21 results about "Particle sorting" patented technology

The present disclosure generally relates to particle manipulation and separation technologies, and more particularly relates to a method and a system for sorting particles Further, the method may include receiving, by a particle sorting system (100), a quantity of fluid includes particles with motility. Further, the method may include generating, by a rotating magnetic field using coils. Furthermore, the method may include disposing a cuvette. The cuvette may include suspension of the particles in deionized water vertically within the region of the decreasing rotating magnetic field strength, with a highest field strength at the bottom of the cuvette. Further, the method may include applying the rotating magnetic field at a fixed frequency to actuate the particles. Further, method may include maintaining the actuation until the particles reach respective equilibrium positions. Further, the method may include sorting the suspension into samples by extracting portions at heights within the cuvette.

This application discloses a two-stage virtual impactor for sorting submicron particles, belonging to the field of aerosol separation. The virtual impactor includes a housing and a first-stage and a second-stage virtual impactor disposed within the housing. Both the first-stage and second-stage virtual impactors are arranged parallel to each other along the length of the housing. A deflection channel is also provided within the housing. One outlet of the first-stage virtual impactor is connected to the inlet of the second-stage virtual impactor through the deflection channel. This virtual impactor, through staged processing, optimizes design parameters for each stage within a specific particle size range, resulting in a more uniform particle group and reducing the probability of non-target impacts on the wall due to mixing. This design systematically reduces particle losses caused by inertial impaction, turbulent entrainment, and other mechanisms, enabling it to better adapt to low-concentration, high-precision particle separation, significantly improving separation efficiency and data reliability.

A particle sorting apparatus includes a determination unit that performs sorting determination of a particle, the determination unit performing the determination using rule data that defines relationships between particles in terms of particle populations to which the particles belong and particle populations to which different particles within a predetermined range around the particle belong, the particle population to which the particle that is a target of the sorting determination and the different particle within the predetermined range can belong including (a) a particle population of particles to be sorted, (b) a particle population of particles that are not sorted but are ignorable in the determination, and (c) a particle population of particles that are neither the particles to be sorted nor the ignorable particles, the ignorable particles including red blood cells.

A particle sorter that sorts particles carried by a fluid flow. The particle sorter comprises a particle detection system for detecting particles in a fluid flow, a particle deflection system for selectively deflecting particles from the fluid flow to sort them, an optical imaging system positioned to acquire images of particles in the fluid flow to identify particles at different locations in the fluid flow, an illumination source for selectively illuminating the fluid flow when acquiring images of particles, and an electronic control system. The particle sorter is configured such that, when the particle detection system outputs a signal for a detection event, the electronic control system controls the imaging system and the illumination source to acquire one or more images of particles in the fluid flow within one or more time delays from the detection event, and the electronic control system processes one or more images and the time delays of one or more time delays to determine one or more parameters for the sorting process.

The application relates to a plastic particle sorting method and system, and relates to the field of plastic particle sorting, which comprises the following steps: collecting spectrum information; determining impurity positions from the spectrum information; collecting impurity images based on the impurity positions; determining impurity contours from the impurity images and determining impurity materials from the spectrum information based on the impurity positions; determining an ejection position according to the impurity materials, determining an impurity volume according to the impurity contours; determining an ejection distance by comparing the ejection position and the impurity positions, and determining an impurity weight by combining the impurity volume and the impurity materials; determining a sorting wind force by combining the ejection distance and the impurity weight, and determining a sorting angle according to the impurity positions; and generating and sending impurity sorting instructions in response to the sorting wind force and the sorting angle. The application has the advantages of improving the accuracy of plastic particle sorting and accurately controlling the effect of a nozzle according to the shapes of different particles.

The utility model relates to a kind of broken particle sorting devices for aluminium scrap recycling, including shell and sorting assembly being installed in the inside of shell, the sorting assembly includes magnetic cylinder, distributing plate and screw rod, the fixed plate of two is fixedly installed in the side inner wall of shell, the magnetic cylinder is rotatably installed between two fixed plates, the fixed plate is fixedly installed in the side edge of fixed plate, the outer wall of magnetic cylinder is equipped with multiple annular grooves, the outer wall of distributing plate is penetrated with notch, the notch of distributing plate is fixedly installed with multiple embedded rods, the embedded rod is embedded in annular groove inside, the bottom surface of shell is equipped with discharge chute, the screw rod is rotatably installed above discharge chute, the iron filings adsorbed on magnetic cylinder can be scraped by the notch edge of distributing plate, but due to the existence of magnetic force, iron filings is still adsorbed on distributing plate, magnetic cylinder can always keep surface flat, and constantly quickly adsorb iron filings.

