404 results about "Sorted Cells" patented technology

The present disclosure relates to systems, devices, and methods for automated cell sorting within a cell processing system. In an embodiment, the present disclosure relates to an automated cell sorting system comprising a cartridge having a cell sorting module, where the cell sorting module comprises a flow cell, and an instrument within a bay of a cell processing workcell, where the instrument comprises a magnetic array couplable to the flow cell, each of the magnets within the magnetic array having a width of w and being spaced apart by between about w / 3 to about 3 / 4w, and wherein the flow cell has a height of between about 1 / 12w to about 1 / 8w.

The present disclosure relates to systems, devices, and methods for automated cell sorting within a cell processing system. In an embodiment, the present disclosure relates to an automated cell sorting system comprising a cartridge having a cell sorting module, where the cell sorting module comprises a flow cell, and an instrument within a bay of a cell processing workcell, where the instrument comprises a magnetic array couplable to the flow cell, each of the magnets within the magnetic array having a width of w and being spaced apart by between about w / 3 to about ¾w, and wherein the flow cell has a height of between about 1 / 12w to about ⅛w.

The present disclosure relates to systems, devices, and methods for automated cell sorting within a cell processing system. In an embodiment, the present disclosure relates to an automated cell sorting system comprising a cartridge having a cell sorting module, where the cell sorting module comprises a flow cell, and an instrument within a bay of a cell processing workcell, where the instrument comprises a magnetic array couplable to the flow cell, each of the magnets within the magnetic array having a width of w and being spaced apart by between about w / 3 to about 3 / 4w, and wherein the flow cell has a height of between about 1 / 12w to about 1 / 8w.

The invention provides a microfluidic sorting system and method, and relates to the technical field of particle sorting, and the microfluidic sorting system comprises a microfluidic sorting chip, a liquid driving device, an image acquisition device and a controller. According to the microfluidic sorting system and method provided by the invention, the required target particles can be sorted from the to-be-sorted particles on the basis of an image acquisition device and a deep learning technology under the condition that the to-be-sorted particles do not need to be subjected to fluorescent staining, so that the influence and damage to the to-be-sorted particles due to fluorescent staining can be reduced, and the sorting efficiency is improved. According to the method, the accuracy and credibility of subsequent experiments can be improved, the investment cost required by cell sorting can be remarkably reduced, multi-dimensional information such as cell size, roundness, edge characteristics and morphological characteristics can be obtained, the multi-dimensional cell sorting requirements can be better met, target particles can be more accurately and efficiently sorted, and the cell sorting efficiency is improved. The multi-dimensional cell sorting requirement can be better met, and flexible sorting and lossless sorting of cells can be achieved.

The present invention relates to a microfluidic multiplexed immunoassay system based on flow magnet-activated cell sorting, and a method thereof. The system comprises a multiplexed immunoassay magnetic bead preparation module, a flow magnet-activated cell sorting microfluidic chip system, an optical detection module, and an image processing module, and achieves ultra-sensitive and rapid multiplexed protein quantitative detection by means of magnetic bead coding based on different magnetic contents and microfluidic chip decoding based on flow magnet-activated cell sorting. The microfluidic multiplexed immunoassay system of the present invention has the advantages of high detection sensitivity, short detection time, high signal-to-noise ratio, convenient and simple operation and low cost, is particularly suitable for multiplexed ultra-sensitive detection for monomolecular proteins, and has a potential economic value.

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 a cell sorting method and device, computer equipment and a storage medium. The method comprises the following steps: positioning cells to be sorted in cell image data through a deep learning model; evaluating the fluorescence signal intensity of the to-be-sorted cells according to the cell image data; and according to the fluorescence signal intensity of the to-be-sorted cells, absorbing cells meeting a preset sorting condition from the to-be-sorted cells. By adopting the method, the cell sorting accuracy can be improved.

The utility model relates to the technical field of cell sorting, and discloses a fluorescence signal enhancement device which comprises a pre-magnetization assembly and a magnet assembly, the pre-magnetization assembly is used for generating a pre-magnetization magnetic field, and magnetic particles in liquid drops are magnetized and agglomerated in the pre-magnetization magnetic field; the magnet assembly is used for generating a first magnetic field, and the magnetic particles agglomerated in the liquid drops are pulled into a linear shape in the first magnetic field. The utility model further discloses a fluorescence signal detection device and a liquid drop observation device.

