Title:
細胞の再プログラム化を検出するための方法及び装置
Document Type and Number:
Japanese Patent JP6931870
Kind Code:
B2
Abstract:
Disclosed herein are methods for identifying cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells. According to some embodiments, the method includes an image processing step, a cell detection step, and, optionally, a clustering step.
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Inventors:
Zhang Yuan
Hideo Yokota
Kuniya Abe
Cai Mingda
Hideo Yokota
Kuniya Abe
Cai Mingda
Application Number:
JP2017026477A
Publication Date:
September 08, 2021
Filing Date:
February 15, 2017
Export Citation:
Assignee:
RIKEN
Nakahara University
Nakahara University
International Classes:
C12M1/34; G01N33/48; C12N5/10; G06T1/00; G06T7/00; G06V10/764
Domestic Patent References:
| JP2008545959A | ||||
| JP2016101171A |
Foreign References:
| WO2015093518A1 |
Other References:
Yuan-Hsiang Chang et al.,Detection and Localization of Mouse Induced Pluripotent Stem CellFormation using Time-Lapse Fluorescence Microscopy Images,2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2016年,pp.3914-3917,DOI: 10.1109/EMBC.2016.7591583
Yuan-Hsiang Chang et al.,Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks,2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2017年 7月,pp.4058-4061,DOI: 10.1109/EMBC.2017.8037747
Yuan-Hsiang Chang et al.,Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks,2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),2017年 7月,pp.4058-4061,DOI: 10.1109/EMBC.2017.8037747
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