49results about "Particle and sedimentation analysis" patented technology

The invention discloses a vector flow velocity measuring device and method based on a bidirectional scanning spectral domain optical coherence tomography technology. Comprising a super light-emitting diode light source, an optical fiber coupler, a polarization controller, an interferometer comprising a sample arm and a reference arm, and a collimating lens, the collimating lens, the grating, the focusing lens group and the linear array camera are sequentially connected through a light path; the linear array camera, the computer and the two-dimensional galvanometer are sequentially connected through a line; according to the method, the fixed bias vector velocity is introduced by utilizing the bidirectional scanning technology, the dynamic light scattering optical coherence tomography method and the Doppler optical coherence tomography method are combined, decoupling of each parameter of the vector flow velocity is efficiently and accurately realized, and a quantitative index is provided for vector flow velocity analysis. The vector flow velocity measuring device based on the bidirectional scanning spectral domain optical coherence tomography technology is simple in system setting and low in cost, the time resolution is improved by about 2.5 times, and the measuring time is shorter.

System for recording data on allergic reactions of a vehicle occupant, comprising a recording and / or storage device (5, 30) by means of which pollen in the area of ​​the vehicle (1) can be recorded and / or stored, wherein the recording and / or storage device (5, 30) has an electrically controllable pollen inlet (34) with which the pollen recording can be controlled.

The invention relates to an experimental device for coupling optical acting force and suspension liquid optical nonlinear measurement, which comprises a laser control module and a microscopic imaging module, and the laser control module and the microscopic imaging module are respectively arranged in two orthogonal directions of a suspension liquid; the suspension liquid is placed in a transparent sample pool; the laser control module comprises a laser, a beam expander, a focusing lens, an imaging lens and a light beam analyzer which are arranged in sequence; the sample cell is positioned between the focusing lens and the imaging lens; the microscopic imaging module comprises a light source, a lighting lens, an imaging lens and an imaging camera which are arranged in sequence; the sample cell is located between the illumination lens and the imaging lens. Compared with the prior art, the device is provided with the laser control module, so that backward acting force for inducing particles in the suspension can be formed, and meanwhile, the focusing nonlinear effect in the suspension can be researched; and the microscopic imaging module can record moving images of particles in the suspension for subsequent analysis.

An analyte detection assembly (1) comprising a housing chamber (2), a separation device (3) housed within the housing chamber (2) and a collection screen (4) also housed within the housing chamber (2). The separation device (3) comprises: (a) a plurality of circular filters (5) which in use are arranged together in coaxial positions along a vertically disposed X axis; and (b) a cylindrical side wall (6) within which the plurality of circular filters (5) are housed and on which is provided at least one openable window (8) which is disposed at one or more of the circular filters (5). Each circular filter (5) has a lower filtration capacity than the circular filter located below it and the circular filters (5) are adapted to rotate about the X axis. The collection screen (4) comprises a collection surface (9) facing the plurality of windows.

Aspects of the present disclosure include methods for determining positional velocity of a particle in a flow stream of a particle analyzer. Methods according to certain embodiments include irradiating a sample having a particle in a flow stream of a particle analyzer with a first laser in a first interrogation region and a second laser in a second interrogation region, detecting light from the irradiated particle by a first photodetector channel in the first interrogation region and by a second photodetector channel in the second interrogation region, calculating a velocity of the particle in the flow stream based on the light detected by the first photodetector and by the second photodetector, determining a parameter of the particle in the flow stream and calculating a positional velocity of the particle in the flow stream based on the calculated velocity and the parameter of the particle. Systems and non-transitory computer-readable storage media configured to carry out the subject methods are also provided.

A method, comprising: determining electrophoretic mobility associated with a particle in a transverse alternating force microfluidic channel; determining a size of the particle based at least in part on one of Brownian motion of a particle or one or more images of the particle. A system comprising: a microfluidic channel; a plurality of electrodes oriented transverse to the microfluidic channel, the plurality of electrodes comprising an alternating electric field; and a classification system configured to: determine one or more of the following: an electrophoretic mobility associated with a particle in the transverse AC microfluidic channel and / or determine, based at least in part on the electrophoretic motion, and size from image analysis or Brownian motion of a particle or one or more images of the particle, particle shape, particle deformability, for recognition of surface characteristics, such as assaying for receptors and ligands, and to perform electroporation.