The invention discloses an inertial micro-fluidic chip integrating cell focusing and sorting and a preparation method thereof. The inertial micro-fluidic chip comprises a cover plate layer, a runner layer and a substrate layer, a chip inlet, a first chip outlet and a second chip outlet are formed in the cover plate layer; the flow channel layer is provided with a sample liquid flow channel inlet, a first flow channel outlet and a second flow channel outlet, the chip inlet is communicated with the sample liquid flow channel inlet, the first chip outlet is communicated with the first flow channel outlet, and the second chip outlet is communicated with the second flow channel outlet. The flow channel layer is provided with a spiral cell sorting flow channel and a cell focusing flow channel, the front end of the spiral cell sorting flow channel is communicated with a sample liquid flow channel inlet, the tail end of the spiral cell sorting flow channel is communicated with the cell focusing flow channel and a first flow channel outlet, and the tail end of the cell focusing flow channel is communicated with a second flow channel outlet. Through a microfluid vortex focusing technology and a spiral flow channel inertia sorting technology, accurate sorting and focusing of cells are realized, and the problems that the focusing state of the sorted cells is influenced and the cell counting detection precision is low are effectively solved.

Disclosed is a computer-implemented method for real-time classification of cells in a body tissue that includes capturing one or more images of a cytology slide sample of the body tissue, pre-processing the captured one or more images, detecting and extracting a plurality of regions of interest in the pre-processed images using a cell detection process, wherein each region of interest includes one or more cells or cell clusters of interest, segmenting each individual cell or cluster in the regions of interest and extracting pixel content of each segmented cell or cluster, extracting semantic features from each segmented cell image using an embedding extraction model, classifying each individual cell or cell cluster based on corresponding extracted sematic features, and predicting a class of the cytology slide sample, based on one or more positions and relationships among one or more classified cells, using a slide level decision model.

The utility model provides a microfluidic sorting chip and system, and relates to the technical field of particle sorting, the microfluidic sorting chip comprises a first sample inlet, a second sample inlet, a third sample inlet, a first sample outlet, a second sample outlet, a first flow channel and an annular flow channel; the first sample inlet is formed outside the annular flow channel, and the second sample inlet is formed inside the annular flow channel; two through-flow holes, namely a first through-flow hole and a second through-flow hole, are formed in the annular flow channel; the first through-flow hole is communicated with the first sample inlet, and the second through-flow hole is communicated with the second sample inlet; the first end of the first flow channel is communicated with the second through-flow hole; the second end of the first flow channel is communicated with the third sample inlet, the first sample outlet and the second sample outlet respectively. The micro-fluidic sorting chip and the micro-fluidic sorting system provided by the utility model have the advantages that the cell sorting operation is simple, the manufacturing process is simple, the target particles can be sorted from the cells to be sorted more accurately and efficiently, and the flexible sorting and nondestructive sorting of the cells can be realized.

The invention relates to the field of cell analysis, and provides a multi-mode digital micro-fluidic system and method for cell sorting analysis, the system comprises an active digital micro-fluidic platform, the active digital micro-fluidic platform comprises a micro-fluidic chip, an upper computer control system and an FPGA hardware circuit, an upper computer generates a liquid drop path planning instruction, the FPGA hardware circuit converts the liquid drop path planning instruction into an electrode driving signal, and the electrode driving signal is transmitted to the micro-fluidic chip; the nanoliter-grade liquid drops are driven to change between the electrodes; the optical tweezers platform comprises a laser device, an optical microscope and a CMOS camera, laser beams are generated by the laser device to form a three-dimensional optical potential well, the laser beams are transmitted into the micro-fluidic chip through the optical microscope to realize non-contact control on cells, and the CMOS camera records images and transmits the images back to the upper computer; the objective table clamp is used for realizing cooperative control of the optical tweezers and the active digital microfluidics; and the image recognition system is used for recognizing morphological characteristics of cells in the liquid drops based on a convolutional neural network and screening target cells. According to the invention, integration of high-throughput nondestructive cell sorting and in-situ multi-modal analysis is realized.

