4308results about "Individual particle analysis" patented technology

The invention discloses a grinding machine internal part temperature anomaly detection method based on vibration signal analysis, which comprises the following steps that grinding data are collected through sensor deployment, and the sensors comprise a temperature sensor, a vibration sensor, an infrared thermal imaging sensor, a magnetic resistance current sensor and an inductance type particle sensor; carrying out preprocessing and feature extraction on the collected data; model construction and training are carried out based on data of preprocessing and feature extraction; according to the method, the abnormal condition of the temperature of the part is predicted by detecting the vibration signal of the internal part, the content of metal particles in lubricating oil is detected through the oil analysis sensor, and the abrasion degree of the bearing is judged in combination with the vibration signal. And motor current harmonic characteristics are monitored, and overload or rotor imbalance problems are identified.

The invention relates to a method and system for monitoring the number and radius of bubbles in a sieve-plate tower, and the process is as follows: dividing two frequency bands of a bubble generation sound production area and a bubble breaking sound production area according to the frequency in an audible sound range [20-20,000] Hz; sound sensors are installed between the sieve-plate towers and / or in the middle of the height of a liquid layer, and sound signals of fluid in the towers in the driving process are collected; the collected sound signals are preprocessed; obtaining the dominant frequency of each sound wave pulsation in the sound signal by using a fast Fourier transform algorithm, determining whether the dominant frequency belongs to a bubble generation sound production area or a bubble breaking sound production area according to the frequency band in which the dominant frequency is located, and substituting the dominant frequency into a corresponding correlation formula to determine the radius of the bubble; and counting the number of pulse peaks in the bubble generation sound production area and the bubble breaking sound production area within the sample time, and respectively obtaining the generation number of bubbles and the breaking number of bubbles. And real-time monitoring of the number and size of bubbles in the sieve-plate tower in a driving state is realized.

The invention provides a tumor detection data analysis method based on a peripheral blood immune marker, and belongs to the technical field of immunodetection.The tumor detection data analysis method comprises the steps that firstly, a peripheral blood sample of a patient is collected, and plasma and cell components are separated; analyzing various immune cell phenotypes by using flow cytometry; determining the concentration of key cell factors; analyzing the molecular expression level of the immune checkpoint; establishing an immune cell subset proportion empirical function; analyzing a cell factor expression mode by using an immune lineage transcriptome analysis model; establishing a tumor immune microenvironment score by combining the immune cell subset proportion and a model output result; the accuracy of the scoring system is verified through clinical follow-up visit and iconography examination; a standardized report template is formulated to provide a tumor early detection basis. Wherein the immune lineage transcriptome analytical model adopts a multi-modal attention fusion network architecture, three different immune data streams can be processed and integrated at the same time, and accurate evaluation of tumor-related immune states is realized.

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.

The invention relates to the technical field of concentration calculation, in particular to a water suspended matter concentration calculation method based on multi-wavelength detection, which comprises the following steps of: adopting a multi-spectral measurement method, utilizing light beams with different wavelengths to penetrate through a water body, and identifying particle size distribution and morphological characteristics of suspended matter particles; separating and correcting the turbidity contribution of the particles with different particle sizes through a least square fitting algorithm; decomposing the measured optical signal into a basic scattering component, a particle size dependent component and a background signal component by adopting a multi-level signal decoupling algorithm; and in combination with data after particle characteristic correction and optical signal decoupling, constructing a suspended matter concentration calculation model based on particle dynamics, calculating the water suspended matter concentration by using the dynamic model, and outputting suspended matter concentration data. According to the method, dynamic modeling is carried out on the concentration of the suspended matter, a dynamic equilibrium equation is solved through numerical values, and the concentration change of the suspended matter in time and depth is accurately described.

