IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms11542.html
   My bibliography  Save this article

OptoDyCE as an automated system for high-throughput all-optical dynamic cardiac electrophysiology

Author

Listed:
  • Aleksandra Klimas

    (Stony Brook University
    Present address: Department of Biomedical Engineering, George Washington University, Washington, DC, USA)

  • Christina M. Ambrosi

    (Stony Brook University
    Present address: Department of Biomedical Engineering, George Washington University, Washington, DC, USA)

  • Jinzhu Yu

    (Stony Brook University)

  • John C. Williams

    (Stony Brook University)

  • Harold Bien

    (Stony Brook University)

  • Emilia Entcheva

    (Stony Brook University
    Present address: Department of Biomedical Engineering, George Washington University, Washington, DC, USA)

Abstract

The improvement of preclinical cardiotoxicity testing, discovery of new ion-channel-targeted drugs, and phenotyping and use of stem cell-derived cardiomyocytes and other biologics all necessitate high-throughput (HT), cellular-level electrophysiological interrogation tools. Optical techniques for actuation and sensing provide instant parallelism, enabling contactless dynamic HT testing of cells and small-tissue constructs, not affordable by other means. Here we show, computationally and experimentally, the limits of all-optical electrophysiology when applied to drug testing, then implement and validate OptoDyCE, a fully automated system for all-optical cardiac electrophysiology. We validate optical actuation by virally introducing optogenetic drivers in rat and human cardiomyocytes or through the modular use of dedicated light-sensitive somatic ‘spark’ cells. We show that this automated all-optical approach provides HT means of cellular interrogation, that is, allows for dynamic testing of >600 multicellular samples or compounds per hour, and yields high-content information about the action of a drug over time, space and doses.

Suggested Citation

  • Aleksandra Klimas & Christina M. Ambrosi & Jinzhu Yu & John C. Williams & Harold Bien & Emilia Entcheva, 2016. "OptoDyCE as an automated system for high-throughput all-optical dynamic cardiac electrophysiology," Nature Communications, Nature, vol. 7(1), pages 1-12, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11542
    DOI: 10.1038/ncomms11542
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms11542
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms11542?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pavel Škrabánek & Alexandra Zahradníková jr., 2019. "Automatic assessment of the cardiomyocyte development stages from confocal microscopy images using deep convolutional networks," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-18, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11542. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.