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Optimization and characterization of a line-scan OCT for measuring hemodynamics of chicken embryo's developing heart with comparison to a point-scan OCT counterpart (Conference Presentation)
Author(s): Shau Poh Chong; Zhen Yu Ko; Nanguang Chen
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Paper Abstract

Hemodynamics is a critical factor for healthy embryonic and fetal development, and when altered, could result in congenital heart defects (CHD), the most common birth defect in the newborns. Previous studies have shown that the fluid mechanical forces in the blood flow during early cardiac development could influence overall morphogenesis of cardiovascular system. Though near-infrared light (NIR) point-scan OCT has been used to quantitatively assess the hemodynamics in the embryo, high speed visualization of the developing chicken embryo is still lacking. Here, we developed a line-scanning NIR OCT for high speed visualization of chicken embryo hemodynamics. The line-scanning approach also lowered the threshold of maximal exposure limit for the power delivered to the samples. The supercontinuum light source, with the output filtered to harness NIR wavelengths between 600 – 950 nm, will be used in the system. The noise performance of the supercontinuum light source will be characterized across different pulse repetition rates, camera exposure time, and wavelengths. A careful design of the spectrometer employing a low noise two-dimensional CMOS camera will be performed in order to optimize the maximal sensitivity and sensitivity rolloff. The effective performance of the line-scan OCT system will be compared to a point-scan OCT counterpart in term of maximal sensitivity, imaging speed, and contrast by imaging developing chicken embryo. The structural and functional information of dynamic cardiac tissue deformation and blood flow in ultrahigh spatiotemporal resolution will further enhance our understanding of the roles of hemodynamics and in embryonic development and in CHD.

Paper Details

Date Published: 14 March 2018
Proc. SPIE 10499, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXV, 104991G (14 March 2018); doi: 10.1117/12.2288204
Show Author Affiliations
Shau Poh Chong, National Univ. of Singapore (Singapore)
Zhen Yu Ko, National Univ. of Singapore (Singapore)
Nanguang Chen, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 10499:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXV
Thomas G. Brown; Carol J. Cogswell; Tony Wilson, Editor(s)

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