To provide a method for determining the positional velocity of particles in a flow stream of a particle analyzer.SOLUTION: Illuminating a sample having particles in a flow stream of a particle analyzer with a first laser of a first interrogation area and a second laser of a second interrogation area, detecting light from the illuminated particles with a first photodetector channel of the first interrogation area and a second photodetector channel of the second interrogation area, calculating a velocity of the particles in the flow stream based on the light detected by the first photodetector and the second photodetector, and determining a parameter of the particles in the flow stream; Based on the calculated velocities and parameters of the particles, the positional velocities of the particles in the flow stream are calculated.SELECTED DRAWING: None

A search device (10) updates positions and momentums of a plurality of virtual particles, for each unit time from an initial time to an end time. The search device (10), for each unit time, calculates, for each of the particles, a position at a target time of a corresponding particle, calculates, for each of a plurality of nodes, a first accumulative value by cumulatively adding positions at the target time of two or more particles corresponding to outgoing two or more directed edges, calculates, for each of the nodes, a second accumulative value by cumulatively adding positions at the target time of two or more particles corresponding to incoming two or more directed edges, and calculates, for each of the particles, a momentum at the target time of a corresponding particle based on the first accumulative value and the second accumulative value.

The invention belongs to the technical field of powder pneumatic conveying, and particularly relates to a method and device for measuring the powder particle picking speed. According to the method, to-be-detected material powder flatly laid on a tray of a mass sensor is placed in a rectangular air pipe, fully developed turbulent airflow in the pipe is created, the air speed in the air pipe is gradually increased, sampling and particle size analysis are triggered according to the change of the weight loss rate of the mass sensor, and the particle size of the to-be-detected material powder is measured. Therefore, the picking speed corresponding to the powder particles with different particle sizes of the material is obtained. According to the invention, the turbulent flow which is completely developed in the pipe is created, and'zero-returning of the weight loss rate 'is taken as a unique triggering condition for sampling, so that the powder particle size interval corresponding to each sampling is accurately determined by the current wind speed, and a reliable and accurate corresponding relation between the wind speed and the particle size is established; and errors caused by manual judgment in a traditional method are overcome.

Disclosed are a method of predicting a fine dust concentration and inferring a fine dust source by using local public data and a prediction and inference device. The method of predicting a fine dust concentration and inferring a fine dust source by using local public data includes generating time-series data related to fine dust by collecting public data in a specific region in a predetermined chronological order and determining whether fine dust is generated in the specific region by converting pieces of time-series data collected in consecutive times into an image dataset for training and by training the image dataset for training in a convolution neural network (CNN)-based image classification model.

The invention relates to an anti-nuclide durability evaluation method for a coating special for nuclear power. The method comprises the following steps: carrying out experimental evaluation on contamination resistance of the coating; carrying out experimental evaluation on the anti-aging performance of the coating in the simulated nuclear power environment; carrying out experimental evaluation on the adhesive force between the coating and the matrix concrete; carrying out experimental evaluation on the nuclide penetration resistance of the coating, and measuring the invasion depth of nuclide in the coating; and based on the experimental evaluation results, establishing a comprehensive evaluation index system, distributing weights according to importance, and comprehensively scoring the durability of the coating. According to the method, the multi-dimensional performance data is acquired, the comprehensive evaluation index system is established based on the evaluation result, the weight is distributed according to the importance, and the durability of the coating is comprehensively scored, so that comprehensive and quantitative evaluation of the anti-nuclide durability of the coating is realized, the defect that the optimal coating cannot be scientifically compared and selected due to the lack of an evaluation method is overcome, and the reliability of the anti-nuclide durability of the coating is improved. The efficiency and the safety of the decontamination work in the decommissioning stage of the nuclear power station are effectively improved.

The present invention relates to the field of food science. In particular, the present invention provides a method for predicting at least one processing property of a ground cereal product, e.g. a wheat flour, comprising steps of separating the ground cereal product into at least two distinct fractions, analysing at least one of these fractions by spectroscopy, and on the basis of the analysis, predicting the at least one processing property of interest of the ground cereal product using a mathematical model. The at least one processing property of interest may be a baking property or a rheological property of dough prepared from the ground cereal product. The present invention further provides a portable device for the preparation and spectroscopic analysis of grain samples suitable for performing the prediction method of the invention, and a software product.

This invention belongs to the field of high-concentration pulverized coal air-powder concentration measurement technology, and discloses an online pulverized coal air-powder measurement system suitable for high-concentration pulverized coal. This invention employs a dual-channel pulverized coal concentration measurement method using both capacitance and acoustic methods. Based on the measurement results, it identifies anomalies and outputs a comprehensive pulverized coal concentration. The two methods are cross-validated, and anomalies are identified by comparing deviations in the measurement results, avoiding errors from a single method. Combining the advantages of both methods improves measurement accuracy and enhances the system's anti-interference capability and long-term operational stability. This invention also incorporates a dynamic cleaning mechanism for the surface material adhering to the device. A CCD imaging device monitors the thickness of the material adhering to the surface of the capacitance sensor and ultrasonic detection device in real time. The cleaning operation is dynamically executed based on the average material adhering thickness and the percentage of monitoring points exceeding the threshold. This reduces measurement errors, ensures long-term stable operation of the equipment, and improves system reliability.

