WO2023221951A3 - 基于细胞动态图像机器学习的细胞分化 - Google Patents

基于细胞动态图像机器学习的细胞分化 Download PDF

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Publication number
WO2023221951A3
WO2023221951A3 PCT/CN2023/094381 CN2023094381W WO2023221951A3 WO 2023221951 A3 WO2023221951 A3 WO 2023221951A3 CN 2023094381 W CN2023094381 W CN 2023094381W WO 2023221951 A3 WO2023221951 A3 WO 2023221951A3
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WIPO (PCT)
Prior art keywords
machine learning
cell
dynamic
images
differentiation based
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PCT/CN2023/094381
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English (en)
French (fr)
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WO2023221951A2 (zh
Inventor
赵扬
张珏
杨晓淳
王瑶
陈代超
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北京大学
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Publication of WO2023221951A2 publication Critical patent/WO2023221951A2/zh
Publication of WO2023221951A3 publication Critical patent/WO2023221951A3/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Abstract

本发明涉及生物医药领域。具体而言,涉及基于细胞动态图像机器学习的细胞分化方法。更具体而言,涉及一种利用细胞动态图像的机器学习来辅助从起始细胞例如多能干细胞(例如诱导的多能干细胞)获得分化的靶细胞(例如心肌细胞)的方法和装置。
PCT/CN2023/094381 2022-05-14 2023-05-15 基于细胞动态图像机器学习的细胞分化 WO2023221951A2 (zh)

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CN202210525166 2022-05-14
CN202210525166.X 2022-05-14

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WO2023221951A3 true WO2023221951A3 (zh) 2024-01-11

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111666895A (zh) * 2020-06-08 2020-09-15 上海市同济医院 基于深度学习的神经干细胞分化方向预测系统及方法
CN111919117A (zh) * 2018-03-20 2020-11-10 株式会社岛津制作所 细胞图像解析装置、系统、学习数据生成方法及程序、制造方法、学习模型生成方法
US20210117729A1 (en) * 2018-03-16 2021-04-22 The United States Of America, As Represented By The Secretary, Department Of Health & Human Services Using machine learning and/or neural networks to validate stem cells and their derivatives (2-d cells and 3-d tissues) for use in cell therapy and tissue engineered products
WO2021094507A1 (en) * 2019-11-13 2021-05-20 Keen Eye Technologies Method for analysis of a cytology image
US20210325308A1 (en) * 2020-04-20 2021-10-21 Tempus Labs, Inc. Artificial flourescent image systems and methods
WO2021261140A1 (ja) * 2020-06-22 2021-12-30 株式会社片岡製作所 細胞処理装置、学習装置、および学習済モデルの提案装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210117729A1 (en) * 2018-03-16 2021-04-22 The United States Of America, As Represented By The Secretary, Department Of Health & Human Services Using machine learning and/or neural networks to validate stem cells and their derivatives (2-d cells and 3-d tissues) for use in cell therapy and tissue engineered products
CN111919117A (zh) * 2018-03-20 2020-11-10 株式会社岛津制作所 细胞图像解析装置、系统、学习数据生成方法及程序、制造方法、学习模型生成方法
WO2021094507A1 (en) * 2019-11-13 2021-05-20 Keen Eye Technologies Method for analysis of a cytology image
US20210325308A1 (en) * 2020-04-20 2021-10-21 Tempus Labs, Inc. Artificial flourescent image systems and methods
CN111666895A (zh) * 2020-06-08 2020-09-15 上海市同济医院 基于深度学习的神经干细胞分化方向预测系统及方法
WO2021261140A1 (ja) * 2020-06-22 2021-12-30 株式会社片岡製作所 細胞処理装置、学習装置、および学習済モデルの提案装置

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
KEGELES EVGENII, NAUMOV ANTON, KARPULEVICH EVGENY A., VOLCHKOV PAVEL, BARANOV PETR: "Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids", FRONTIERS IN CELLULAR NEUROSCIENCE, FRONTIERS RESEARCH FOUNDATION, CH, vol. 14, CH , XP093128058, ISSN: 1662-5102, DOI: 10.3389/fncel.2020.00171 *

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