5544results 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 provides a method for drug screening and disease model construction of liver organoid, relates to the technical field of medical research, and adopts multi-modal data acquisition, fusion and intelligent analysis and quantum computing processing to optimize comprehensive application of data, so that the richness, accuracy and analysis efficiency of the data are remarkably improved, and the risk of drug screening and disease model construction of liver organoid is reduced. Multi-source data of genomics, transcriptomics and the like are collected comprehensively, an accurate research system of immune-hepatic disease interaction based on organoid is constructed, an in-vivo complex immune-hepatic disease microenvironment can be highly simulated, the proportion and activation state of immune cells are accurately regulated and controlled in an in-vitro model, functional and phenotypic changes of the immune cells are monitored in real time, and the immune-hepatic disease interaction accuracy is improved. According to the present invention, the interaction mechanism between the immune cells and the liver organ cells is deeply revealed, such that the accurate information basis is provided for the accurate determination of the drug action target, the development of the innovative drug for the immune check point or tumor microenvironment regulation is easily achieved, and the pertinence and the success rate of the drug research and development are substantially improved.

Detection of microplastics is accomplished using a combination of techniques. A position-detection technique such as crossed-polarization detection, autofluorescence detection, or photothermal infrared imaging is used to determine the locations of microplastics in a sample. Infrared absorption can be detected at those locations to characterize the microplastics. In this way the microplastic content can be located and characterized more quickly and accurately than using conventional techniques.

The present disclosure provides methods and systems for ghost cytometry (GC), which may be used to produce an image of an object without using a spatially resolving detector. This may be used to perform image-free ultrafast fluorescence “imaging” cytometry, based on, for example, a single pixel detector. Spatial information obtained from the motion of cells relative to a patterned optical structure may be compressively converted into signals that arrive sequentially at a single pixel detector. Combinatorial use of the temporal waveform with the intensity distribution of the random or pseudo-random pattern may permit computational reconstruction of cell morphology. Machine learning methods may be applied directly to the compressed waveforms without image reconstruction to enable efficient image-free morphology-based cytometry. Image-free GC may achieve accurate and high throughput cell classification as well as selective sorting based on cell morphology without a specific biomarker, which have been challenging using conventional flow cytometers.

Described herein are systems and methods for sorting and selecting cells by immobilizing or enclosing cells in degradable hydrogel chambers, including a method of sorting cells comprising: (a) providing a fluidics device comprising: (i) a channel comprising a surface, (ii) a spatial energy modulation element in optical communication with the surface, and (iii) a detector in optical communication with the surface and in operable association with the spatial energy modulating element, the detector identifying cells and determining positions thereof on the surface; (b) loading the channel with cells and one or more polymer precursors so that the cells are disposed on or adjacent to the surface; (c) immobilizing one or more cells selected based on one or more optical signals therefrom by synthesizing one or more gel structures enclosing each of the one or more cells by projecting light into the channel with the spatial energy modulating element such that the projected light causes cross-linking of the one or more polymer precursors to form gel structures, wherein the positions of the gel structures in the channel are determined by the positions of the cells enclosed thereby identified by the detector; and (d) removing from the channel unselected cells.

The invention discloses a patient immune response monitoring method and system for cell drug clinical research, and the method comprises the following steps: 1, obtaining a peripheral blood sample of a patient, and preprocessing the peripheral blood sample to obtain patient sample components; multi-dimensional immune indexes and cell drug specific immune response are detected by comprehensively utilizing multiple technologies, immune cell subsets, cell factors, immune globulin, T cell response and the like are covered, and therefore a complex immune response system is comprehensively reflected; peripheral blood samples are collected at multiple time points according to a cell drug action mechanism and a half-life period, and the whole-course change of the immunoreaction is effectively tracked, so that the development trend of the immunoreaction is accurately grasped; the method has the advantages that the characteristics are visually presented by constructing the immune response atlas of the patient, evaluation and prediction are assisted, real-time monitoring reports and treatment suggestions are provided according to evaluation and prediction results, doctors are assisted to adjust treatment in time, and accordingly the safety and effectiveness of cell drug treatment are improved.

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 discloses a circuit for simultaneously switching transimpedances of multiple channels by adopting a shift register. The circuit is characterized in that an FPGA (Field Programmable Gate Array) is connected with a signal acquisition and conversion circuit module through an analog-to-digital converter and a clock generation and distribution module; the signal acquisition and conversion circuit module comprises a bias voltage setting module, a pi-type filter, a photoelectric sensor and a transimpedance amplification module which are connected in series; the input end of a transimpedance amplifier in the transimpedance amplification module is connected with a transimpedance gain access circuit, the transimpedance gain access circuit is connected with the output end of the transimpedance amplifier through an analog switch, and the control end of the analog switch is connected with the FPGA through a shifting register. According to the circuit and the method for simultaneously switching the transimpedances of the multiple channels by adopting the shift register, the transimpedance gain of the transimpedance amplifier is judged and switched according to the size of the signal, the range of the input signal is expanded, the resolution is improved, and the IO resources of the FPGA are saved and the cost is reduced by utilizing the storage function and the serial-parallel conversion function of the shift register.