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 discloses an oil abrasive particle multi-channel detection device based on Helmholtz coils, and belongs to the technical field of oil abrasive particle detection, the detection structure comprises an excitation assembly and an induction assembly, the excitation assembly comprises excitation coils and a tubular outer-layer skeleton, the excitation coils are wound around the two ends of the outer portion of the tubular outer-layer skeleton, and the induction assembly is wound around the tubular outer-layer skeleton. And a uniform magnetic field is generated. The induction assembly comprises a plurality of induction units arranged side by side. According to the invention, the Helmholtz excitation coil and the multiple groups of differential induction coils are designed, and the multiple induction units are arranged side by side to form a multi-channel detection system; the Helmholtz excitation coil generates a uniform magnetic field in a detection area, so that the detection system can keep consistent sensitivity to metal abrasive particles at different radial positions, and meanwhile, the throughput of mechanical oil is ensured by parallel connection of multiple channels; the problem of inaccurate detection caused by non-uniform radial magnetic field of an induction type oil abrasive particle detection system in a large-circulation pipeline is effectively 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 relates to the technical field of biological medicine, in particular to a T cell receptor targeting AFP peptide, a preparation method of the T cell receptor and a companion diagnostic kit. A T cell receptor targeting an AFP peptide is provided, the sequence of the AFP peptide is FMNKFIYEI, and the T cell receptor comprises a TCR [alpha] chain variable domain and a TCR [beta] chain variable domain. Corresponding nucleic acid molecules, vectors and host cells, and methods of making T cell receptors are provided. Further provided is a companion diagnostic kit containing the cell receptor. The invention provides a better choice for concomitant diagnosis and treatment products of cells of alpha fetoprotein (AFP).

To provide a bone marrow fluid analysis method, analysis device, and computer program, which enable screening for hematopoietic tumors with performance similar to that of bone marrow image examination.SOLUTION: The above challenge is cleared by measuring a sample containing a bone marrow fluid and a fluorescent pigment capable of staining nucleic acids using a flow cytometer, acquiring optical information including fluorescent signal information on particles in the sample, counting particles with fluorescent signal information that is equal to or greater than a threshold as target cells, and obtaining a screening index for hematopoietic tumors based on the number of target cells.SELECTED DRAWING: Figure 1

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.

The invention belongs to the technical field of immunodetection, and discloses a rabbit monoclonal antibody mAb6 of an anti-mouse immune globulin G2a subtype (IgG2a) and application thereof. The rabbit monoclonal antibody mAb6 comprises a light chain variable region and a heavy chain variable region, the light chain variable region comprises LCDR1-3, the LCDR1 comprises an amino acid sequence KSVYKNNY, the LCDR2 comprises an amino acid sequence GTN, and the LCDR3 comprises an amino acid sequence AGGYID; the heavy chain variable region comprises HCDR1-3, the HCDR1 comprises an amino acid sequence RFSLSNYR, the HCDR2 comprises an amino acid sequence IFTRGST, and the HCDR3 comprises an amino acid sequence ARGWNS. The rabbit monoclonal antibody disclosed by the invention can be combined with a mouse immune globulin G2a subtype (IgG2a) in a high-specificity manner, can be applied to immunodetection, and provides a basis for further preparation of engineering antibodies.

To provide favorable systems and method for correction of positionally dependent electromagnetic radiation detected from objects within a suitable fluid column.SOLUTION: A discrimination system forms a fluid column and interrogates objects within the fluid column with an excitation source. A fluid column forming a structure creates a fluid column containing objects at differing positions within the fluid column, and an excitation source generates excitation electromagnetic radiation directed toward objects in the fluid column at a measurement region. An optical arrangement collects output electromagnetic radiation emanating from the excited objects disposed within the fluid column and directs the output electromagnetic radiation to a detector. An analyzer reduces the positional dependency of the detected intensity by normalizing a value based on the position of each object.SELECTED DRAWING: Figure 1

The invention discloses a label-free nano plastic and single cell interaction monitoring imaging method which comprises the following steps: placing a sensing chip attached to cells on an SPRM, and recording a cell SPR image in the interaction process of the cells on the sensing chip and nano plastic; after the cell SPR image and the cell bright field image are compared to determine the corresponding area of the single cell in the SPR image, the deformation data of the cell membrane in the interaction process of the single cell and the nano plastic are obtained according to the SPR signal intensity of the area of the single cell, and the monitoring of the interaction of the nano plastic and the single cell under the resolution of the single cell is realized. The technical support is provided for researching the binding kinetics and cytotoxicity of the nano plastic.

