257 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 invention belongs to the field of deep learning and medical image analysis, provides a glioma stem cell image segmentation method and system, and aims to solve the problems that glioma stem cells are high in morphological heterogeneity, fuzzy in boundary and prone to missing detection of tiny targets. On the basis of a deep learning network model framework, three-stage improvement is carried out: in a preprocessing stage, a dynamic data enhancement strategy is introduced, and image enhancement is carried out on a pathological image through combination of CLAHE and a Gaussian filtering algorithm; in the feature extraction stage, a bidirectional feature pyramid network (BiFPN) and a BiFPN module are adopted to realize efficient fusion of cross-scale features, and more accurate cell image segmentation and cell counting are realized.

The invention provides a micro-fluidic biosensor array, and relates to the technical field of sewage detection, the micro-fluidic biosensor array comprises a flow channel layer, a first detection layer and a second detection layer which are sequentially stacked from top to bottom; a flow channel structure is arranged in the flow channel layer, a micro-column array is arranged in the flow channel structure, and the micro-column array is used for generating a gradient resistance field for flowing liquid; the first detection layer is provided with a liquid inlet, the liquid inlet is used for receiving liquid discharged from the flow channel layer, the first detection layer comprises a three-dimensional interdigital electrode array and a micropore array modified by a quantum dot labeled antibody probe, and the three-dimensional interdigital electrode array is used for capturing and dissolving organic matter molecules; the second detection layer comprises a fluorescence detection module and an electrochemical detection module, the fluorescence detection module is used for carrying out cell counting and fluorescence signal acquisition on target microorganisms captured by the micropore array, and the electrochemical detection module is used for realizing directional enrichment and concentration detection of heavy metal ions. By means of the micro-fluidic biosensor array, sewage detection of multiple types of parameters can be achieved.

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.

The invention discloses a urine detection method based on lensless microscopic lamination imaging, which comprises the following steps of: acquiring a low-resolution image of a urine sample by using a lensless microscopic lamination imaging device, calculating an incident wave vector to obtain a light field, and performing Fourier transform on the light field; smooth processing is carried out through Gaussian filtering, and image enhancement is carried out through Laplacian sharpening; using the low-resolution image to obtain a final large-view-field high-resolution image through iterative updating; adaptive threshold segmentation is carried out on the image, and then cells and a background are separated to obtain a segmented image; performing edge detection on the image by using a Canny operator to output the image; carrying out edge detection on each pixel point by using a non-maximum suppression method, and segmenting by using double thresholds; and performing cell counting on the image after edge detection, calculating the cell density, and finally outputting the identified and calculated information. The improvement of the method is expected to promote wide application of lensless microscopic lamination imaging in urine detection.

This disclosure concerns a cytometry system including a handling system that enables presentation of single cells to at least one laser source. The laser source is configured to deliver light to a cell within the cells in order to induce bond vibrations in the cellular DNA. The system further includes a detection facility that detects the signature of the bond vibrations, wherein the bond vibration signature is used to determine the folding or packing of the DNA.

The described invention is a cell counting device for counting target cells within a fluid, the device comprising: a microfluidic channel configured to receive a flow of a cell-containing fluid through an inlet and conduct the flow of the cell-containing fluid along the channel, the microfluidic channel sized such that target cells within the cell-containing fluid flow consecutively through the microfluidic channel; a first photodetector arranged to receive light that has passed through the microfluidic channel at a first measurement point, such that signal from the photodetector varies due to the received light being restricted by the passage of cells across the first measurement point in the microfluidic channel; a processing unit configured to receive a signal from the photodetector and distinguish the size of a cell passing the first measurement point based on an interruption time during which the signal intensity received from the photodetector is reduced, thereby determining the presence of a target cell type. Using an optical interruption signal in this way, provides a low cost device that does not require fluorescent dyes to label the cells nor does it require lasers, microscopes or other specialist equipment such that the device is suitable for point-of-care and at-home use and does not require the direction of a trained specialist operator.

The present invention belongs to the technical field of counting devices, specifically an organic photovoltaic cell counting device and method thereof, which solves the problem of error defects in counting through photoelectric sensors. The device comprises a feed conveyor and a discharge conveyor, wherein a transfer counting component is provided between the feed conveyor and the discharge conveyor, and the transfer counting component comprises a supporting circular table provided between the feed conveyor and the discharge conveyor, and a rotating transfer member for cell transfer is provided on the outer side of the supporting circular table. When the supporting circular table moves downward, the baffle plate moves downward to close the end of the feed conveyor, thereby preventing subsequent organic photovoltaic cells from continuing to move, ensuring that the organic photovoltaic cells can be transferred and counted in sequence, and improving counting accuracy.

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 relates to a microfluidic technology, in particular to a blood cell counting device and method based on the microfluidic technology, and the blood cell counting device comprises a microfluidic disc, a positioning module, a bearing part and a first driving module; the micro-fluidic disc further comprises a first groove and a second groove which are clockwise formed in the circumferential direction of the micro-fluidic disc, and a jewel hole is used for communicating the first groove with the second groove; the first groove is communicated with the mixing groove through a first channel; the first hole is used for communicating the second groove with the outside, and the air exhaust unit is used for being connected with the first hole according to needs; the first electrode is arranged in the first groove, the second electrode is arranged in the second groove, and liquid in the first groove sequentially passes through the first electrode, the gem hole and the second electrode; the analysis unit obtains the number of blood cells according to output signals of the first electrode and the second electrode. The method is applied to blood cell counting and has the advantages of automation and the like.

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.

Systems and methods for identifying clumps (or groupings) of cells in cell counting systems. One example method executed by an electronic processing device for an image processing system includes receiving an image, captured by an imaging device, of a sample having a plurality of cells. The image includes labeling data for each of the plurality of cells. The method includes applying filters, determined based on the labeling data, to the image, processing the image to identify a plurality of groupings of the plurality of cells, and fitting an ellipse around each of the groupings by determining ellipse data for each of the ellipses. Each respective grouping of the plurality of groupings includes at least two cells having a same viability whose cell membranes are touching at least one other cell in the respective grouping.

The utility model discloses a cell counting test card which comprises a sample loading head and a handle, the sample loading head is a sheet-shaped piece made of a transparent material, the sheet-shaped piece is internally provided with a volume cavity for accommodating a sample to be detected, and one side of the volume cavity is provided with a sample adding port for adding the sample to be detected into the volume cavity; the handle is connected to the sample loading head and is used for being held and operated by a user; wherein the volume cavity comprises a measuring area and a storage area, the height size of the measuring area is smaller than that of the storage area, the storage area surrounds the periphery of the measuring area, and a to-be-detected sample in the storage area can flow into the measuring area. According to the cell counting test card disclosed by the utility model, the inner and outer surrounding structures of the storage area and the measurement area are utilized, and the height dimension difference of the storage area and the measurement area is utilized, so that a liquid sample can be fully filled in the measurement area, and the liquid sample is fully spread to achieve a more uniform and clear form, and further the accuracy and the reliability of a counting result are improved.

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.