The invention discloses a liquid flow sample loading pressure control method of a flow cytometry sorter, which belongs to the field of cell sorting, and is characterized in that a liquid flow sample loading system of the flow cytometry sorter is built, a gas supply gas path is connected with a sample flow path and a sheath liquid flow path, and the sample flow path and the sheath liquid flow path are communicated with a dropping liquid generation flow path; the sample flow path is provided with a first electric proportional valve, the first electric proportional valve is used for adjusting the air pressure in the sample tube, the sheath fluid flow path is provided with a second electric proportional valve, and the second electric proportional valve is used for adjusting the air pressure in the sheath fluid barrel; according to the Bernoulli's theorem in fluid mechanics, as # imgabs0 reflects a pressure difference corresponding to a sample loading flow, an input and output pressure difference is adopted to replace the pressure difference corresponding to the sample loading flow to obtain a theoretical value of a first electric proportional valve, and an incremental digital PID control algorithm is adopted to control to obtain kth and (k-1) th pressure output values of a PID controller; therefore, the control precision of the sample loading flow is improved.

The present invention provides a real-time flow cytometric analyzer of single-cell dynamics combining droplet microfluidics and multimodal optical microscopy, and belongs to the field of cell biology experimental devices. The analyzer comprises a cell / signal loading & acquisition and control system, a high-throughput microfluidic single-cell manipulation chip, a multi-channel optical microscopy and multimodal signal acquisition and control system, and a data processing and analysis system. Based on droplet-based microfluidic chip technology, multimodal optical microscopy technology, single-cell dynamics theoretical modeling and analysis methods, and artificial intelligence technology, the integrated detection of spatiotemporal information of single-cell dynamics can be realized. The analyzer provides a new rapid and accurate single-cell dynamics analysis platform for exploring the occurrence and development mechanism of major human diseases, disease diagnosis, cell sorting and drug screening, etc.

The invention discloses a method for high-purity sorting and capturing of rare cells. According to the method for high-purity sorting and capturing of the rare cells, the cells are spread firstly, then the positions of the target cells are searched and determined, then a probe is used for discharging a buffer solution outwards to blow away non-target cells around the target cells, and then fluid power is used for capturing the target cells without damage. Finally, the target cells can be released into a receiving container, and high-purity sorting and capturing of the rare cells are achieved. A device matched with the method is simple in structure and easy to operate, and the method has the advantages that repeated and massive dilution is not needed, the cell sample spreading speed is high, the target cell sorting purity is high, the omission rate is low, in-situ capture is achieved, and repeatability is good. The method is suitable for the fields of single cell screening and analysis, single cell culture, single cell drug screening, single molecule analysis, gene screening, sample purification, antibody screening, microbiological research and the like.

The invention relates to a cell extraction method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring various cell images of cells to be sorted, and identifying fluorescent dots in each cell image through a deep learning model; determining the fluorescence signal intensity of the fluorescent dots in each cell image; and according to the fluorescence signal intensity of the fluorescent dots in the multiple cell images, absorbing cells meeting a preset sorting condition from the to-be-sorted cells. By adopting the method, the cell extraction accuracy can be improved.

The invention relates to a calibration method and device of a cell selection device, computer equipment and a storage medium. The method comprises the following steps: acquiring image data of a suction and release part in a cell selection device, and determining the definition of the image data of the suction and release part through a calibration program; moving the suction and release part according to the definition through a calibration program to obtain a suction and release part image with the optimal definition; and adjusting the position data of the suction and release part in the suction and release part image through a calibration program until a preset condition is met, and storing the current position data of the suction and release part. By adopting the method, the cell sorting efficiency can be improved.

The invention discloses an NKT cell culture optimization method, and belongs to the technical field of cell culture.The method comprises the steps that firstly, PBMC is sorted through a spiral micro-fluidic chip integrated with CD3 / CD56 double-labeled magnetic beads, and CD3 + CD56 + cells with the purity larger than or equal to 95% are obtained through the synergistic effect of dielectrophoretic force and a magnetic field; then, in a GIBCO culture solution added with the IL-2 / IL-15 / alpha-GalCer sustained release microspheres, the pH, dissolved oxygen and lactic acid concentration are accurately regulated and controlled through a real-time monitoring system, and temperature-oxygen partial pressure gradient culture is adopted; and finally, three times of centrifugation are combined with NKT4 solution treatment, and the cells are collected in cooperation with a gradient cooling procedure, so that the cell activity maintenance rate is greater than or equal to 95%. Compared with the traditional technology, the method has the advantages that the NKT cell sorting purity and activity are remarkably improved, the culture environment is regulated and optimized through dynamic metabolism, and accurate control over the culture process is achieved.

