CAREER: Modeling and Control of Cellular Response to Dynamic Mechanical Manipulation Using a Dual-Input Platform
职业:使用双输入平台对动态机械操作的细胞响应进行建模和控制
基本信息
- 批准号:1751503
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This Faculty Early Career Development Program (CAREER) project will create new models of the way that cells change their shape in response to external forces. The project will include the design of a dual-direction instrument for applying forces to cells -- one that combines a supporting surface that can expand and contract, together with a movable probe that can contact exposed portions of the cell surface. A control algorithm based on the new models will allow scientists and engineers to achieve precise stress and strain trajectories across the cell, and on specific organelles in the cell interior. This award will advance the national health, and promote the progress of the biological sciences. It will provide cell biologists with a new tool for studying the biochemical and mechanical changes that cells undergo in response to external forces, as well as a potential tool for inducing desired cell behaviors, for example, for the synthesis of biomaterials. Integrated educational and outreach activities include the development of new courses in nano-positioning and nano-biomechanics, and an outreach program on the use of nano-biomechanical methods in agriculture.Mechanotransduction is the process of sensing, transmission and response to external mechanical stimuli of living cells. It is essential for maintenance of normal cell, tissue, and organ functioning. This project will build a suite of tools to sense and model cellular mechanotransduction dynamics and 3D dynamic structure, in order to achieve cellular behavior manipulation. The specific objectives of this project are to: (1) build a dual-direction mechanotransduction characterization scheme, which for the first time, uses both scanning probe microscopy and dynamic substrate stimuli and synchronizes optical and biomechanical quantification in biomechanical quantification; (2) create a new optimal excitation force design technique to incorporate and allow linear poroelasticity and nonlinear time-varying viscoelasticity models to be utilized in identification of mechanotransduction dynamics; and (3) formulate a near real-time precision tracking control algorithm to achieve high-efficiency tracking of the varying manipulation force to minimize the initial tracking error and tracking iterations by combining both iterative learning-based control and model predictive control approaches.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这个教师早期职业发展计划(CAREER)项目将创建细胞响应外力改变形状的新模型。该项目将包括一个双向仪器的设计,用于向细胞施加力-一个结合了一个可以膨胀和收缩的支撑表面,以及一个可以接触细胞表面暴露部分的可移动探针。基于新模型的控制算法将使科学家和工程师能够在整个细胞以及细胞内部的特定细胞器上实现精确的应力和应变轨迹。该奖项将促进国民健康,促进生物科学的进步。它将为细胞生物学家提供一种新的工具,用于研究细胞在外力作用下发生的生物化学和机械变化,以及诱导所需细胞行为的潜在工具,例如,用于合成生物材料。综合教育和外展活动包括开发纳米定位和纳米生物力学的新课程,以及在农业中使用纳米生物力学方法的外展方案。它对维持正常的细胞、组织和器官功能至关重要。本项目将建立一套工具来感知和模拟细胞的机械传导动力学和三维动态结构,以实现细胞行为操纵。本项目的具体目标是:(1)建立双向力学传导表征方案,首次将扫描探针显微镜和动态基底刺激相结合,并将光学和生物力学定量相结合用于生物力学定量;(2)创造一种新的最佳激振力设计技术,以结合并允许线性孔隙弹性和非线性时间-在机械转换动力学的识别中使用的不同粘弹性模型;以及(3)通过结合迭代学习和跟踪迭代,制定近实时精确跟踪控制算法,以实现对变化的操纵力的高效跟踪,从而最小化初始跟踪误差和跟踪迭代。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Image Recognition-Based Approach to Actin Cytoskeleton Quantification
- DOI:10.3390/electronics7120443
- 发表时间:2018-12-01
- 期刊:
- 影响因子:2.9
- 作者:Liu, Yi;Mollaeian, Keyvan;Ren, Juan
- 通讯作者:Ren, Juan
