Paper
24 February 2010 Design and modeling of a prototype fiber scanning CARS endoscope
Author Affiliations +
Proceedings Volume 7558, Endoscopic Microscopy V; 75580D (2010) https://doi.org/10.1117/12.842624
Event: SPIE BiOS, 2010, San Francisco, California, United States
Abstract
An endoscope capable of Coherent Anti-Stokes Raman scattering (CARS) imaging would be of significant clinical value for improving early detection of endoluminal cancers. However, developing this technology is challenging for many reasons. First, nonlinear imaging techniques such as CARS are single point measurements thus requiring fast scanning in a small footprint if video rate is to be achieved. Moreover, the intrinsic nonlinearity of this modality imposes several technical constraints and limitations, mainly related to pulse and beam distortions that occur within the optical fiber and the focusing objective. Here, we describe the design and report modeling results of a new CARS endoscope. The miniature microscope objective design and its anticipated performance are presented, along with its compatibility with a new spiral scanningfiber imaging technology developed at the University of Washington. This technology has ideal attributes for clinical use, with its small footprint, adjustable field-of-view and high spatial-resolution. This compact hybrid fiber-based endoscopic CARS imaging design is anticipated to have a wide clinical applicability.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Israël Veilleux, Michel Doucet, Patrice Coté, Sonia Verreault, Michel Fortin, Patrick Paradis, Sébastien Leclair, Ralph S. Da Costa, Brian C. Wilson, Eric Seibel, Ozzy Mermut, and Jean-François Cormier "Design and modeling of a prototype fiber scanning CARS endoscope", Proc. SPIE 7558, Endoscopic Microscopy V, 75580D (24 February 2010); https://doi.org/10.1117/12.842624
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Cited by 9 scholarly publications.
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KEYWORDS
Tissues

Endoscopes

Optical fibers

CARS tomography

Monte Carlo methods

Natural surfaces

Optics manufacturing

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