Automated digital microscope system for testing a biological sample, the system comprising a housing (4), a slide slot (11) configured to receive and hold a slide (21) containing a biological sample (22), an illumination device (12) arranged on a first side (SI) of the slide slot (11), an image sensor (13) arranged on a second side (S2) of the slide slot (11) opposite to and coaxially with the illumination device (12), a focusing and magnification unit (14) placed at a linear distance from the image sensor (13) on the second side (S2) of the slide slot (11), the focusing and magnification unit (14) comprising an objective lens (141) providing optical magnification and placed coaxially with the illumination device (12) and / or image sensor (13) and a focusing actuator(142) configured to move the objective lens (141). The slide slot (11), the illumination device (12), the image sensor (13) and the focusing and magnification unit (14) are arranged within the housing (4). A processing unit is configured to receive one or more images obtained by the image sensor (13), processing the one or more images, and based on the processing of the one or more images determine a focus distance between the objective lens (141) and the biological sample (22) wherein a focused image of the biological sample (22) is produced on the image sensor (13), and a drive unit is configured to control the focusing actuator (142) to move the objective lens (141) towards or away from the biological sample (22) such that a distance between the objective lens (141) and the biological sample (22) equals the determined focus distance.

According to embodiments of the present invention, an optical sensor is provided. The optical sensor includes a single piece of optical fiber including a modified fiber tip and a distal end opposite to the modified fiber tip. The distal end may be configured to optically communicate with an external light source and an external detector. The modified fiber tip may be configured to be positioned within a turbid medium to deliver light from the external light source to particles in the turbid medium, at least minimize the light being back reflected at the modified fiber tip and receive backscattered light from the particles for determining a real-time fluid property of the particles in the turbid medium by the external detector. According to further embodiments of the present invention, an optical apparatus, an optical arrangement, and a method for determining a real-time fluid property of the particles are also provided.

An apparatus and method of using said apparatus for detecting a matter and microorganisms, the apparatus comprising: at least one sample reservoir having a sample inlet and a sample outlet for holding a sample comprising liquid, matter, and microorganisms; at least one liquid tube connected to a sample outlet of the sample reservoir, wherein the liquid tube comprises a plurality of microscope slides embedded therein, a plurality of image enlargement device located above or below the microscope slide, and a light source for emitting the sample on the plurality of microscope slides; and a control unit having computer software and algorithm programs that manage the operation of the apparatus and identify and classify the sample, wherein the control unit is in electric communication with the at least one sample reservoir and the at least one liquid tube.

The present disclosure describes an apparatus for measuring electrophoretic mobility. In one embodiment, the apparatus comprises: a laser; a fiber optic splitter optically coupled to the laser; the polarization maintaining acousto-optic modulator is optically coupled to the sample arm output end of the splitter; the sample cell is used for containing a sample and is optically coupled to the output end of the acousto-optic modulator; a polarization maintaining combiner optically coupled to the reference arm output of the splitter and to the output of the sample cell; a photodetector for detecting the light output from the combiner; the radio frequency source is electrically coupled to the input end of the acousto-optic modulator; and a demodulator electrically coupled to the output of the photodetector and to the output of the radio frequency source to output in-phase data and quadrature-phase data of a frequency offset to be analyzed to measure electrophoretic mobility in the sample.

Disclosed herein is a copper-based dust analysis system according to the present disclosure, the copper-based dust analysis system comprising: a digital microscope configured to generate respective images of a sample and a reference sample, and to convert the images into digitized image signals; and a central processing device configured to process the digitized image signal transmitted from the digital microscope to generate image data, and detect copper-based dust in the image data of the sample based on reference data including image information of the copper-based dust, the central processing device is configured to perform color correction processing on the image of the sample and the image of the reference sample, respectively, to distinguish the copper-based dust from other materials based on colors.

The present disclosure describes a method, system, and computer program product including a process in which measurement data collected by an instrument is adaptively collected until a desired relative or absolute accuracy is achieved.

The invention relates to a device for characterizing a powder, comprising: - a powder container configured to hold a representative powder sample of powder remaining after an additive manufacturing operation by a powder bed fusion process; - an eddy current transmitter / receiver configured to emit electromagnetic signals in a predefined range of operating frequencies near the surface of the powder sample contained in said container; and - a data acquisition and control system configured to measure, for each operating frequency, impedance values ​​across a receiving coil of the eddy current transmitter / receiver; and to evaluate the quality of the remaining powder based on the impedance values ​​measured for the powder sample. Figure 3

The present invention relates to a method for determining at least one specific piece of information relating to a bulk material. The invention further relates to a method for generating a data record including at least one piece of information relating to a bulk material, a method for obtaining a piece of information relating to a bulk material and a database, devices and computer-implemented data structures.

