Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • Resource and Technical Advances
    • Clinical Medicine
    • Reviews
    • Editorials
    • Perspectives
    • Top read articles
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
Integrating light-sheet imaging with virtual reality to recapitulate developmental cardiac mechanics
Yichen Ding, … , Peng Fei, Tzung K. Hsiai
Yichen Ding, … , Peng Fei, Tzung K. Hsiai
Published November 16, 2017
Citation Information: JCI Insight. 2017;2(22):e97180. https://doi.org/10.1172/jci.insight.97180.
View: Text | PDF
Resource and Technical Advance Cardiology

Integrating light-sheet imaging with virtual reality to recapitulate developmental cardiac mechanics

  • Text
  • PDF
Abstract

Currently, there is a limited ability to interactively study developmental cardiac mechanics and physiology. We therefore combined light-sheet fluorescence microscopy (LSFM) with virtual reality (VR) to provide a hybrid platform for 3D architecture and time-dependent cardiac contractile function characterization. By taking advantage of the rapid acquisition, high axial resolution, low phototoxicity, and high fidelity in 3D and 4D (3D spatial + 1D time or spectra), this VR-LSFM hybrid methodology enables interactive visualization and quantification otherwise not available by conventional methods, such as routine optical microscopes. We hereby demonstrate multiscale applicability of VR-LSFM to (a) interrogate skin fibroblasts interacting with a hyaluronic acid–based hydrogel, (b) navigate through the endocardial trabecular network during zebrafish development, and (c) localize gene therapy-mediated potassium channel expression in adult murine hearts. We further combined our batch intensity normalized segmentation algorithm with deformable image registration to interface a VR environment with imaging computation for the analysis of cardiac contraction. Thus, the VR-LSFM hybrid platform demonstrates an efficient and robust framework for creating a user-directed microenvironment in which we uncovered developmental cardiac mechanics and physiology with high spatiotemporal resolution.

Authors

Yichen Ding, Arash Abiri, Parinaz Abiri, Shuoran Li, Chih-Chiang Chang, Kyung In Baek, Jeffrey J. Hsu, Elias Sideris, Yilei Li, Juhyun Lee, Tatiana Segura, Thao P. Nguyen, Alexander Bui, René R. Sevag Packard, Peng Fei, Tzung K. Hsiai

×

Figure 1

HDFs embedded in a hydrogel matrix.

Options: View larger image (or click on image) Download as PowerPoint
HDFs embedded in a hydrogel matrix.
(A–D) The physical interface between...
(A–D) The physical interface between the HDFs (red) and beads (green) provides a user-initiative perception. (E–H) Applying VR-LSFM accentuates the depth perception and contextual relation. Variable stepping directions are labeled with white arrows. (I and J) Conventional 3D volumetric rendering results are constrained to concurrently depict both beads and HDFs due to the reduced levels of transparency of the beads. (K) The 2D raw data reveal attenuation in spatial resolution of the HDF cells interacting with the beads. (L) The polymer network of the 3D microgel matrix is demonstrated in the conventional mode. HDF, human dermal fibroblast; VR, virtual reality; LSFM, light-sheet fluorescence microscopy. Scale bar: 50 μm. All the images are shown in pseudocolor.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts