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

TitleIntegrating light-sheet imaging with virtual reality to recapitulate developmental cardiac mechanics.
Publication TypeJournal Article
Year of Publication2017
AuthorsY Ding, A Abiri, P Abiri, S Li, C-C Chang, KI Baek, JJ Hsu, E Sideris, Y Li, J Lee, T Segura, TP Nguyen, A Bui, RR Sevag Packard, P Fei, and TK Hsiai
JournalJci Insight
Date Published11/2017

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.

Short TitleJci Insight