3088results about "Individual particle analysis" patented technology

The invention relates to the technical field of sewage detection, provides an intelligent detection method for suspended particles in coking sewage based on image deep learning, and aims to solve the problems of detection lag and low precision in the prior art. According to the technical scheme, the method comprises the following steps: synchronously acquiring sound wave and image data through a high-frequency ultrasonic transducer and an industrial camera, and extracting acoustic parameters and optical characteristic parameters; using a dual-channel convolutional neural network to fuse features, and combining a cross-modal attention mechanism to perform dynamic weighting; and outputting a particle concentration classification result and a particle size distribution prediction value through a multi-task learning model, and performing online learning to compensate environmental interference factors. The device is mainly used for realizing real-time and high-precision suspended particle monitoring and automatic process adjustment of coking sewage treatment.

Methods and devices for analyzing a sample from a subject are provided. A device includes one or more coherent light sources and one or more partially coherent light sources. The light sources are configured to emit first and second wavelengths of electromagnetic radiation towards an imaging chamber configured to hold blood cells. The light sources are aligned to illuminate a single common area of the imaging chamber. The device includes optics positioned to receive light from the imaging chamber, and a detector in optical communication with the optics. The detector is configured to detect fluorescence emission and backscatter from blood cells when present in the imaging chamber. The device includes mixers / unmixers configured to replicate and mix first and second signals representative of the responses to the first and second wavelengths after interacting with the plurality of blood cells to generate spectro-spatial responses.

The invention provides a sample pretreatment automation method for flow cytometry, and belongs to the technical field of sample pretreatment for flow cytometry. A biological sample to be detected is collected and placed in a collection tube containing an EDTA-K2 anticoagulant for pretreatment; an automatic pipetting system is used for carrying out incubation reaction on an anticoagulant whole blood sample and an intelligent matching fluorescence labeling antibody mixed solution, and a double-layer game optimization verification system is used for verifying the rationality of an antibody adding proportion and reaction condition parameters; carrying out fluorescence characteristic readability index prediction on the incubated cell suspension by adopting an intelligent dilution parameter regulator model, dynamically adjusting hemolysis parameters and suspension conditions, and adding 1 * hemolysin working solution by using an automatic liquid adding device to carry out hemolysis treatment so as to finish pretreatment; the technical problems that in the pretreatment process of flow cytometry detection samples, parameters are often based on artificial experience, and the reproducibility and standardization degree of detection results are insufficient are solved.

The invention belongs to the field of target detection, particularly relates to a bubble detection method based on multi-modal input and an improved target detection network, and aims to solve the problems that an existing bubble detection model is sensitive to environmental parameter changes, depends on a large amount of annotated data, is poor in migration adaptability, lacks multi-modal information fusion and physical law constraints, and is poor in migration efficiency. The precision is low and the cost is high. According to the method, gas-liquid two-phase flow images and temperature, pressure and flow velocity parameters are collected, a target detection network is constructed, and multi-scale visual features are extracted. After physical parameters are coded into high-dimensional features, a comprehensive feature map is generated through dynamic weighted fusion, and a detection head is input to output a bounding box and convert the bounding box into an actual size. An ideal gas equation and fluid mechanics are adopted to construct a physical constraint loss function correction size, environment self-adaption is achieved in combination with a dynamic weight adjustment and fine adjustment mechanism, and the detection precision and physical consistency are improved. According to the method, the bubble detection precision and the environmental adaptability are improved, and the labeling cost is reduced.

The invention relates to the technical field of antibodies, and provides an anti-CD45 antibody for detecting a white blood cell common antigen based on flow cytometry and application of the anti-CD45 antibody, the antibody comprises at least one of the following CDRs: a heavy chain variable region CDR: an amino acid sequence of SEQ ID NO: 1-3 or a conservatively modified form thereof; and a light chain variable region CDR: SEQ ID NO: 4-6 or an amino acid sequence in a conservative modification form thereof. The antibody or the antigen binding fragment thereof can efficiently and specifically recognize CD45, and can effectively detect the CD45.