The present disclosure relates to automated systems and methods adapted to quickly and accurately train a neural network to detect and / or classify cells and / or nuclei. The present disclosure also relates to automated systems and methods for using a trained cell detection and classification engine, such as one including a neural network, to classify cells within an unlabeled image.

The invention provides a flow sorter liquid drop delay adjusting method and system based on real-time cell flow velocity, relates to the field of flow sorting, and ensures that the liquid drop delay time can not be delayed even if factors such as temperature, nozzle state, air pressure and pipelines are changed in the sorting process by monitoring the cell flow velocity in real time and dynamically adjusting the liquid drop delay time. And the charge loading time of the liquid drop can be accurately controlled. Meanwhile, the liquid drop delay time is dynamically adjusted in real time, so that the random distribution of the cell flow velocity during high-speed sample loading can be effectively dealt with, and the cells at different positions can be accurately sorted. The automatic calibration and self-stabilization functions are achieved, a large number of experiment articles and a complex optimization process are not needed, accurate control over liquid drop delay can be completed only through real-time monitoring and adjustment on the basis of liquid drop delay initial value setting, the separation efficiency is improved, the experiment cost and the operation difficulty are reduced, and the separation efficiency is improved. And the cell sorting requirements in various biomedical fields are met.

The invention provides an anti-streptavidin antibody which is high in specificity, high in sensitivity, less in cross reaction and small in batch difference. The antibody not only can realize similar application of a streptavidin-biotin system, but also can be used in combination with the streptavidin-biotin system for related applications such as cell sorting, immunochromatography and the like.

The invention relates to the field of microorganisms, in particular to a microorganism single cell sorting, collecting and culturing method. The LIFT single cell separation technology and the Raman spectrum technology are combined, rapid identification and culture of specific microorganism single cells in a complex sample are achieved, cell damage is reduced, and blind single cell sorting is avoided. The method is easy to operate, the pretreatment process is convenient, and industrial application is facilitated; the sterilized pure water is used as a micro-liquid separation medium, the components are simple, the Raman spectrum is simple and uniform, and downstream microorganism Raman identification, separation and culture are facilitated; the method can be used as samples of intestinal microflora for sorting low-oxygen microorganisms such as saliva, excrement, urine, tongue coating and the like; the method can also be applied to samples of complex microbial communities, such as low-oxygen environments of deep sea, soil, sludge and the like, and sorting culture of unculturable microorganisms; the method can also be applied to screening and application of special functional microorganisms in the industrial fields of fermentation, pharmacy and the like; the method has great market application potential in micro-ecological research.

The invention provides a marker of spinal cord functional neural precursor cells, a detection method and a sorting method, and belongs to the technical field of biological medicine. The invention provides application of a marker detection reagent in preparation of a kit for detecting spinal cord functional neural precursor cells. The invention further provides a sorting-based method for separating the SFNPCs cells, and the cells are sorted through the Marker of the specific SFNPCs, so that the cell purity of the SFNPCs is remarkably improved, the difference between batches is reduced, and a high-purity and homogeneous SFNPCs cell population is obtained. The survival rate of the SFNPCs cells separated and subcultured to the P9 generation by the method disclosed by the invention is more than 85%, and the SFNPCs cells have a good treatment effect on a spinal cord injury model.

The embodiment of the invention discloses a magnetic separation chip for cell separation and a preparation method thereof.The magnetic separation chip structurally comprises a sample layer, a functional layer, a clamp set and a magnetic field source, the sample layer is composed of a flow channel layer and a sealing film, and the flow channel layer is provided with a sheath fluid inlet, a sample inlet and a sample outlet; the sealing film is attached to the open surface of the runner layer to seal the runner; the functional layer is located below the sample layer and comprises a patterned substrate and an amorphous alloy soft magnetic strip material, the patterned substrate is provided with a counter bore groove, the amorphous alloy soft magnetic strip material is embedded into the counter bore groove, and the upper surface of the amorphous alloy soft magnetic strip material is flush with the upper surface of the substrate, right faces the sealing film and is arranged in the extending direction of the flow channel; the clamp group comprises an upper clamping plate and a lower clamping plate, the upper clamping plate is arranged above the sample layer, the lower clamping plate is arranged below the functional layer, the upper clamping plate is provided with runner holes corresponding to the inlets and the outlets, and the two are connected through bolts to clamp and fix the sample layer and the functional layer; the magnetic field source is arranged at the end where the sample outlet is located and on one side opposite to the functional layer, so that a gradient magnetic field which is gradually enhanced from the inlet to the outlet is formed in the flow channel.

