole, a waste liquid hole and a dilution hole are formed in the micro-fluidic chip, a sample micro-channel, a dye micro-channel, a waste liquid channel and a dilution micro-channel are arranged in the micro-fluidic chip, the sample hole is communicated with the sample micro-channel, the dye hole is communicated with the dye micro-channel, the waste liquid hole is communicated with the waste liquid channel, and the dilution hole is communicated with the dilution micro-channel; a dilution cavity, a uniform mixing micro-channel and a photographing observation cavity are also arranged in the micro-fluidic chip. According to the micro-fluidic chip disclosed by the invention, through integrated design and ingenious design of the positions and connection relations of the dilution cavity, the uniform mixing micro-channel and the photographing observation cavity, the steps of sample dilution, dyeing, observation and the like are successfully integrated into one micro-fluidic chip, so that a full-automatic process from sample introduction to final counting is realized, the operation flow is greatly simplified, and the working efficiency is improved. And the cell counting efficiency and accuracy are greatly improved.

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.

A cell analysis method, cell analyzer, and computer-readable storage medium are disclosed. The method comprises: obtaining first and second original optical information of each cell to be tested in a sample solution to be tested; using the first original optical information as reference optical information to obtain a first set of valid detection data for each cell to be tested; using the second original optical information as reference optical information to obtain a second set of valid detection data for each cell to be tested; and determining, according to preset rules, final valid detection data for each cell to be tested from the first and second sets of valid detection data, for use in identifying target cells in the sample solution to be tested. The cell analysis method, cell analyzer, and computer-readable storage medium fully utilize cell characteristic information reflected by different optical signals, thereby improving the accuracy of cell classification, scatter plot morphology, and cell counting.

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.