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Updated: Feb 10, 2026

Using Flow Cytometry to Detect and Quantitate Altered Blood Formation in the Developing Zebrafish
Published on: April 29, 2021
3D + time blood flow mapping using SPIM-microPIV in the developing zebrafish heart
Vytautas Zickus1, Jonathan M Taylor1
1School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK.
We developed SPIM-microPIV, a novel flow imaging system for 3D micron-scale in vivo measurements. This system quantified blood flow in zebrafish larvae, revealing key insights into cardiac function and fluid dynamics.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Developmental Biology
Background:
- Understanding in vivo blood flow dynamics is crucial for studying cardiovascular health.
- Existing methods often lack the resolution or temporal detail to capture complex flow patterns.
- Small animal models offer valuable platforms for investigating physiological processes.
Purpose of the Study:
- To introduce and validate SPIM-microPIV, a new system for high-resolution 3D in vivo flow imaging.
- To measure and analyze the 3D blood flow fields within a zebrafish larva during the cardiac cycle.
- To assess the system's utility for studying heart function and fluid-structure interactions.
Main Methods:
- Development of SPIM-microPIV, integrating light-sheet microscopy with micro-particle image velocimetry.
- Validation using a phantom experiment with controlled bead flow in a microtube.
- Application of optical gating techniques to capture 3D+time flow fields in a zebrafish larva using fluorescent red blood cells.
Main Results:
- Successful validation of the SPIM-microPIV system using a phantom.
- Acquisition of 3D flow fields at 31 distinct cardiac phases in a zebrafish larva.
- Quantification of a net pumped blood volume of 0.239 nL per beat through the atrium.
Conclusions:
- SPIM-microPIV provides high-quality in vivo flow measurements with 3D micron-scale resolution.
- The system enables detailed analysis of cardiac function and fluid dynamics in small animal models.
- This technology holds significant potential for advancing research in cardiovascular physiology and fluid-structure interactions.
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