A fine dust measurement system includes a video photographing device that photographs a target place, generates a converted image or converted data by converting all or a portion of the photographed image and transmits the converted image or converted data, and a fine dust measurement that receives the converted image or converted data from the video photographing device, and trains a deep learning model to output a fine dust concentration of the target place by inputting the received converted image or converted data into the deep learning model.

A dust sensor includes a photo detector configured to detect light scattered from dust; and a signal processing circuit having a high-pass filter receiving an electric signal generated from output of the photo detector. The signal processing circuit generates a dust detection signal using a signal provided to the high-pass filter as well as a signal output from the high-pass filter.

To provide a method for determining the positional velocity of particles in a flow stream of a particle analyzer.SOLUTION: Illuminating a sample having particles in a flow stream of a particle analyzer with a first laser of a first interrogation area and a second laser of a second interrogation area, detecting light from the illuminated particles with a first photodetector channel of the first interrogation area and a second photodetector channel of the second interrogation area, calculating a velocity of the particles in the flow stream based on the light detected by the first photodetector and the second photodetector, and determining a parameter of the particles in the flow stream; Based on the calculated velocities and parameters of the particles, the positional velocities of the particles in the flow stream are calculated.SELECTED DRAWING: None

Aspects of the present disclosure include methods for determining a positional velocity of particles in a flow stream of a particle analyzer. A method according to certain embodiments includes irradiating a sample having particles in a flow stream of a particle analyzer with a first laser in a first probing region and with a second laser in a second probing region; detecting light from the irradiated particles through a first photodetector channel in the first detection region and through a second photodetector channel in the second detection region; calculating a velocity of the particles in the flow stream based on light detected by the first photodetector and by the second photodetector; determining a parameter of the particles in the flow stream; and calculating a positional velocity of the particles in the flow stream based on the parameter of the particles and the calculated velocity. Systems and non-transitory computer-readable storage media configured to perform the subject methods are also provided.

An AI-based high-precision bacteria analysis device of the present invention comprises: a sampling module for capturing airborne bacteria onto a culture medium by using a built-in impactor; a culture-photographing module for accommodating the culture medium, culturing the bacteria according to a predetermined temperature and time, and generating image data by photographing the cultured bacteria; a transfer module for transferring the culture medium between the sampling module and the culture-photographing module; and an analysis module for analyzing the image data through an AI model to measure the airborne bacteria.

With respect to some embodiments, described herein is an apparatus for the growth and detection of particles suspended in a gas stream, using a working condensation fluid that has a Lewis number greater or less than unity. The apparatus can include a saturation chamber and a condensation chamber and can produce particle growth by way of a system which offers bidirectional temperature control of both chambers. The apparatus can include a detection system of particles in a detection chamber. A test fluid carrying the particles can pass through the detection chamber and be separated from the detection system with a barrier fluid that is also passing through the detection chamber.

The invention discloses a dust inspection device, comprising a light emitting module which emits light to advance towards a light emitting direction; the light-emitting module is arranged on the frame body, light rays form a light net in a space enclosed by the frame body and the light-emitting module, and dust passing through the light net reflects the light rays to eyes of a user, so that the user detects dust in an environment by utilizing the dust detection device, and real-time detection of the dust is achieved.

Provided is an inspection device that can detect foreign matter and fine particle aggregates, and can accurately detect the degree of proliferation of fine particles. An inspection device 500 for aggregates comprises an image acquisition unit 11 that acquires an image of the inside of a container 511 holding a liquid containing fine particles, and detects the presence or absence of a fine particle aggregate. The inspection device 500 comprises: a foreign matter presence / absence determination unit 24 that binarizes an image, creates a first binarized image, and determines the presence or absence of foreign matter; a fine particle region detection unit 25 that extracts contours of the image to produce a contour-extracted image, binarizes a composite image of the extracted contour-extracted image and the image, creates a second binarized image, and detects a fine particle region; an integrated signal difference processing unit 16 that calculates the difference value between a first integrated signal, which was obtained by integrating the first binarized image, and a second integrated signal, which was obtained by integrating the second binarized image; and an aggregation presence / absence determination unit 17 that determines the presence or absence of aggregates by numerically analyzing the difference waveform of the difference value. The inspection device detects the presence or absence of at least two different types of objects contained in the image.