Data Generation Method, Trained Model Generation Method, and Particle Classification Method

    公开(公告)号:US20240280467A1

    公开(公告)日:2024-08-22

    申请号:US18571582

    申请日:2022-06-17

    CPC classification number: G01N15/1433 G01N15/149 G06V10/764

    Abstract: First waveform data, which indicates the morphological characteristics of a particle and is obtained by emitting light to the particle, and a photographic image obtained by photographing the particle are acquired. A first trained model that outputs a particle image when waveform data is input is generated by training using first training data including the first waveform data and the photographic image. Second waveform data is input to the first trained model. Classification information indicating a classification into which the particle is classified according to the morphological characteristics is acquired in association with the particle image output from the first trained model. Data including the second waveform data and the classification information is stored as second training data for training a second trained model that outputs classification information when waveform data is input.

    FLOW CYTOMETER, POSITION CALCULATION METHOD, AND PROGRAM

    公开(公告)号:US20250044211A1

    公开(公告)日:2025-02-06

    申请号:US18800748

    申请日:2024-08-12

    Applicant: ThinkCyte K.K.

    Abstract: A flow cytometer includes a microfluidic device, a light source, a photodetector that detects, in time series, the intensity of signal light emitted from an observation object when the observation object flowing through a flow path is irradiated with illumination light, an information generation device that generates optical information indicating a structure of the observation object based on the intensity of the signal light, an arithmetic device, and a flow path position control device, wherein the arithmetic device includes a signal intensity acquiring unit that acquires electronic data of temporal changes in the intensity of the signal light detected based on a detection position predetermined in the flow path to detect the depth position in the flow path where the observation object passes through the flow path, a scan unit that performs a scan process to move the flow path in the depth direction and acquire the electronic data at different depth positions, a position calculation unit that calculates the depth position based on the electronic data, and an output unit that outputs position information indicating the depth position calculated by the position calculation unit.

    FLOW CYTOMETER, CELL SORTER, OPTICAL INFORMATION GENERATION METHOD, AND PROGRAM

    公开(公告)号:US20230266229A1

    公开(公告)日:2023-08-24

    申请号:US18118670

    申请日:2023-03-07

    Applicant: ThinkCyte K.K.

    CPC classification number: G01N15/1459 G01N15/1484 G01N15/1436 G01N2015/1006

    Abstract: A flow cytometer includes: a light source; a microfluidic device; a photodetector; an information generation device which generates optical information indicating a morphology of an observation target on the basis of optical signal intensity; and a spatial light modulation unit which is installed on an optical path between the light source and the photodetector and structures any one of illumination light irradiated from the light source toward the flow path and signal light from the observation target. In the flow path provided with the microfluidic device, a plurality of optical signal detection positions are arranged linearly at equal intervals in a predetermined direction of the flow path by structuring the illumination light or the signal light and a plurality of trigger signal detection positions for detecting a trigger signal by which the information generation device starts the generation of the optical information are arranged to be separated by the same predetermined distance in a length direction of the flow path while respectively corresponding to the plurality of optical signal detection positions.

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