The invention relates to the technical field of cell sorting, in particular to a sorting control system and a sorting method of a flow cytometer, the system comprises a data acquisition unit and a control unit, and the method comprises the following steps: acquiring a plurality of breakpoint images of liquid drops to determine whether the forming process of the liquid drops is qualified or not according to the pixel variance of breakpoints; determining whether the oscillation stability is qualified or not according to the oscillation area of the oscillation curve of the piezoelectric ceramic based on the unqualified droplet forming process so as to determine whether the sheath fluid flow velocity is obtained or not; determining a matching degree based on the flow velocity curve of the sheath fluid flow velocity and the frequency curve of the liquid drop to increase the sheath fluid pressure according to the fluctuation intensity of the fluorescence signal; determining a target liquid drop according to a fluorescence detection result, determining liquid drop delay according to the target liquid drop, and determining whether the target liquid drop can fall into the collecting pipe or not according to the initial deviation angle of the target liquid drop, so as to adjust the inter-plate voltage of the deflection plate. The sorting precision is improved.

The invention provides a multi-channel one-core multi-detection integrated detection method, which is applied to the technical field of in-vitro diagnosis and comprises the following steps: acquiring time sequence original signals of blood routine, liver function and kidney function channels; obtaining a baseline stable primary signal through cross-channel baseline trend coupling and adaptive correction; adopting a machine learning model to identify interference components and performing component offset to obtain a decoupling signal; mapping the decoupling signal into a physiological parameter value and carrying out rationality test; when the low credible parameter exists, a rechecking mechanism is triggered; performing weighted fusion on the basis of the rationality test result and the recheck signal to obtain a comprehensive parameter set; and finally generating a comprehensive detection report containing the credibility score. Cooperative processing and fusion analysis of multi-channel detection signals are realized, and the accuracy and reliability of a detection result are remarkably improved through interference identification and a dynamic recheck mechanism.

The invention discloses an application of CD4 + CD8 + double-positive T cells in improvement of poor immune reconstitution of HIV (human immunodeficiency virus) infected patients, and relates to the technical field of biological pharmacy, in particular to the application of preparation of the CD4 + CD8 + double-positive T cells in the poor immune reconstitution of the HIV infected patients. The number of peripheral blood CD4 + T cells of HIV infected patients is increased, the immune system of the patients is improved, and the probability of possible opportunity infection and other related diseases of the patients is reduced, so that the morbidity and mortality of the patients are reduced.

According to the sorting control system of the flow cytometry sorting instrument, liquid drop images are shot through a camera, and liquid drop states are quantitatively evaluated and monitored on the basis of image content information. In order to determine the liquid drop breaking state, a liquid drop image stroboscopic shooting mode is designed to observe the liquid drop state, and the STM32H7 provides a synchronous control signal. When the droplet generation state is stable, the droplet breaking image is close to a stationary state. The stroboscope lamp is controlled to be turned on at different moments in a period, so that different states of liquid drop generation can be observed. The time difference between the detection time and the charging time is quantitatively determined through liquid drop delay control, and accurate delay control over sorting is achieved. And finally, a full-automatic algorithm is adopted to calibrate the liquid drop time delay, the liquid drop time delay is continuously tried to be changed, and when the shooting brightness of the sorted CCD camera under a certain liquid drop time delay is the highest, the time delay is considered to be the current liquid drop time delay, so that full-automatic calibration of the liquid drop time delay is realized.

Methods for detecting diffusing particles are provided which comprise introducing a sample comprising a diffusing particle to an optical microcavity; coupling probe light into the optical microcavity such that the probe light is in resonance with the optical microcavity, wherein the diffusing particle diffuses into an optical mode volume defined by the coupled probe light; and detecting output light from the optical microcavity as a function of time while maintaining resonance, wherein the diffusing particle generates a change the detected output light. Systems for carrying out the methods are also provided.

