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Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication

Shuang Ma Junfeng Wu Zhihua Liu Rong He Yuechao Wang Lianqing Liu Tianlu Wang Wenxue Wang

药物分析学报（英文）2023，Vol.13Issue(4)：388-402,15.

Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication

Shuang Ma ¹Junfeng Wu ¹Zhihua Liu ²Rong He ³Yuechao Wang ²Lianqing Liu ²Tianlu Wang ⁴Wenxue Wang²

作者信息

1. State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China||Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China||University of Chinese Academy of Sciences,Beijing 100049,China
2. State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China||Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China
3. Department of Thoracic Surgery,Cancer Hospital of China Medical University,Liaoning Cancer Hospital and Institute,Shenyang 110042,China
4. Department of Radiotherapy,Cancer Hospital of China Medical University,Liaoning Cancer Hospital and Institute,Shenyang 110042,China
折叠

摘要

关键词

Cellular mechanical properties/Cytoskeleton/Drug efficacy evaluation/Cell system modelling/Linear regression

Key words

Cellular mechanical properties/Cytoskeleton/Drug efficacy evaluation/Cell system modelling/Linear regression

引用本文复制引用

Shuang Ma,Junfeng Wu,Zhihua Liu,Rong He,Yuechao Wang,Lianqing Liu,Tianlu Wang,Wenxue Wang..Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication[J].药物分析学报（英文）,2023,13(4):388-402,15.

基金项目

This work was supported by the National Natural Science Foundation of China(Grant Nos:U1908215,61925307,62003338,and 61933008),CAS Project for Young Scientists in Basic Research(Grant No:YSBR-041),Liaoning Revitalization Talents Program(Grant No:XLYC2002014),Natural Science Foundation of Liaoning Province of China(Grant No:2020-ZLLH-47),and Joint fund of Science & Technology Department of Liaoning Province and State Key Laboratory of Robotics,China(Grant No:2019-KF-01-01). （Grant Nos:U1908215,61925307,62003338,and 61933008）

药物分析学报（英文）

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ISSN：2095-1779

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