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.

The invention discloses a spherical particle size measurement method based on an interference imaging technology and Unit + +. A spherical particle interference fringe pattern is obtained through an interference particle imaging system, and a simulation program is written to obtain a simulation fringe pattern; corresponding label graphs are made according to particles of different sizes, and a data set is divided into a training set, a verification set and a test set; the network is improved, and seven residual modules and one up-sampling module are added into the network; hyper-parameters are adjusted, training and testing are carried out through the data set, and finally the optimal weight is obtained. The network reconstructs spherical particle images of different sizes, and connected domains of the images are measured to obtain particle size information. The result shows that the average relative error of the particle size is less than 0.002%, and the average detection rate is 53.38 fps. Real-time and high-precision measurement of the spherical particle size is realized, and technical support is provided for acquisition of cloud particle field information.

This flow cytometer includes a flow path through which an observation object flows with a fluid; an optical illumination system including a spatial optical modulation device, and a first optical element; and an optical detection system including a first light detector, wherein the optical illumination system further includes a first spatial filter disposed in a first optical path between a light source and an image position of light imaged in the flow path by the first optical element and having a first region which hinders traveling of light emitted from the light source towards the observation object, the optical detection system further includes a second light detector disposed in a second optical path between the first light detector and the image position and having a second region which directs the light modulated by the observation object towards the first light detector, and the position of the first region and the position of the second region are in a substantially optically conjugate relationship.

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.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a particulate ingredient of a mixture including a hopper configured to dispense particles along an axis and in freefall through an imaging region, an illumination sub-system including at least one light source arranged at a first location with respect to the axis and configured to illuminate the imaging region, an image capture sub-system including at least one image capture device including a telecentric lens and arranged at a second location with respect to the axis and configured to align a focal plane of the at least one image capture device with the axis within the imaging region, such that when a particle freefalls through the imaging region, the particle is illuminated by the illumination sub-system and the image capture sub-system captures images of at least three silhouettes of the particle within the imaging region.

Various implementations, systems and methods are disclosed for continuous, near real-time, hands-off sampling of airborne particulate matter, and qualification and / or quantification of biomolecules in the sample representative for biologic or microbial contamination. The systems and methods may utilize an electrostatic precipitator for sampling the matter; and a measurement assembly configured to illuminate, excite, or breakdown the sampled matter by electromagnetic radiation, and to detect a spectrum, or one or more wavelength bands of the scatter emitted by the sample. In an exemplary implementation, a sputter deposition process is employed to configure the sample for an enhanced plasmon resonance. The measurement data may be transferred via wireless communication means for cloud storage and signal processing.

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.

An optical arrangement receives output light emanating from an object disposed within a fluid column that crosses an optical refraction boundary of the fluid column between the object and the optical arrangement. The optical arrangement modifies the output light such that the modified output light has an intensity that is more uniform than the output light.

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 reagent for rapidly distinguishing bacterial and virus infection and application, belongs to the field of molecular biology, relates to medical and biotechnology, and aims to solve the problem that a traditional method cannot clearly distinguish bacterial infection from virus infection. The reagent comprises five antibodies marked with different fluorescence. The five antibodies are all mouse anti-human or rabbit anti-human antibodies, and targets corresponding to the five antibodies are respectively CD45, CD14, CD64, CD169 and HLA-DR (human leukocyte antigen-DR). The tail end of the antibody is connected with different fluorescein through chemical reaction; fluorescence labeling is performed on neutrophils, mononuclear cells and lymphocytes in peripheral blood through an antibody combination of CD molecules, and corresponding infection indexes are calculated through a flow cytometry method, so that the infection type (bacterial / virus infection) of a patient is quickly distinguished and judged.