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 discloses a grain quality detection device and method, a control device and a storage medium, and the device comprises a grain sample separation device which is used for dividing a target grain sample into two paths and conveying the target grain sample to a first discharge port and a second discharge port; the appearance quality detection device is used for detecting an appearance detection result; a volume weight detection device for detecting a target volume weight; the internal quality detection device is used for detecting an internal quality detection result; the safety index detection device is used for detecting a safety index detection result; a recovery device; the conveying device is used for sequentially conveying the target grain sample among the first discharge port, the appearance quality detection device and the recovery device and among the second discharge port, the volume weight detection device, the internal quality detection device, the safety index detection device and the recovery device; and the control device is used for determining grade information of the target grain sample according to the appearance detection result, the target volume weight, the internal quality detection result and the safety index detection result. The detection efficiency and the accuracy of the detection result can be improved.

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.

A hydrogel particle, comprising a matrix comprising a polymerized monomer, said matrix comprising a plurality of micropores and a plurality of macropores, and one or more immunostimulatory biomolecules selected from the group consisting of an anti-CD3 antibody or antigen-binding fragment thereof, an anti-CD28 antibody or antigen-binding fragment thereof, and combinations thereof.

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 an operating room air quality dynamic monitoring analysis method, which is characterized by comprising the following specific steps of: creating a plurality of sampling areas for monitoring air quality around an operating bed in an operating area in advance, and continuously collecting and storing the quantity and the concentration of particulate matters in different particle size ranges in air in different sampling areas; by monitoring personnel access conditions, different operation types, different cleaning modes and different material distribution methods, data support is provided for improving control quality, the influence of different environmental changes on particulate matters in air is analyzed, and then control can be performed by adopting positive means according to analysis results. The air quality data of the operation core area and the peripheral area can be obtained through the multiple sampling areas, the data are stored to form a continuous air quality broken line graph, the air quality full view of the whole day is truly restored, and therefore the air quality in the operating room is improved.

The present invention relates to a method for rapid detection of live / dead bacteria in animal Bifidobacterium lactis subspecies fermentation liquid, the method comprising: centrifuging the fermentation liquid and discarding the supernatant to obtain a bacterial precipitate, diluting to obtain a bacterial suspension, mixing with SYTO 9 / PI fluorescent dye, incubating, and analyzing by flow cytometry. The present invention detects cells after SYTO 9 and PI double staining by flow cytometry, can effectively distinguish live bacteria (green fluorescence) from dead bacteria (red fluorescence), achieves high-throughput distinction between live bacteria and dead bacteria, is used for rapid and accurate determination of live / dead bacteria counts of animal Bifidobacterium lactis subspecies, improves detection efficiency and accuracy, and provides strong technical support for quality control of probiotic fermentation products.

The invention discloses a slurry detection device and method and a slurry coating system, and relates to the technical field of batteries. The conductive liquid and the target particulate matter filtered from the battery slurry sample are accommodated in the insulating groove, and the liquid and the target particulate matter in the insulating groove can flow into the hole pipe through the hole under the condition that the internal pressure of the hole pipe is greater than the external pressure. When target particles enter the hole pipe through the hole, a voltage pulse signal is generated. At the moment, the voltage sampling circuit connected in parallel with the direct-current power supply can detect the voltage pulse signal, and then the particle condition in the battery slurry can be determined according to the voltage pulse signal. Therefore, according to the slurry detection device provided by the embodiment of the invention, the particle condition of the battery slurry can be directly determined through the collected voltage pulse signal, manual observation and analysis through a microscope are not needed, the production efficiency is improved, and the potential safety hazard is reduced.

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 relates to an immune humanized liver cancer patient-sourced xenotransplantation mouse model and a construction method and application thereof, and belongs to the technical field of medical research and biologication.The immune humanized liver cancer PDX model is innovatively constructed by optimizing transplantation of tumor tissues and introducing and screening immune cells, and the model has the advantages of being high in specificity, high in sensitivity and high in reliability. The defects of a traditional PDX model in immune system and immunotherapy evaluation are overcome. The model has tumor characteristics of liver cancer patients and a functional human immune system, has reliable immune response and anti-cancer treatment evaluation capability, and provides scientific and reliable model support for research and screening of novel liver cancer immunotherapy.

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.

Aspects of the present disclosure include methods for determining baseline noise of a photodetector (e.g., in a light detection system of a particle analyzer). Methods according to certain embodiments include irradiating a sample having particles in a flow stream, detecting light with the photodetector from the irradiated flow stream, generating data signals from the detected light and calculating a moving average mean squared error of the generated data signals to determine the baseline of the photodetector. Systems (e.g., particle analyzers) having a light source and a light detection system that includes a photodetector for practicing the subject methods are also described. Integrated circuits and non-transitory computer readable storage medium are also provided.

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.