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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Polina Golland and Richard T. Lee.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Cruz, Francisco (Francisco Ui)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2007-04-03T17:05:58Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2007-04-03T17:05:58Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2005</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2006</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/37051</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">79476436</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2006.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaf 41).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Cell morphology of tissue is naturally three-dimensional. Most current methods for tissue analysis use two dimensional histological images of the tissue samples, restricting the analysis to 2D. Existing approaches do not provide essential three-dimensional information such as cell volume, shape and structural orientation of cells within the tissue. This thesis investigates a method to extract three dimensional data using two-dimensional microscopy. We demonstrate that three dimensional cell structure can be acquired using two dimensional fluorescence microscopy and two-photon microscopy and explore the application of the analysis to studies of cardiac tissue.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Francisco Cruz.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">55 leaves</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Volumetric reconstruction of tissue structure from two-dimensional microscopy images</dim:field>
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   	&lt;Title>Volumetric reconstruction of tissue structure from two-dimensional microscopy images&lt;/Title>
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   	&lt;PublicationDate>2006&lt;/PublicationDate>
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   	&lt;Abstract>Cell morphology of tissue is naturally three-dimensional. Most current methods for tissue analysis use two dimensional histological images of the tissue samples, restricting the analysis to 2D. Existing approaches do not provide essential three-dimensional information such as cell volume, shape and structural orientation of cells within the tissue. This thesis investigates a method to extract three dimensional data using two-dimensional microscopy. We demonstrate that three dimensional cell structure can be acquired using two dimensional fluorescence microscopy and two-photon microscopy and explore the application of the analysis to studies of cardiac tissue.&lt;/Abstract>
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