The present application relates to a kind of for lunar soil particle screening Particle Intelligent Recognition Method, comprising the following steps: obtaining the optical signal, image data and surface electric signal of the same lunar soil sample particle, constitute the multimodal feature set of each lunar soil sample particle;The multimodal feature set is standardized;Based on CNN+MLP+splicing fusion module structure, construct multimodal deep learning neural network model;Multimodal deep learning neural network model is supervised learning training, and the trained multimodal deep learning neural network model is obtained;The data after standardization processing are input into the trained multimodal deep learning neural network model, and particle classification is realized.The present application adopts intelligent recognition integrated deep learning model, utilizes intelligent algorithm to carry out the shape distinction, component identification, particle size sorting and other functions of particle, can realize automatic classification, clustering and attribute prediction, without artificial marking one by one, effectively improve work efficiency.

The image-based classification workflow uses unsupervised clustering to help users identify subpopulations of interest for sorting. Labeled cell images are used to fine-tune a supervised classification network for specific experiments. The workflow allows users to select populations for sorting in the same way for various applications. The supervised classification network is very fast, allowing it to make real-time sorting decisions as cells travel through the device. The workflow is more automated and has fewer user steps, thus improving ease of use. The workflow uses machine learning to avoid human error and biases from manual gating. The workflow does not require users to be image processing experts, thus increasing ease of use.

The present application relates to a kind of environmental monitoring devices with particle collection function, belong to environmental monitoring technical field.It includes ontology, the middle of ontology is provided with collection box, the collection box top is provided with ventilation duct, the collection box bottom is fixedly connected with supporting leg, the ventilation duct inside is provided with particulate matter concentration monitoring assembly, the collection box inside is provided with three different aperture filter plate, three the fan of filter plate bottom is installed, the filter plate both sides are provided with mobile collection assembly, the mobile collection assembly is provided with sealing protection assembly, the upper surface of each mobile collection assembly is provided with cleaning assembly.The present application is integrated particulate matter concentration monitoring, hierarchical collection, sealing protection and cleaning regeneration multifunction module, constructs integrated environmental monitoring device, solves the problem of traditional monitoring device function single, particle classification precision is low, easy to block and high maintenance cost, greatly improves the practicability and long-acting property of device.

The purpose of this disclosure is to meet the needs described in the specification. For example, one object of this disclosure is to provide a technique that enables the simultaneous acquisition of two specific types of sorted products from a single sample. This disclosure provides a biological particle sorting apparatus, comprising: a determining unit for performing particle sorting determination on particles contained in a biological sample, such that particles to be sorted and particles not to be sorted but permitted to be sorted are sorted into a first containment space; and a display unit for displaying information relating to the purity of the particles to be sorted contained in the first containment space. This disclosure also provides a biological particle sorting method, comprising: performing particle sorting determination on particles contained in a biological sample, such that particles to be sorted and particles not to be sorted but permitted to be sorted are sorted into a first containment space; and displaying information relating to the purity of the particles to be sorted contained in the first containment space.

The present application relates to the technical field of micro-nanoparticle separation, and in particular to a particle sorting micro device, system and method based on a periodic wave design. The present application provides a particle sorting micro device based on a periodic wave design, comprising: a substrate, a first excitation electrode, a second excitation electrode, a cover, and a bipolar electrode. The particle sorting micro device designed by the present application is different from the traditional direct current channel, and a special-shaped micro channel structure is designed, and the periodic wave is used to achieve the pre-focusing effect on mixed particles. The present application realizes the separation of particles in the micro channel by applying excitation signals to the two excitation electrodes. The present application solves the problems of complex operation, high cost and low integration degree of the existing particle separation device using a single dielectrophoresis principle.

The present invention provides a technique capable of generating a desired emulsion with high efficiency and high purity.　The present invention provides a particle sorting method and the like comprising: a flow step for causing a liquid containing first particles and second particles to flow through a flow path; a first detection step for detecting a plurality of particles flowing in the flow path; an identification step for identifying whether or not the plurality of detected particles are the first particles and the second particles; a calculation step for calculating a time interval between the first particles and the second particles flowing through the flow path; a determination step for determining whether or not to sort the first particles and the second particles according to the time interval; and a sorting step for sorting the first particles and the second particles into an emulsion if it is determined that the particles are to be sorted.