The invention provides an aerosol simulation system, and the system comprises a micropump array which is used for extracting raw materials in a raw material storage unit, and forming a mixed solution; the micropump array comprises a first micropump and at least one second micropump; the raw material storage group comprises a first raw material storage unit and at least one second raw material storage unit; the control module can control the micropump array to extract a first raw material of the first raw material storage unit at a first pumping speed and extract a second raw material of the second raw material storage unit at a second pumping speed; the atomization module is used for carrying out atomization treatment on the mixed liquid to form aerosol and adjusting the temperature and humidity of the aerosol; and the first pumping speed and the second pumping speed in the control module are adjusted according to the physicochemical properties. The chemical component concentration and physical parameters of the output aerosol are dynamically changed in real time so as to simulate the whole life cycle of a real cigarette from ignition to extinguishment.

The invention discloses a method for constructing a differential diagnosis model for lupus nephritis and membranous nephropathy, and belongs to the technical field of intelligent medical treatment. The modeling method comprises the following steps: S1, respectively collecting flow cytometry detection data of lupus nephritis patients and healthy control personnel; s2, performing data cleaning and conversion on the flow cytometry detection data, and converting non-numerical features into digits; carrying out implication on the missing value by adopting a k nearest neighbor algorithm from an implication packet; s3, random sampling is carried out on the cleaned and converted data set, and samples are divided into a training set and a verification set according to the proportion of 7: 3; s4, dividing a training subset and a test set from the training set, and iteratively selecting the types of cells incorporated into the constructed model as pDC, CD4T, effector CD4T, Th2, CD8T, CD38 + HLA-DR + CD8T, and CD38 + PD-1 + CD8T by adopting an RFE method, wherein the types of the cells incorporated into the constructed model are pDC, CD4T, effector CD4T, Th2, CD8T, CD38 + HLA-DR + CD8T and CD38 + PD-1 + CD8T; and S5, performing a classification task by adopting TabPFNClassifier, performing training from features selected from the training data set, then evaluating the performance of the model, performing model training by utilizing detection data, and performing evaluation to construct a lupus nephritis prediction model with high accuracy.

A system includes a flow cell and a fluidics system under pressure causing sheath and sample biological fluids to flow. The fluidics system includes a gas bubble remover to remove and eliminate gas bubbles in the sheath fluid. The flow cell receives sheath fluid from the fluidics system, wherein the sample biological fluid flows with cells or particles through the flow cell to be surrounded by the sheath fluid. A deflection chamber under the flow cell receives drops of the sample biological fluid and sheath fluid out of the flow cell to selectively deflect one or more of the drops along one or more deflection paths. A droplet deposition unit system in communication with the deflection chamber receives the selectively deflected drops in the stream of the sample biological fluid with the one or more biological cells or particles into one or more containers.

The invention discloses an intelligent on-line monitoring method and system for oil abrasion particles of hydraulic forcible entry equipment. The method comprises an on-line monitoring method and an on-line monitoring system. According to the online monitoring method, an electrostatic, inductive and optical multi-source sensor data acquisition module, a feature engineering processing module, a multi-modal feature fusion module, an abrasive particle quantitative and qualitative analysis module and an abrasion analysis module are included, and the online monitoring system comprises the online monitoring method, a monitoring sensor installation module and an abrasion intelligent decision-making module. According to the method, quantitative monitoring and abrasion mode analysis of metal abrasive particles, non-metal abrasive particles, ferromagnetic metal abrasive particles and non-ferromagnetic metal abrasive particles in oil of the hydraulic type forcible entry equipment can be synchronously completed through multi-mode fusion monitoring, online monitoring of the abrasion particles of the hydraulic type forcible entry equipment is achieved, and an intelligent maintenance decision is given.

