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        <datestamp>2023-07-10</datestamp>
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          <dc:subject>nonlinear optics</dc:subject>
          <dc:subject>optical imaging</dc:subject>
          <dc:subject>nonlinear interferometric vibrational imaging</dc:subject>
          <dc:subject>coherent anti-Stokes Raman scattering</dc:subject>
          <dc:subject>breast cancer</dc:subject>
          <dc:title>Nonlinear interferometric vibrational imaging for applications in the study and diagnosis of breast cancer</dc:title>
          <dc:contributor>Boppart, Stephen A.</dc:contributor>
          <dc:creator>Benalcazar, Wladimir A.</dc:creator>
          <dc:date>2010-05-19T18:39:34Z</dc:date>
          <dc:date>2010-05-19T18:39:34Z</dc:date>
          <dc:date>2010-05-19T18:39:34Z</dc:date>
          <dc:description>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.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-07T17:59:11Z
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          <dc:identifier>http://hdl.handle.net/2142/16169</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2010 Wladimir Benalcazar</dc:rights>
          <dc:date>2010-5</dc:date>
          <degree>
            <department>Electrical &amp; Computer Eng</department>
            <departmentCode>1933</departmentCode>
            <discipline>Electrical &amp; Computer Engr</discipline>
            <disciplineCode>1200</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
            <program>PHD:Electr &amp; Computer Eng-UIUC</program>
            <programCode>10KS1200PHD</programCode>
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