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Proceedings Paper

Visualization of 3D cell migration using high speed ultrahigh resolution optical coherence tomography
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Paper Abstract

Using high speed ultrahigh resolution optical coherence tomography (OCT) at 800nm, non-invasive 3D cellular imaging has been accomplished. Cellular resolution imaging on and within these types of substrates is not possible with conventional microscopy techniques such as interference contrast microscopy, and requires the use of fluorescent staining. It is possible to achieve data acquisition rates of 20,000 samples per second with OCT which, in combination with its high axial and transverse resolution (>2-3μm), allows it to be used as a non-invasive technique to analyze cell migration in 3D with time. Comparatively high penetration depth also makes OCT a uniquely suited imaging technique for visualization of cells within a 3D construct. In this paper it is demonstrated that it is possible to resolve ~10μm Dictyostelium discoideum cells, a well established and useful model for investigation of cell motility and chemotaxis, in 3D and follow them in time lapse using an 800nm ultrahigh resolution high speed frequency domain based OCT microscope. Ultimately, these visualization techniques could enable monitoring of cell behavior in regenerative medicine, for example tracking of individual cells within a cell scaffold.

Paper Details

Date Published: 24 February 2009
PDF: 7 pages
Proc. SPIE 7179, Optics in Tissue Engineering and Regenerative Medicine III, 717902 (24 February 2009); doi: 10.1117/12.809178
Show Author Affiliations
Sara Rey, Cardiff Univ. (United Kingdom)
Adrian Harwood, Cardiff Univ. (United Kingdom)
Boris Povazay, Cardiff Univ. (United Kingdom)
Bernd Hofer, Cardiff Univ. (United Kingdom)
Angelika Unterhuber, Cardiff Univ. (United Kingdom)
Boris Hermann, Cardiff Univ. (United Kingdom)
Wolfgang Drexler, Cardiff Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 7179:
Optics in Tissue Engineering and Regenerative Medicine III
Sean J. Kirkpatrick; Ruikang Wang, Editor(s)

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