The invention discloses a dry-method electrode film rolling compounding method and dry-method electrode film rolling equipment. The method comprises the following steps: leading out a current collector film from an unpowered unreeling shaft, forming a suspension arc by virtue of self weight, and penetrating through a first roller gap; synchronously unrolling the two dry-method electrode films in an unpowered manner, so that the two dry-method electrode films enter the first roller gap in a self-weight overhanging state and are attached to the two surfaces of the current collector film to form an initial complex; coating the outer side of the initial complex with an isolating membrane to obtain a to-be-heated complex, and enabling the to-be-heated complex to enter a second roller gap after the to-be-heated complex is overhung by self weight; the to-be-heated composite body is subjected to hot-pressing compounding through compounding rollers on the two sides of the second roller gap; and then stripping the isolating membrane and rolling the double-sided dry-method pole piece. According to the method, near-zero tension conveying is achieved through natural suspension, and by matching with isolation film wrapping and one-time double-face pressing of the hot-pressing roller, edge micro-cracking and whole belt breakage of the dry-method electrode film can be effectively avoided, and the interface density and the roll-to-roll production yield are improved.

The invention provides an oil aliasing particle detection device based on a multi-frequency eddy current effect, which adopts a multi-mode electromagnetic sensing architecture, integrates three groups of orthogonally arranged solenoid coil detection units in a single detection channel, and respectively loads low-frequency (10-100kHz), intermediate-frequency (100kHz-1MHz) and high-frequency (1-10MHz) excitation signals with different characteristics, so as to detect the aliasing particles in the oil. Based on frequency domain response characteristic differences presented by different metal particles in high, medium and low frequency eddy current fields, a particle material-size-space distribution frequency domain characteristic matrix is constructed through multi-physics field coupling modeling, and synchronous identification and orthogonal decoupling of ferromagnetic particles and non-ferromagnetic particles are realized. According to the invention, the eddy current effect difference characteristics of metal / non-metal particles under excitation of different frequencies are utilized, and a signal decoupling algorithm is combined to realize accurate distinguishing of aliasing particles, so that the reliability of high-flux oil detection is remarkably improved; and a key technical support is provided for engineering application of a microfluid chip technology in the fields of engine wear monitoring, hydraulic system fault early warning and the like.

The invention discloses a simulation lunar dust excitation speed measurement system and method under a vacuum plume action condition, and relates to the technical field of aerospace engineering, and the system comprises a vacuum chamber and thruster system, an image collection assembly, a synchronous control collection system, a pulse laser light path, a high-speed spotlight, and a simulation lunar surface. In the invention, two optical systems of particle image velocity measurement and particle tracking velocity measurement are integrated in the same experiment, and the 532nm optical filter and the light trapping sheet are configured to realize compatibility of optical requirements, so that the problems that lunar dust particles with different scales and velocities cannot be measured synchronously and the optical systems interfere with each other in the prior art are solved; according to the method, velocity field data of micron-sized high-speed small particles and millimeter-sized low-speed large particles can be synchronously obtained and directly correspond to each other, the measurement integrity and reliability are improved in combination with simulation environment and synchronous control, and accurate data support is provided for spacecraft lunar dust prevention design.

To provide an analysis element and a manufacturing method thereof that can prevent an object to be analyzed from being unable to be analyzed appropriately.SOLUTION: A manufacturing method of this analysis element 100 includes the steps of forming a mask layer 20, forming a membrane layer 30, exposing a substrate 10, forming an introduction hole 13 and forming a protrusion 14 at the inlet end 13a of the introduction hole 13, and removing the protrusion 14 by wet etching the protrusion 14.SELECTED DRAWING: Figure 13

The invention relates to a device and a method of a high-sensitivity suspension single-droplet sensor for monitoring PM2.5 pollution, belongs to the technical field of aerosol microdroplet spectrum trace analysis, and solves the problem that ppb-magnitude gas cannot be monitored in the prior art. The method comprises the following steps: pumping aerosol into a sample cell of a droplet suspension system in a single droplet form; introducing required reaction gas into the sample pool through an atmosphere control system; scattered light signals of the single liquid drops are respectively input into the dynamic signal processing system and the microdroplet imaging system; acquiring the characteristic peak displacement change of the metal ion sensing microdroplet; establishing a gas particle distribution Mie scattering inversion model based on micro-droplet dynamic response; inverting the radius of the liquid drop according to the stimulated Raman scattering / stimulated elastic scattering signal; according to the quantitative relationship of the reaction, calculating the generation of sulfate by the droplet suspension system (sensor); and judging which gas in the actual atmosphere is a main oxidation pathway for oxidizing sulfur dioxide to generate sulfate pollutants according to a calculation result.

