Microfluidic devices and uses thereof

    公开(公告)号:US11667875B1

    公开(公告)日:2023-06-06

    申请号:US16562262

    申请日:2019-09-05

    CPC classification number: C12M23/16 B01F33/30 C12M23/20

    Abstract: The present disclosure provides systems, devices, and methods for flow focusing in a microfluidic device. Flow focusing may be used in detection of objects, for example cells, in a stream of fluid passing through a fluidic device. The systems and devices may comprise a flow channel positioned between two sheath channels configured to direct fluid across the flow channel. Flow focusing microfluidic systems and devices disclosed herein may be robust to alignment errors. Systems and devices of the present disclosure may reduce the displacement of flow from the intended locations due to alignment errors. Also disclosed herein are methods for using such microfluidic systems and devices.

    NOVEL CELLULAR PHENOTYPE SCREENING METHOD

    公开(公告)号:US20230058670A1

    公开(公告)日:2023-02-23

    申请号:US17770569

    申请日:2021-01-12

    Abstract: The present disclosure provides a method for screening cells, the method including a step of preparing a plurality of cells which are tagged with a first barcode nucleic acid associated with a test target and treated with the test target, a step of sorting the plurality of cells based on cellular phenotype using an imaging cell sorter, and a step of identifying the test target used to treat each cell using the first barcode nucleic acid as an indicator.

    METHODS AND SYSTEMS FOR CYTOMETRY

    公开(公告)号:US20210190669A1

    公开(公告)日:2021-06-24

    申请号:US17115657

    申请日:2020-12-08

    Abstract: 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.

    MASK STRUCTURE OPTIMIZATION DEVICE, MASK STRUCTURE OPTIMIZATION METHOD, AND PROGRAM

    公开(公告)号:US20210166094A1

    公开(公告)日:2021-06-03

    申请号:US16965311

    申请日:2019-01-30

    Abstract: A mask structure optimization device includes a classification target image size acquisition unit that is configured to acquire a size of a classification target image which is an image including a classification target, a mask size setting unit that is configured to set a size of a mask applied to the classification target image, a brightness detection unit that is configured to detect a brightness of each pixel within the classification target image at a position on an opposite side of the mask from the classification target image, a sum total brightness calculation unit that is configured to calculate the sum total brightness of the each pixel within the classification target image detected by the brightness detection unit, an initial value setting unit that is configured to set an initial value for a mask pattern of the mask, and a movement unit that is configured to relatively move the mask with respect to the classification target image. The sum total brightness calculation unit is configured to calculate the sum total brightness of the each pixel within the classification target image every time the movement unit relatively moves the mask by a predetermined movement amount. The mask structure optimization device further includes a mask pattern optimization unit that is configured to optimize the mask pattern of the mask on the basis of the sum total brightness.

    FEATURE VALUE CALCULATION DEVICE, FEATURE VALUE CALCULATION METHOD, AND PROGRAM

    公开(公告)号:US20240230507A1

    公开(公告)日:2024-07-11

    申请号:US18559535

    申请日:2022-04-14

    CPC classification number: G01N15/1429 G16B40/10

    Abstract: A feature value calculation device is a feature value calculation device that calculates a feature value indicating optical characteristics of an object to be measured in a flow cytometry method, the device including: a signal information acquisition unit to acquire signal information indicating a temporal change in intensity of the electromagnetic waves which is generated by a light detector receiving the modulated electromagnetic waves from the object to be measured; a region setting unit that sets a region to be processed in waveform data in which a feature value is calculated in a domain of the waveform data based on the signal information acquired by the signal information acquisition unit; and a feature value calculation unit that calculates the feature value from the waveform data in the region set by the region setting unit.

    MASK STRUCTURE OPTIMIZATION DEVICE, MASK STRUCTURE OPTIMIZATION METHOD, AND PROGRAM

    公开(公告)号:US20220222935A1

    公开(公告)日:2022-07-14

    申请号:US17706962

    申请日:2022-03-29

    Abstract: A mask structure optimization device includes a classification target image size acquisition unit that is configured to acquire a size of a classification target image which is an image including a classification target, a mask size setting unit that is configured to set a size of a mask applied to the classification target image, a brightness detection unit that is configured to detect a brightness of each pixel within the classification target image at a position on an opposite side of the mask from the classification target image, a sum total brightness calculation unit that is configured to calculate the sum total brightness of the each pixel within the classification target image detected by the brightness detection unit, an initial value setting unit that is configured to set an initial value for a mask pattern of the mask, and a movement unit that is configured to relatively move the mask with respect to the classification target image. The sum total brightness calculation unit is configured to calculate the sum total brightness of the each pixel within the classification target image every time the movement unit relatively moves the mask by a predetermined movement amount. The mask structure optimization device further includes a mask pattern optimization unit that is configured to optimize the mask pattern of the mask on the basis of the sum total brightness.

    Mask structure optimization device, mask structure optimization method, and program

    公开(公告)号:US11314994B2

    公开(公告)日:2022-04-26

    申请号:US16965311

    申请日:2019-01-30

    Abstract: A mask structure optimization device includes a classification target image size acquisition unit that is configured to acquire a size of a classification target image which is an image including a classification target, a mask size setting unit that is configured to set a size of a mask applied to the classification target image, a brightness detection unit that is configured to detect a brightness of each pixel within the classification target image at a position on an opposite side of the mask from the classification target image, a sum total brightness calculation unit that is configured to calculate the sum total brightness of the each pixel within the classification target image detected by the brightness detection unit, an initial value setting unit that is configured to set an initial value for a mask pattern of the mask, and a movement unit that is configured to relatively move the mask with respect to the classification target image. The sum total brightness calculation unit is configured to calculate the sum total brightness of the each pixel within the classification target image every time the movement unit relatively moves the mask by a predetermined movement amount. The mask structure optimization device further includes a mask pattern optimization unit that is configured to optimize the mask pattern of the mask on the basis of the sum total brightness.

    METHODS AND SYSTEMS FOR TARGET SCREENING

    公开(公告)号:US20210310053A1

    公开(公告)日:2021-10-07

    申请号:US17231725

    申请日:2021-04-15

    Inventor: Keiki Sugimoto

    Abstract: The present disclosure provides a method for identifying a nucleic acid, which may comprise incubating a cell that has been or is suspected of having been transfected or transduced with an exogenous ribonucleic acid (RNA) molecule or an exogenous deoxyribonucleic (DNA) molecule. Next, a morphological change of the cell may be identified. Next, contents of the cell may be processed to identify a nucleic acid sequence or a peptide, polypeptide, or protein or a sequence of the peptide, polypeptide, or protein. Next, the nucleic acid sequence or the peptide, polypeptide, or protein or the sequence of the peptide, polypeptide, or protein may be analyzed to determine an exogenous sequence of the exogenous RNA molecule or the exogenous DNA molecule. Next, the exogenous sequence of the exogenous RNA molecule or the exogenous DNA molecule may be identified as effecting the morphological change of the cell. The exogenous RNA molecule or the exogenous DNA molecule may encode genes or peptides, polypeptides, or proteins that inhibit, activate, or modulate a biochemical pathway within the cell, thereby causing the morphological change of the cell.

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