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Proceedings Paper

Optical fiber based imaging of bioengineered tissue construct
Author(s): Etai Sapoznik; Guoguang Niu; Peng Lu; Yu Zhou; Yong Xu; Shay Soker
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Paper Abstract

Imaging cells and tissues through opaque and turbid media is challenging and presents a major barrier for monitoring maturation and remodeling of bioengineered tissues. The fiber optics based imaging system described here offers a new approach for fluorescent cell imaging. A micro imaging channel is embedded in a Polycaprolactone (PCL) electrospun scaffold designed for cell seeding, which allows us to use an optical fiber to locally deliver excitation laser close to the fluorescent cells. The emission is detected by an Electron Multiplying Charge Coupled Device (EMCCD) detector and image reconstruction of multiple excitation points is achieved with a working distance of several centimeters. The objective of this study is to assess the effects of system parameters on image reconstruction outcomes. Initial studies using fluorescent beads indicated that scaffold thickness had a small effect on image quality, whereas scaffold composition (collagen content), fluorophore spectra, and the reconstruction window size had a large effect. The results also suggest that a far-red fluorescent emission is preferential when using collagenous scaffolds with a thickness of up to 500 μm. Using these optimized parameters, we were able to image fluorescently labeled cells on a scaffold with a resolution of 15-20 μm, and have also measured muscle progenitor cell differentiation and scaffold surface coverage with endothelial cells. In the future, this imaging platform can be applied to other bioengineered tissues for non-invasive monitoring both in vitro and in vivo.

Paper Details

Date Published: 6 April 2016
PDF: 13 pages
Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 97111H (6 April 2016); doi: 10.1117/12.2208953
Show Author Affiliations
Etai Sapoznik, Wake Forest Institute for Regenerative Medicine (United States)
Virginia Tech-Wake Forest Univ. School of Biomedical Engineering and Sciences (United States)
Wake Forest Baptist Health (United States)
Guoguang Niu, Wake Forest Institute for Regenerative Medicine (United States)
Peng Lu, Virginia Tech (United States)
Yu Zhou, Wake Forest Institute for Regenerative Medicine (United States)
Yong Xu, Virginia Tech (United States)
Shay Soker, Wake Forest Institute for Regenerative Medicine (United States)
Virginia Tech-Wake Forest Univ. School of Biomedical Engineering and Sciences (United States)
Wake Forest Baptist Health (United States)


Published in SPIE Proceedings Vol. 9711:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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