Tracking Control Using Recurrent-neural-network-based Inversion Model: a Case Study on a Piezo Actuator
使用基于循环神经网络的反演模型进行跟踪控制:压电执行器的案例研究
- DOI:10.1109/tie.2020.3037989
- 发表时间:2020
- 期刊:
- 影响因子:7.7
- 作者:Xie, Shengwen;Ren, Juan
- 通讯作者:Ren, Juan
Effect of F-actin and Microtubules on Cellular Mechanical Behavior Studied Using Atomic Force Microscope and an Image Recognition-Based Cytoskeleton Quantification Approach
- DOI:10.3390/ijms21020392
- 发表时间:2020-01-02
- 期刊:
- 影响因子:5.6
- 作者:Liu, Yi;Mollaeian, Keyvan;Ren, Juan
- 通讯作者:Ren, Juan
Actin Cytoskeleton Morphology Modeling Using Graph Embedding and Classification in Machine Learning
在机器学习中使用图嵌入和分类进行肌动蛋白细胞骨架形态学建模
- DOI:10.1016/j.ifacol.2021.11.195
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Liu, Yi;Zhang, Juntao;Bharat, Charuku;Ren, Juan
- 通讯作者:Ren, Juan
Investigation of the effect of substrate morphology on MDCK cell mechanical behavior using atomic force microscopy
- DOI:10.1063/1.5109115
- 发表时间:2019-08
- 期刊:
- 影响因子:4
- 作者:Keyvan Mollaeian;Yi Liu;Siyu Bi;Juan Ren
- 通讯作者:Keyvan Mollaeian;Yi Liu;Siyu Bi;Juan Ren
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Juan Ren其他文献
Coexistence of three ferroelectric phases and enhanced piezoelectric properties in BaTiO3–CaHfO3 lead-free ceramics
BaTiO3·CaHfO3 无铅陶瓷中三个铁电相的共存和增强的压电性能
- DOI:
10.1016/j.jeurceramsoc.2017.09.023 - 发表时间:
2018-02 - 期刊:
- 影响因子:5.7
- 作者:
Yang Yang;Yibei Zhou;Juan Ren;Qiaoji Zheng;Kwok Ho Lam;Dunmin Lin - 通讯作者:
Dunmin Lin
Effect of image-guided hypofractionated stereotactic radiotherapy on peripheral non-small-cell lung cancer
影像引导大分割立体定向放射治疗周围型非小细胞肺癌的疗效
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:4
- 作者:
Shu;Juan Ren;Yanli Yan;Chaofan Xue;Li Tan;Xiaowei Ma - 通讯作者:
Xiaowei Ma
Dosimetric Comparison between Three-Dimensional Magnetic Resonance Imaging-Guided and Conventional Two-Dimensional Point A-Based Intracavitary Brachytherapy Planning for Cervical Cancer
三维磁共振成像引导与传统二维 A 点宫颈癌腔内近距离治疗计划的剂量学比较
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:3.7
- 作者:
Juan Ren;W. Yuan;Rui;Qiu;Yi Li;Chaofan Xue;Yanli Yan;Xiaowei Ma;Li Tan;Zi Liu - 通讯作者:
Zi Liu
C60-Decorated nickel–cobalt phosphide as an efficient and robust electrocatalyst for hydrogen evolution reaction
- DOI:
DOI: 10.1039/c8nr07472k - 发表时间:
2018 - 期刊:
- 影响因子:6.7
- 作者:
Zhiling Du;Nahar Jannatun;Danyang Yu;Juan Ren;Wenhuan Huang;Xing Lu - 通讯作者:
Xing Lu
Tandem tension sensor reveals substrate rigidity-dependence of integrin molecular tensions in live cells
串联张力传感器揭示了活细胞中整合素分子张力的基质刚性依赖性
- DOI:
10.1101/2020.01.24.918946 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
A. Sarkar;D. LeVine;Yuanchang Zhao;Keyvan Mollaeian;Juan Ren;Xuefeng Wang - 通讯作者:
Xuefeng Wang
Juan Ren的其他文献
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{{ truncateString('Juan Ren', 18)}}的其他基金
Student Travel Support for the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics; Seattle, Washington; June 28 to July 1, 2023
2023年IEEE/ASME高级智能机电一体化国际会议的学生旅行支持;
- 批准号:
2245052 - 财政年份:2023
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Control-Based Adaptive Characterization of Nano-scale Mechanical and Structural Properties of Biological Materials
基于控制的生物材料纳米级机械和结构特性的自适应表征
- 批准号:
1634592 - 财政年份:2016
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
相似国自然基金
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Evolution (GAME) and cosmological
hydrodynamic simulations.
- 批准号:
- 批准年份:2025
- 资助金额:10.0 万元
- 项目类别:省市级项目
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