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Proceedings Paper

Single image structured illumination (SISIM) for in-vivo imaging
Author(s): Zachary R. Hoffman; Kose Kivanc; Charles A. DiMarzio
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Paper Abstract

Recently, it has been demonstrated that sectioning within a turbid media using structured illumination microscopy can be greatly enhanced through the use of a Hilbert transform algorithm. This technique, known as single image structured illumination microscopy (SISIM), provides high quality sectioning even within a strongly refracting/scattering medium, such as tissue. It is found that motion artifacts comprise a large portion of the error in in-vivo imaging. Thus, we expand on the SISIM technique by implementing an image registration algorithm which greatly mitigates motion induced artifacts. Multiple images and movies are developed to demonstrate SISIMs ability to provide real-time, in-vivo imaging of human tissue.

Paper Details

Date Published: 23 February 2018
PDF: 6 pages
Proc. SPIE 10499, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXV, 1049918 (23 February 2018); doi: 10.1117/12.2285699
Show Author Affiliations
Zachary R. Hoffman, Northeastern Univ. (United States)
Kose Kivanc, Memorial Sloan Kettering Cancer Ctr. (United States)
Charles A. DiMarzio, Northeastern Univ. (United States)

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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