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A hybrid of light-field and light-sheet imaging to study myocardial function and intracardiac blood flow during zebrafish development.
- Source :
-
PLoS computational biology [PLoS Comput Biol] 2021 Jul 06; Vol. 17 (7), pp. e1009175. Date of Electronic Publication: 2021 Jul 06 (Print Publication: 2021). - Publication Year :
- 2021
-
Abstract
- Biomechanical forces intimately contribute to cardiac morphogenesis. However, volumetric imaging to investigate the cardiac mechanics with high temporal and spatial resolution remains an imaging challenge. We hereby integrated light-field microscopy (LFM) with light-sheet fluorescence microscopy (LSFM), coupled with a retrospective gating method, to simultaneously access myocardial contraction and intracardiac blood flow at 200 volumes per second. While LSFM allows for the reconstruction of the myocardial function, LFM enables instantaneous acquisition of the intracardiac blood cells traversing across the valves. We further adopted deformable image registration to quantify the ventricular wall displacement and particle tracking velocimetry to monitor intracardiac blood flow. The integration of LFM and LSFM enabled the time-dependent tracking of the individual blood cells and the differential rates of segmental wall displacement during a cardiac cycle. Taken together, we demonstrated a hybrid system, coupled with our image analysis pipeline, to simultaneously capture the myocardial wall motion with intracardiac blood flow during cardiac development.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Animals
Computational Biology
Embryo, Nonmammalian diagnostic imaging
Embryo, Nonmammalian physiology
Image Processing, Computer-Assisted
Microscopy, Fluorescence
Myocardial Contraction physiology
Myocardium metabolism
Zebrafish growth & development
Zebrafish physiology
Blood Flow Velocity physiology
Heart diagnostic imaging
Heart growth & development
Heart physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1553-7358
- Volume :
- 17
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- PLoS computational biology
- Publication Type :
- Academic Journal
- Accession number :
- 34228702
- Full Text :
- https://doi.org/10.1371/journal.pcbi.1009175