<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T17:51:16Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/120407" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/120407</identifier><datestamp>2022-01-13T07:54:01Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Seok-Hyun (Andy) Yun and Roger G. Mark.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Bernstein, Liane (Liane Sarah Bel)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department 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">2019-02-14T15:48:50Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-02-14T15:48:50Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/120407</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1083780302</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 73-77).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Optical coherence tomography (OCT) is a label-free optical imaging modality that allows non-invasive in-depth visualization of microscopic structures in samples. With a typical resolution of 10-15 [mu]m and a penetration of up to a few mm, OCT is widely used for medical diagnoses in fields such as ophthalmology and cardiology. However, the more common diagnostic tool in the microscopic regime of medical imaging is histology, an invasive technique requiring tissue biopsy. Its resolution can be as small as 0.2 [mu]m, allowing the visualization of subcellular structures. To help bridge this gap between OCT and histology, ultrahigh-resolution OCT systems have been developed, with resolutions on the order of 1 [mu]m. Yet their application remains limited, since they employ shorter-wavelength sources, reducing penetration in tissue. We have designed and built a spectral-domain ultrahigh-resolution, deep-penetration OCT system centered at 1290 nm with axial and lateral resolutions of 2 and 5 [mu]m, respectively. To our knowledge, this is the best axial resolution obtained for a highspeed OCT system centered this deeply in the infrared. We demonstrate imaging of the cardiac conduction system, which could eventually be used for intraoperative identification of conducting tissue. In addition, we show images of the corneo-scleral angle, which could help properly diagnose primary angle-closure glaucoma. Other potential applications are also discussed.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Liane Bernstein.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">77 pages</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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">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">Ultrahigh-resolution, deep-penetration spectral-domain optical coherence tomography</dim:field>
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   	&lt;Title>Ultrahigh-resolution, deep-penetration spectral-domain optical coherence tomography&lt;/Title>
   	&lt;Subtitle>Ultrahigh-resolution, deep-penetration spectral-domain OCT&lt;/Subtitle>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Optical coherence tomography (OCT) is a label-free optical imaging modality that allows non-invasive in-depth visualization of microscopic structures in samples. With a typical resolution of 10-15 [mu]m and a penetration of up to a few mm, OCT is widely used for medical diagnoses in fields such as ophthalmology and cardiology. However, the more common diagnostic tool in the microscopic regime of medical imaging is histology, an invasive technique requiring tissue biopsy. Its resolution can be as small as 0.2 [mu]m, allowing the visualization of subcellular structures. To help bridge this gap between OCT and histology, ultrahigh-resolution OCT systems have been developed, with resolutions on the order of 1 [mu]m. Yet their application remains limited, since they employ shorter-wavelength sources, reducing penetration in tissue. We have designed and built a spectral-domain ultrahigh-resolution, deep-penetration OCT system centered at 1290 nm with axial and lateral resolutions of 2 and 5 [mu]m, respectively. To our knowledge, this is the best axial resolution obtained for a highspeed OCT system centered this deeply in the infrared. We demonstrate imaging of the cardiac conduction system, which could eventually be used for intraoperative identification of conducting tissue. In addition, we show images of the corneo-scleral angle, which could help properly diagnose primary angle-closure glaucoma. Other potential applications are also discussed.&lt;/Abstract>
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