University of Illinois Urbana-Champaign

Nonlinear interferometric vibrational imaging for applications in the study and diagnosis of breast cancer

Benalcazar, Wladimir A.

Content Files
Benalcazar_Wladimir.pdf

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https://hdl.handle.net/2142/16169

Description

Title
Nonlinear interferometric vibrational imaging for applications in the study and diagnosis of breast cancer
Author(s)
Benalcazar, Wladimir A.
Issue Date
2010-05-19T18:39:34Z
Director of Research (if dissertation) or Advisor (if thesis)
Boppart, Stephen A.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2010-05-19T18:39:34Z
Keyword(s)
  • nonlinear optics
  • optical imaging
  • nonlinear interferometric vibrational imaging
  • coherent anti-Stokes Raman scattering
  • breast cancer
Abstract
This thesis deals with the problem of developing a microscopy imaging technique with fast acquisition rates and label-free chemical selectivity for the study of tumor formation and its diagnosis in early stages of development. Spontaneous Raman scattering microscopy studies on human breast pathologies have led to models that characterize normal and cancerous breast tissue. This technique, however, is weak and requires long integration times, making it problematic as a clinical imaging tool. Coherent anti-Stokes Raman scattering (CARS) microscopy can improve the speed of acquisition and is more suitable for imaging, but at the cost of losing spectral information and generating unwanted background. As an advance, this thesis describes the technology of Nonlinear Interferometric Vibrational Imaging (NIVI), a CARS-based technique that uses two engineered femtosecond optical pulses and interferometric detection to retrieve broadband Raman signatures free of background. The performance of this technique is shown in the acquisition of spatial-spectral maps in material samples and mammary tissue. Results were validated by comparison with spontaneous Raman microscopy and bright field images of stained sections of the same tissues.
Graduation Semester
2010-5
Permalink
http://hdl.handle.net/2142/16169
Copyright and License Information
Copyright 2010 Wladimir Benalcazar

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