A method of evaluating performance of a flow cytometer configured to use two or more kinds of calibration particles having different morphologies in combination, the method including: a first sorting step in which the flow cytometer as an evaluation target sorts the calibration particles from each other based on a first optical property; a second sorting step of sorting the calibration particles from each other based on a second optical property that is sortable at a spatial resolution lower than a spatial resolution at which the first optical property is sortable; and an evaluation step of evaluating one or both of particle sorting performance and resolution of the flow cytometer based on a first sorting result evaluated in the first sorting step and a second sorting result evaluated in the second sorting step.

The utility model relates to a kind of granule sorting devices for metal detection separation equipment, including blanking tube and sorting assembly being installed on blanking tube, the outer wall of one side of blanking tube is equipped with discharge pipe, the sorting assembly includes baffle, movable plate and two mounting plates, the outer wall of one side of blanking tube is equipped with through groove, two The mounting plate is symmetrically arranged at the two sides of through groove, two The mounting plate is movably installed on the outer wall of blanking tube, the baffle is movably installed on the side of blanking tube away from through groove, the top edge of baffle is rotatably connected with the outer wall of blanking tube, movable plate is rotatably installed between two The mounting plate, one end of movable plate is installed in the through groove inside of blanking tube, using baffle and movable plate provide guidance to the flow of metal particles, instead of fan blowing, to achieve accurate sorting, while, plastic particles waste can be reduced.

The application discloses a double sorting device for the particle size and shape of coral sand particles, which comprises multiple sorting systems, sorting system fixing supports and a screening machine, the sorting system comprises a particle size sorting system, a flaky particle sorting system and a blocky and rod-shaped particle sorting system connected in sequence from top to bottom, is compatible with an existing standard inspection screening machine, has a simple structure, does not need to introduce complex mechanical equipment on the basis of reserving the traditional particle size sorting function, and significantly reduces the equipment modification cost when the screening mesh is ordered as required; and the application further discloses a double screening method for the particle size and shape of coral sand particles, the device can simultaneously screen sample particles in multiple different target particle size ranges, and can respectively perform shape screening on the sample particles in different target particle size ranges, such as flaky, blocky and rod-shaped shape screening, and through optimized screening parameters, the "leakage screening" and "mixed screening" phenomena are effectively avoided.

The application discloses a particle sorting chip and method based on chromatography and DLD cooperative work, and belongs to the field of micro-nano fluidic chips and biological particle sorting. The chip comprises a chip substrate, an inlet convergence area, a separation channel and an outlet separation area; the separation channel is provided with a periodically staggered micro-pillar array, and the surface of the micro-pillar array is provided with a functional modification layer. The application combines the size sorting principle of DLD with the chromatography separation principle based on surface interaction, breaks the flow field symmetry through the periodically staggered micro-pillar array (offset of adjacent columns) of DLD, realizes size-dependent particle separation, and makes the target particles and the columns produce selective interaction through the functional modification layer on the surface of the columns, so as to regulate the transverse deflection angle / migration speed of the target particles. The application breaks through the limitation of traditional DLD technology which only depends on size difference through the dual sorting dimensions of size screening and surface interaction, can efficiently separate biological particles with similar sizes but different physical and chemical properties, and significantly improves the separation purity and resolution.

The present application provides a kind of viscoelastic microfluidic particle sorting parameter optimization method and system, including the theoretical calculation for obtaining the theoretical results of various diameter particles in the transverse equilibrium position and the required channel length to reach equilibrium in straight channel section under different sheath liquid polyethylene oxide concentration, sample PEO concentration, total flow, sheath liquid and sample flow ratio.Utilize random forest machine learning algorithm to train the theoretical results, judge whether the particle can completely penetrate the sample-sheath liquid interface under each working condition parameter combination and predict the transverse equilibrium position of the particle and the required channel length to reach equilibrium.Determine the optimal sorting parameter of viscoelastic microfluidic.The present application can realize the design optimization of viscoelastic microfluidic chip from experience dependence to data-driven based on machine learning, and can significantly improve the scalability of viscoelastic microfluidic technology in different research fields by simplifying the working condition parameter iteration process.