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        <identifier>oai:www.ideals.illinois.edu:2142/73084</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Boppart, Stephen A.</dc:contributor>
          <dc:creator>Bower, Andrew</dc:creator>
          <dc:date>2015-01-21T19:59:15Z</dc:date>
          <dc:date>2015-01-21T19:59:15Z</dc:date>
          <dc:date>2017-01-22T10:15:37Z</dc:date>
          <dc:date>2014-12</dc:date>
          <dc:date>2015-01-21</dc:date>
          <dc:date>2014-12</dc:date>
          <dc:description>In recent years, many noninvasive, high-resolution biomedical optical imaging techniques based
on unique, yet complementary, contrast mechanisms have emerged. While each imaging
modality is able to elucidate certain properties of the particular sample under study, an integrated
approach in which all modalities are acquired in a simultaneous, co-registered manner can prove
advantageous in obtaining a more complete understanding of the sample under study. While this
multimodal approach to biomedical imaging is beginning to find more widespread use, thus far
most applications of these techniques have been purely qualitative, ignoring the incredibly dense,
multidimensional datasets acquired. This thesis presents the framework and several applications
of a quantitative model-based combinatorial analysis method. The analysis technique developed
provides a direct link between multimodal image contrast and physiological biomarkers.
Applications include identification of tissue constituents in fixed tissue slices and classification
of cell death mechanisms in a living engineered tissue sample.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2014-12-04T14:59:32Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:description>Embargo set by: Seth Robbins for item 73273
Lift date: 2017-01-21T19:59:39Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Limited Restriction Lifted for Item 73273 on 2017-01-22T10:15:37Z.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/73084</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2014 Andrew Bower</dc:rights>
          <dc:subject>Multimodal Microscopy</dc:subject>
          <dc:subject>Multiphoton Imaging</dc:subject>
          <dc:subject>Image Analysis</dc:subject>
          <dc:title>Model-based quantitative combinatorial optical microscopy for extracting clinical imaging biomarkers</dc:title>
          <dc:type>text</dc:type>
          <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>MS:Electr &amp; Computer Eng-UIUC</program>
            <programCode>10KS1200MS</programCode>
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