公开(公告)号：US11667875B1

公开(公告)日：2023-06-06

申请号：US16562262

申请日：2019-09-05

Applicant: ThinkCyte, Inc.

Inventor： Keiji Nakagawa ,  Yoko Kawamura

IPC: C12N15/10 ,  B01L3/00 ,  C12M3/06 ,  C12M1/00 ,  B01F33/30

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.

公开(公告)号：US11630293B2

公开(公告)日：2023-04-18

申请号：US16663182

申请日：2019-10-24

Applicant: ThinkCyte, Inc. ,  The University of Tokyo

Inventor： Masashi Ugawa ,  Yoko Kawamura ,  Sadao Ota

IPC: G02B21/00 ,  G01N15/14 ,  G02B21/04 ,  G02B21/18

Abstract: An imaging flow cytometer includes at least one flow channel through which an observation target flows, a light source which irradiates the flow channel with sheet-like excitation light, an imaging unit which images a specific cross-section of the observation target by imaging fluorescence from the observation target having passed through a position irradiated with the excitation light, and a three-dimensional image generation unit which generates a three-dimensional image of the observation target as a captured image on the basis of a plurality of captured images obtained by cross-sectional imaging by the imaging unit.

公开(公告)号：US11598712B2

公开(公告)日：2023-03-07

申请号：US16610481

申请日：2018-05-02

Applicant: THINKCYTE, INC. ,  The University of Tokyo

Inventor： Masashi Ugawa ,  Yoko Kawamura ,  Sadao Ota

IPC: G01N15/14 ,  G01N15/10

Abstract: A cell evaluation system includes physical measurement unit, a database, and evaluation unit. The evaluation unit refers to a relevance stored in the database, searches reference measurement information based on measurement information of a cell newly measured via the physical measurement unit, and evaluates the cell with biological measurement information associated with the searched reference measurement information.

公开(公告)号：US20210190669A1

公开(公告)日：2021-06-24

申请号：US17115657

申请日：2020-12-08

Applicant: ThinkCyte, Inc. ,  University of Tokyo ,  Osaka University

Inventor： Sadao Ota ,  Ryoichi Horisaki ,  Yoko Kawamura ,  Masashi Ugawa ,  Issei Sato

IPC: G01N15/14

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.

公开(公告)号：US11788948B2

公开(公告)日：2023-10-17

申请号：US17115657

申请日：2020-12-08

Applicant: ThinkCyte, Inc. ,  University of Tokyo ,  Osaka University

Inventor： Sadao Ota ,  Ryoichi Horisaki ,  Yoko Kawamura ,  Masashi Ugawa ,  Issei Sato

IPC: G01N15/14 ,  G01N15/10

CPC classification number: G01N15/1434 ,  G01N15/1459 ,  G01N2015/1006 ,  G01N2015/145 ,  G01N2015/149 ,  G01N2015/1497

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.