Volumetric imaging and computation to explore contractile function in zebrafish hearts.

Journal: Cell reports methods
Published Date:

Abstract

Novel insights into cardiac contractile dysfunction at the cellular level could deepen understanding of arrhythmia and heart injury, which are leading causes of morbidity and mortality worldwide. We present a comprehensive experimental and computational framework combining light-field microscopy and single-cell tracking to investigate real-time volumetric data in live zebrafish hearts, which share structural and electrical similarities to the human heart. Our system acquires 200 vol/s with lateral resolution of up to 5.02 ± 0.54 μm and axial resolution of 9.02 ± 1.11 μm across the whole depth using an expectation-maximization-smoothed deconvolution algorithm. We apply a deep-learning approach to quantify cell displacement and velocity in blood flow and myocardial motion and to perform real-time volumetric tracking from end-systole to end-diastole within a virtual reality environment. This capability delivers high-speed and high-resolution imaging of cardiac contractility at single-cell resolution over multiple cycles, supporting in-depth investigation of intercellular interactions in health and disease.

Authors

  • Alireza Saberigarakani
    Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Riya P Patel
    Department of Biology, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Milad Almasian
    Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Xinyuan Zhang
    Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
  • Jonathan Brewer
    Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Sohail S Hassan
    Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Jichen Chai
    Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
  • Juhyun Lee
    Department of Bioengineering, University of Texas, Arlington, TX, USA.
  • Baowei Fei
  • Jie Yuan
    Key Laboratory of Engineering Biology for Low-Carbon Manufacturing, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, National Center of Technology Innovation for Synthetic Biology, No. 32, Xiqi Road, Tianjin Airport Economic Park, Tianjin 300308, China.
  • Kelli Carroll
    Department of Biology, Wofford College, Spartanburg, SC 29303, USA.
  • Yichen Ding