ArticleJCI insight2017
Integrating light-sheet imaging with virtual reality to recapitulate developmental cardiac mechanics.
Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Integrative multi-omics and machine learning reveal glycolysis-related biomarkers driving vascular remodeling in pulmonary arterial hypertension.Molecular and cellular biochemistry · 2026Article
- Volumetric imaging and computation to explore contractile function in zebrafish hearts.Cell reports methods · 2025Article
- Advanced Imaging Techniques for Atherosclerosis and Cardiovascular Calcification in Animal Models.Journal of cardiovascular development and disease · 2024Review
- Frontiers in artificial intelligence-directed light-sheet microscopy for uncovering biological phenomena and multi-organ imaging.View (Beijing, China) · 2024Article
- Development of a Machine Learning-Enabled Virtual Reality Tool for Preoperative Planning of Functional Endoscopic Sinus Surgery.Journal of neurological surgery reports · 2024Article
- 4D Light-sheet Imaging of Zebrafish Cardiac Contraction.Journal of visualized experiments : JoVE · 2024Article
- 4D Light-sheet imaging and interactive analysis of cardiac contractility in zebrafish larvae.APL bioengineering · 2023Article
- Light sheet imaging and interactive analysis of the cardiac structure in neonatal mice.Journal of biophotonics · 2023Article
- Extended reality for biomedicine.Nature reviews. Methods primers · 2023Article
- Computational Analysis of Cardiac Contractile Function.Current cardiology reports · 2022Review
- Virtual Reality for Interactive Medical Analysis.Frontiers in virtual reality · 2022Article
- Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation.IEEE transactions on bio-medical engineering · 2021Article
- Three-dimensional Imaging Coupled with Topological Quantification Uncovers Retinal Vascular Plexuses Undergoing Obliteration.Theranostics · 2021Article
- Displacement analysis of myocardial mechanical deformation (DIAMOND) reveals segmental susceptibility to doxorubicin-induced injury and regeneration.JCI insight · 2019Article
- Contractile and hemodynamic forces coordinate Notch1b-mediated outflow tract valve formation.JCI insight · 2019Article
- Simulating Developmental Cardiac Morphology in Virtual Reality Using a Deformable Image Registration Approach.Annals of biomedical engineering · 2018Article
- Advanced microscopy to elucidate cardiovascular injury and regeneration: 4D light-sheet imaging.Progress in biophysics and molecular biology · 2018Review
- Phenotyping cardiomyopathy in adult zebrafish.Progress in biophysics and molecular biology · 2018Review
- Light-sheet Fluorescence Microscopy for the Study of the Murine Heart.Journal of visualized experiments : JoVE · 2018Article
- Multiscale light-sheet for rapid imaging of cardiopulmonary system.JCI insight · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.