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    METHODS AND SYSTEMS FOR CYTOMETRY
    2.
    发明公开
    METHODS AND SYSTEMS FOR CYTOMETRY 审中-公开

    公开(公告)号：EP4306931A3

    公开(公告)日：2024-02-07

    申请号：EP23195563.4

    申请日：2019-06-12

    申请人： ThinkCyte K.K. ,  University of Tokyo ,  Osaka University

    发明人： OTA, Sadao ,  HORISAKI, Ryoichi ,  KAWAMURA, Yoko ,  UGAWA, Masashi ,  SATO, Issei

    IPC分类号： G01N15/14

    摘要： 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.

    DYNAMIC HIGH-SPEED HIGH-SENSITIVITY IMAGING DEVICE AND IMAGING METHOD
    4.
    发明公开
    DYNAMIC HIGH-SPEED HIGH-SENSITIVITY IMAGING DEVICE AND IMAGING METHOD 审中-公开
    动态高速高灵敏度成像装置和成像方法

    公开(公告)号：EP3264031A1

    公开(公告)日：2018-01-03

    申请号：EP16755545.7

    申请日：2016-02-24

    申请人： The University of Tokyo ,  Osaka University

    发明人： OTA, Sadao ,  HORISAKI, Ryoichi ,  HASHIMOTO, Kazuki

    IPC分类号： G01B11/00 ,  G01N21/01 ,  G01N21/64

    CPC分类号： G01N21/01 ,  G01B11/00 ,  G01N21/53 ,  G01N21/59 ,  G01N21/64 ,  G01N21/6456 ,  H03M7/3062

    摘要： Any one or both of an optical system with a structured lighting pattern and a structured detecting system having a plurality of regions with different optical characteristics are used. In addition, optical signals from an object to be observed through one or a small number of pixel detectors are detected while changing relative positions between the object to be observed and any one of the optical system and the detecting system, time series signal information of the optical signals are obtained, and an image associated with an object to be observed from the time series signal information is reconstructed.

    摘要翻译： 使用具有结构化照明图案的光学系统和具有多个具有不同光学特性的区域的结构化检测系统中的任何一个或两者。 另外，在改变被观察对象与光学系统和检测系统中的任何一个之间的相对位置的同时，检测来自要通过一个或少数像素检测器观察的对象的光学信号，该时间序列信号信息 获得光学信号，并且重构与时间序列信号信息中的要观察的对象相关联的图像。

    METHODS AND SYSTEMS FOR CYTOMETRY
    5.
    发明公开
    METHODS AND SYSTEMS FOR CYTOMETRY 审中-公开

    公开(公告)号：EP4306931A2

    公开(公告)日：2024-01-17

    申请号：EP23195563.4

    申请日：2019-06-12

    申请人： ThinkCyte K.K. ,  University of Tokyo ,  Osaka University

    发明人： OTA, Sadao ,  HORISAKI, Ryoichi ,  KAWAMURA, Yoko ,  UGAWA, Masashi ,  SATO, Issei

    IPC分类号： G01N15/14

    摘要： 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.