The invention relates to the field of plant breeding, and particularly provides a method for fixing rice heterosis by using an OsZFPP gene. The method comprises the following steps: firstly, constructing an OsZFPP1 gene or OsZFPP2 gene expression cassette driven by an OsECA1 promoter; then, an expression box of rice with three target points of OsPAIR1, OsREC8 and OsOSD1 being knocked out of CRISPR / Cas9 is constructed; integrating the expression cassette into the same vector to transform hybrid rice; screening three-gene homozygous mutation and OsZFPP positive plants, and identifying diploid cloned offspring through flow cytometry and genome sequencing. According to the method, the rice OsZFPP gene is combined with MiMe to provide a novel method for fixing the heterosis of the rice through apomixis, the heterosis of the rice can be successfully fixed through the method, an apomixis system with the high maturing rate can be obtained, and a novel solution is provided for fixing the heterosis of the rice through the apomixis.

The invention provides an intrinsic solid-state ion mobility testing method and device based on optical imaging, and relates to the technical field of performance testing of solid-state ion electrolyte materials.The method comprises the steps that a test sample pool is assembled; performing a power-on test on the test sample pool; extracting size information of solid electrolyte powder particles to be detected from the optical image; extracting a time-varying curve of the optical intensity of the solid electrolyte powder particles to be detected from the optical image, and determining time information of the optical response of the particles from beginning to balance in the voltage variation process based on the curve; determining the electric field intensity under the test condition according to the magnitude of the applied voltage and the total thickness of the thin-layer insulating substrate; and determining the intrinsic ion mobility of the solid electrolyte powder particles to be detected according to the size information, the time information and the electric field intensity.

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 application belongs to the technical field of animal models for basic scientific research, and particularly relates to a method for establishing an acute lung injury animal model, which comprises the following steps: sending a podophyllotoxin or a podophyllotoxin reagent into a rat body through oral administration or intragastric perfusion to obtain the acute lung injury animal model. The method for establishing the acute lung injury animal model provided by the application uses the podophyllotoxin as an inducer for establishing a mouse acute lung injury model, and the mouse can orally take or intragastrically perfuse the podophyllotoxin to achieve the method, without needing a special medicine injection device, so that the method is simple in medicine taking, few in experimental steps, and does not need complex surgical operations.

The invention discloses an antibody combination and a system for detecting leukemia stem cells. The antibody combination comprises a CD7 antibody, a CD371 antibody, a CD34 antibody, a CD45RA antibody, a CD123 antibody, a CD133 antibody, a CD38 antibody, a CD45 antibody, a CD90 antibody, a CD33 antibody and a CD19 antibody. The antibody combination provided by the invention can accurately identify target cells and distinguish normal HSCs and pluripotent progenitor cells in a CD34 + CD38-cell population, and the specific antibody has abnormal expression or expression intensity change, so that leukemia stem cells can be rapidly, simply and conveniently detected with high accuracy, high sensitivity and high specificity, the sensitivity of MRD evaluation is favorably improved, and the kit has a good application prospect. Therefore, signs of disease recurrence can be found earlier, more information about disease prognosis can be provided, and doctors and patients can be helped to better understand disease prognosis and possible results.

The invention discloses a method for acquiring grain orientation characteristics based on optical and height characteristics of an alloy etching structure. The method comprises the following steps: (1) acquiring grain orientation distribution and grain size of an alloy surface structure; (2) obtaining an etching structure on the surface of the alloy; (3) acquiring optical characteristics of the etched structure on the surface of the alloy; (4) obtaining height characteristics of an alloy surface etching structure; and (5) constructing a correlation model of structure grain orientation characteristics based on alloy surface optics and height characteristics, and realizing prediction. Aiming at the test of the alloy grain orientation, the optical and height characteristics of the alloy surface etching structure are synthesized, the measurement of the centimeter-level large sample size or full-area grain orientation of the alloy is easy to realize, and compared with the existing measurement aspect, the method is more efficient and convenient; and more comprehensive and reliable tissue information can be provided for alloy optimization and new material development, and the method has important significance for high-throughput characterization and intelligent manufacturing.

