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Title: Label-free quantitative measurement of cardiovascular dynamics in a zebrafish embryo using frequency-comb-referenced-quantitative phase imaging
Authors: Boonruangkan, Jeeranan
Farrokhi, Hamid
Rohith, Thazhe Madam
Kwok, Samuel
Carney, Tom J.
Su, Pei-Chen
Kim, Young-Jin
Keywords: Science::Medicine
Engineering::Mechanical engineering
Issue Date: 2021
Source: Boonruangkan, J., Farrokhi, H., Rohith, T. M., Kwok, S., Carney, T. J., Su, P. & Kim, Y. (2021). Label-free quantitative measurement of cardiovascular dynamics in a zebrafish embryo using frequency-comb-referenced-quantitative phase imaging. Journal of Biomedical Optics, 26(11), 116004-1-116004-11.
Project: NRF-NRFF2015-02 
Journal: Journal of Biomedical Optics 
Abstract: Significance: Real-time monitoring of the heart rate and blood flow is crucial for studying cardiovascular dysfunction, which leads to cardiovascular diseases. Aim: This study aims at in-depth understanding of high-speed cardiovascular dynamics in a zebrafish embryo model for various biomedical applications via frequency-comb-referenced quantitative phase imaging (FCR-QPI). Approach: Quantitative phase imaging (QPI) has emerged as a powerful technique in the field of biomedicine but has not been actively applied to the monitoring of circulatory/cardiovascular parameters, due to dynamic speckles and low frame rates. We demonstrate FCR-QPI to measure heart rate and blood flow in a zebrafish embryo. FCR-QPI utilizes a high-speed photodetector instead of a conventional camera, so it enables real-time monitoring of individual red blood cell (RBC) flow. Results: The average velocity of zebrafish’s RBCs was measured from 192.5 to 608.8 μm∕s at 24 to 28 hour-post-fertilization (hpf). In addition, the number of RBCs in a pulsatile blood flow was revealed to 16 cells/pulse at 48 hpf. The heart rates corresponded to 94 and 142 beats-per-minute at 24 and 48 hpf. Conclusions: This approach will newly enable in-depth understanding of the cardiovascular dynamics in the zebrafish model and possible usage for drug discovery applications in biomedicine.
ISSN: 1083-3668
DOI: 10.1117/1.JBO.26.11.116004
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
School of Mechanical and Aerospace Engineering 
Rights: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.26.11.116004]
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles
MAE Journal Articles

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