Opto-electronic feedback control of membrane potential for real-time control of action potentials

被引:2
|
作者
Ordog, Balazs [1 ]
De Coster, Tim [1 ]
Dekker, Sven O. [1 ]
Bart, Cindy I. [1 ]
Zhang, Juan [1 ]
Boink, Gerard J. J. [2 ,3 ]
Bax, Wilhelmina H. [1 ]
Deng, Shanliang [1 ,4 ]
den Ouden, Bram L. [1 ,4 ]
de Vries, Antoine A. F. [1 ]
Pijnappels, Daniel A. [1 ]
机构
[1] Leiden Univ, Med Ctr, Lab Expt Cardiol,Dept Cardiol, NL-2333 ZA Leiden, Netherlands
[2] Univ Amsterdam, Dept Cardiol, Amsterdam Cardiovasc Sci, Dept Cardiol,Location AMC, NL-1105 AZ Amsterdam, Netherlands
[3] Univ Amsterdam, Dept Med Biol, Amsterdam UMC, Locat AMC, NL-1105 AZ Amsterdam, Netherlands
[4] Delft Univ Technol, Dept Microelect, NL-2628 CD Delft, Netherlands
来源
CELL REPORTS METHODS | 2023年 / 3卷 / 12期
基金
欧洲研究理事会;
关键词
CLOSED-LOOP; OPTOGENETIC CONTROL; HEART-FAILURE; CLAMP;
D O I
10.1016/j.crmeth.2023.100671
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
To unlock new research possibilities by acquiring control of action potential (AP) morphologies in excitable cells, we developed an opto-electronic feedback loop-based system integrating cellular electrophysiology, real-time computing, and optogenetic approaches and applied it to monolayers of heart muscle cells. This allowed accurate restoration and preservation of cardiac AP morphologies in the presence of electrical perturbations of different origin in an unsupervised, self-regulatory manner, without any prior knowledge of the disturbance. Moreover, arbitrary AP waveforms could be enforced onto these cells. Collectively, these results set the stage for the refinement and application of opto-electronic control systems to enable in-depth investigation into the regulatory role of membrane potential in health and disease.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] NEURAL FEEDBACK SCHEDULING OF REAL-TIME CONTROL TASKS
    Xia, Feng
    Tian, Yu-Chu
    Sun, Youxian
    Dong, Jinxiang
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (11): : 2965 - 2975
  • [42] Feedback utilization control for heterogeneous real-time clusters
    Wang, Jie
    Wang, Hongan
    Fu, Yong
    Li, Xin
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2009, 46 (10): : 1626 - 1633
  • [43] Real-time iterations for nonlinear optimal feedback control
    Diehl, Moritz
    Bock, Hans Georg
    Schloeder, Johannes R.
    2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8, 2005, : 5871 - 5876
  • [44] Real-time scheduling based on fuzzy feedback control
    Peng ShuHua
    Su Zhong
    ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 104 - +
  • [45] A Feedback Control Scheduling Architecture for Real-Time Ontology
    Ben Abid, Wided
    Mhiri, Mohamed Ben Ahmed
    Ben Salem, Malek
    Bouazizi, Emna
    Gargouri, Faiez
    2017 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (IEEE ISKE), 2017,
  • [46] Real-time restoration of an image blurred by arbitrary motion using an opto-electronic hybrid joint transform correlator
    Qian, Y.
    Miao, H.
    Shao, J.
    Jin, W.
    JOURNAL OF OPTICS, 2011, 13 (08)
  • [47] Potential use of real-time dissolved oxygen sensors for oxygen scavenging feedback control
    Durdevic, P.
    Yang, Z.
    2ND INTERNATIONAL WORKSHOP ON MATERIALS SCIENCE AND MECHANICAL ENGINEERING (IWMSME2018), 2019, 504
  • [48] Packet Management for Optimizing Control Performance in Real-Time Feedback Control Systems
    Tong, Xin
    Li, Liying
    Zhao, Guodong
    Meng, Zhen
    Chen, Zhi
    Yang, Geng
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 4362 - 4367
  • [49] Real-time control of electronic motion: Application to NaI
    Gronager, M
    Henriksen, NE
    JOURNAL OF CHEMICAL PHYSICS, 1998, 109 (11): : 4335 - 4341