The invention relates to the technical field of biology, in particular to application of CD200 in evaluation of biological functions of mesenchymal stem cells. The biological efficacy of the cells can be rapidly judged by detecting the positive rate and the average fluorescence intensity of the CD200 on the surfaces of the mesenchymal stem cells through flow cytometry, and the method is simple, convenient and rapid, has a wide application prospect and is worthy of popularization and application. According to the invention, the expression level of the CD200 on the surface of the mesenchymal stem cell and the biologic function (secretion level of anti-inflammatory factors PGE2 and IDO, and inhibition rate on TNF-alpha and IFN-gamma secreted by PBMC) of the CD200 are illuminated for the first time, and the biological function of the umbilical cord mesenchymal stem cell is evaluated by adopting a method for detecting the positive rate of the CD200 and MFI for the first time. When the CD200 positive rate is greater than 40% and the average fluorescence intensity MFI is greater than 500, the TNF alpha secretion inhibition rate is greater than 40%, and the IFN gamma secretion inhibition rate is greater than 20%.

The invention discloses a high-throughput antigen-specific T cell detection method based on mass spectrum flow cytometry. The invention belongs to the technical field of biology, and particularly relates to a high-throughput antigen-specific T cell detection method based on mass spectrum flow cytometry. According to the present invention, the activation induction marker (AIM) technology and the intracellular cytokine staining (ICS) are integrated, and the CyTOF platform is combined to achieve gt; 20 parameters are synchronously detected, and multiple activation-induction marker double positive markers, multifunctional cytokine spectrums (IFN-gamma, TNF-alpha, GZMB, IL-2 and the like) and immune memory phenotypes (CD45RA / CCR7) are covered. The standardized detection scheme provides a high-dimensional and quantifiable biomarker combination for vaccine protection efficacy evaluation, and has important clinical application value.

In one embodiment, a method is disclosed to determine one or more biological cells of interest to identify and count in a mixed biological sample fluid with differing biological cells. The method can include selecting cell markers associated for biological cells to which conjugated antibodies can attach with differing fluorescent dyes; displaying a panel builder graphical user interface window to display a co-expression matrix by biological cell type to assist in selecting cell markers to assign co-expression; and selecting cell markers to assign co-expression with an input device.

The micro-fluidic chip comprises a chip main body, the chip main body is provided with a first sample inlet, a second sample inlet, a first detection system and a second detection system, the first detection system is communicated with the first sample inlet, the first detection system is used for carrying out optical detection on a sample input from the first sample inlet, the second detection system is communicated with the second sample inlet, and the second detection system is used for carrying out optical detection on a sample input from the second sample inlet. And the second detection system is used for performing optical detection on the sample input from the second sample inlet. The provided micro-fluidic chip is more integrated, miniaturized, more portable, lower in cost, more convenient to use and free of pollution, waste of samples and reagents can be reduced, the first detection system and the second detection system are mutually independent and do not interfere with each other, and the detection accuracy is improved. And an operator can conveniently know different functions realized by the two functions and carry out corresponding operation.

The invention is suitable for the technical field of coating detection, and provides a scraper fineness testing method based on machine vision and an intelligent algorithm, and the method comprises the following steps: capturing a particle distribution image through a 4K line scanning camera and a multi-angle LED light source; through Gaussian-median hybrid filtering, adaptive threshold segmentation (calculating a dynamic threshold based on a neighborhood mean value or a Gaussian weighted mean value), sub-pixel edge refinement (bicubic interpolation) and form / color / texture feature extraction, particles, bubbles, scratches and other interference items are distinguished, A-method and B-method dual-mode analysis is supported, and a particle distribution diagram and a form parameter report are generated. According to the method, manual operation errors are eliminated, the recognition precision of particles with the particle size larger than or equal to 2.5 microns is improved, automation and data traceability of the detection process are achieved, and the method is suitable for paint fineness detection within the range of 0-150 microns.