<?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>2026-09-18T20:29:33Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/143262" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/143262</identifier><datestamp>2022-06-16T03:45:11Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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">Lee, Hakho</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Degani, Ismail</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">2022-06-15T13:08:04Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2022-06-15T13:08:04Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2022-02</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2022-03-04T20:47:54.068Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/143262</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="orcid">https://orcid.org/0000-0001-6210-1200</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">An effective way to combat cancer and infectious disease in resource-poor settings is to implement rapid and accurate diagnostic tests that can be administered at the point of care (POC). Developing such miniaturized, portable, and low-cost systems requires innovative approaches in both assay and device design. In this thesis, we construct a novel phase-sensitive "lock-in" amplifier (LIA) based on the Fast Walsh-Hadamard Transform (FWHT), and evaluate its ability to boost the signal-to-noise ratio of optical fluorescence signals. The LIA is designed to be resilient in challenging environments containing high/unpredictable ambient noise. We then develop two rapid diagnostic systems that pair this technology with isothermal CRISPR-Cas12a-based DNA/RNA amplification to detect clinically relevant targets with high specificity. Finally, we evaluate the clinical performance of our systems in detecting target genes for (1) SARS-CoV-2, the virus responsible for the COVID-19 pandemic, and (2) Human Papilloma Virus (HPV), the causal agent of cervical cancer.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
   <dim:field mdschema="dc" element="rights">Copyright MIT</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">http://rightsstatements.org/page/InC-EDU/1.0/</dim:field>
   <dim:field mdschema="dc" element="title">Signal Processing Techniques Applied to Biomedical Diagnostics</dim:field>
   <dim:field mdschema="dc" element="type">Thesis</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="mimetype">application/pdf</dim:field>
   <dim:field mdschema="mit" element="thesis" qualifier="degree">Doctoral</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="name">Doctor of Philosophy</dim:field>
   <dim:field mdschema="dspace" element="entity" qualifier="type">Publication</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
   <dim:field mdschema="cerif" element="openaire" authority="" confidence="-1">&lt;Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="395f8100-690e-46d5-a6ec-b83133ec7291">
	&lt;Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843&lt;/Type>
   	&lt;Title>Signal Processing Techniques Applied to Biomedical Diagnostics&lt;/Title>
   	&lt;PublishedIn>
    	&lt;Publication>
      	&lt;/Publication>
   	&lt;/PublishedIn>
   	&lt;PublicationDate>2022-02&lt;/PublicationDate>
   	&lt;Authors>
      	&lt;Author>
        	&lt;DisplayName>Degani, Ismail&lt;/DisplayName>
         	&lt;Affiliation>
         		&lt;OrgUnit>
         		&lt;/OrgUnit>
         	&lt;/Affiliation>
      	&lt;/Author>
	&lt;/Authors>
   	&lt;Editors>
	&lt;/Editors>
    &lt;Publishers>
        &lt;Publisher>
            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
            &lt;OrgUnit />
        &lt;/Publisher>
    &lt;/Publishers>
    &lt;License>http://rightsstatements.org/page/InC-EDU/1.0/&lt;/License>
   	&lt;Abstract>An effective way to combat cancer and infectious disease in resource-poor settings is to implement rapid and accurate diagnostic tests that can be administered at the point of care (POC). Developing such miniaturized, portable, and low-cost systems requires innovative approaches in both assay and device design. In this thesis, we construct a novel phase-sensitive &amp;quot;lock-in&amp;quot; amplifier (LIA) based on the Fast Walsh-Hadamard Transform (FWHT), and evaluate its ability to boost the signal-to-noise ratio of optical fluorescence signals. The LIA is designed to be resilient in challenging environments containing high/unpredictable ambient noise. We then develop two rapid diagnostic systems that pair this technology with isothermal CRISPR-Cas12a-based DNA/RNA amplification to detect clinically relevant targets with high specificity. Finally, we evaluate the clinical performance of our systems in detecting target genes for (1) SARS-CoV-2, the virus responsible for the COVID-19 pandemic, and (2) Human Papilloma Virus (HPV), the causal agent of cervical cancer.&lt;/Abstract>
	&lt;Access xmlns="http://purl.org/coar/access_right" 
    >
    &lt;/Access>
&lt;/Publication>
</dim:field>
</dim:dim>
</metadata></record></GetRecord></OAI-PMH>