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dc.contributor.advisor Kelly, Kevin F.
dc.creatorSatira, Zachary
dc.date.accessioned 2014-10-14T14:33:05Z
dc.date.available 2014-10-14T14:33:05Z
dc.date.created 2013-12
dc.date.issued 2013-07-02
dc.date.submitted December 2013
dc.identifier.citation Satira, Zachary. "Theoretical Investigation of Material Properties Affecting Coherent Anti-Stokes Raman Scattering Microendoscopy." (2013) Master’s Thesis, Rice University. https://hdl.handle.net/1911/77554.
dc.identifier.urihttps://hdl.handle.net/1911/77554
dc.description.abstract Physicians in clinical settings are constantly seeking label-free imaging modalities with superior sensitivity and resolution. Coherent anti-Stokes Raman scattering (CARS) has demonstrated great clinical potential, but complicated optics and poor conversion efficiency of CARS signal photons has limited the use of endoscopic CARS. Optimization of optical systems for maximal signal collection for rapid, low noise endoscopic imaging is essential. In vivo CARS imaging collects a large backscattered signal from forward CARS, obscuring structures with dimensions similar to the excitation wavelength. This is the first model to accurately determine the effect of scattering in multiple tissue types on CARS imaging. By characterizing the radial location of the backward CARS signal from sub-wavelength features and backscattered forward CARS signals from larger scatterers, methods are developed to collect both images simultaneously. Numerical methods are utilized to demonstrate how the focusing objective, focal depth, collection method, and object of interest impact CARS imaging.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectFiber Bundle
Monte Carlo simulations
Coherent anti-Stokes Raman Scattering
CARS
Tissue Scattering
Microendoscopy
dc.title Theoretical Investigation of Material Properties Affecting Coherent Anti-Stokes Raman Scattering Microendoscopy
dc.contributor.committeeMember Wong, Stephen T. C.
dc.contributor.committeeMember Robinson, Jacob T.
dc.contributor.committeeMember Grande-Allen, K. Jane
dc.date.updated 2014-10-14T14:33:07Z
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Electrical and Computer Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science


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