A secretion analysis and sorting system where cell(s) are deposited into a carrier that will capture any secretions from the cell, and is small enough to be sorted using flow cytometry based cell sorting, is described herein. The use of an image classification workflow that identifies the event types present in a sample of carriers allows the user to select which event types they would like to purify, and then train a supervised classification system that will be used to make real time sort decisions to purify the carriers which contain cells that secrete the desired product. A flow cytometer is then able to be used to screen the individual carriers to see if each one has the desired secreted product.

The invention provides cell culture conditions for culturing stem cells, including feeder-free conditions for generating and culturing human induced pluripotent stem cells (iPSCs). More particularly, the invention provides a culture platform that allows long-term culture of pluripotent cells in a feeder-free environment; reprogramming of cells in a feeder-free environment; single-cell dissociation of pluripotent cells; cell sorting of pluripotent cells; maintenance of an undifferentiated status; improved efficiency of reprogramming; and generation of a naïve pluripotent cell.

The utility model provides a micro-fluidic chip for unmarked or fluorescently marked single cell sorting and a single cell sorting system, which do not adopt means for damaging a sorting target, such as high voltage, strong electric field, high-voltage sheath fluid and the like, and can be used for sorting the unmarked or fluorescently marked single cells on the premise of keeping activity. For unlabeled or labeled (such as fluorescence labeled) cells, bacteria, proteins, viruses, genes (fragments or whole segments), cell clusters and other microorganisms, or liquid drops, liquid segments, bubbles or blocky solids containing the biological particles, high-efficiency, accurate and reliable single-individual detection, control and sorting (especially including but not limited to single-cell sorting) are carried out.

The invention relates to a Raman activated cell sorting system coupled with micro-fluidic and Raman optical tweezers and a method thereof, and relates to the technical field of cell sorting, the system comprises a micro-fluidic chip with low Raman and fluorescence background noise and a pneumatic micro-valve; in the micro-fluidic chip, a sample channel and a micro-cavity are connected with a main channel, and a flow guide channel is connected with the micro-cavity; the flow guide channel and the collecting channel are connected through a pneumatic micro valve. After the pneumatic micro valve is closed, the fluid in the micro cavity is static, and a narrow sample flow is formed in the main channel. And when the Raman collection time is less than the time difference of two adjacent cells flowing through the capturing point of the optical tweezers in the narrow sample flow, high-flux Raman detection can be performed in the narrow sample flow. On the contrary, the target cells can be moved out of the narrow sample flow, and high-precision Raman detection in a long Raman collection scene can be realized. After sorting is completed, fluid flowing of the main channel is stopped, the pneumatic micro valve is opened, the cells stored in the micro cavity are released and collected in a unified mode, the cell suspension volume is more stable and uniform, and follow-up experiment operation is facilitated.

The invention relates to a display method and device for cells in a chip, computer equipment and a storage medium. The method comprises the following steps: when a biological culture chip containing to-be-sorted cells moves to a preset area of a cell sorting device, an objective lens in an imaging mechanism images the to-be-sorted cells in the preset area so as to obtain image data of the to-be-sorted cells; and sending the image data of the to-be-sorted cells to a terminal for display. By adopting the method, the cell sorting accuracy can be improved.

The invention relates to a cell display method and device, computer equipment and a storage medium. The method is applied to a cell sorting device, and the cell sorting device comprises an imaging mechanism; the method comprises the steps that when a to-be-sorted piece containing to-be-sorted cells moves to a preset area of a cell sorting device, an imaging mechanism images the to-be-sorted cells in the preset area so as to obtain image data of the to-be-sorted cells; and sending the image data of the to-be-sorted cells to a terminal for display. By adopting the method, the cell sorting efficiency can be improved.