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.

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.

公开(公告)号：EP3807005A1

公开(公告)日：2021-04-21

申请号：EP19819019.1

申请日：2019-06-12

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

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

IPC分类号： B01L3/00 ,  G01N15/10