<?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>2026-09-20T18:44:20Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/78443" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/78443</identifier><datestamp>2022-01-13T07:54:01Z</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" lang="en_US">Mehmet Fatih Yanik.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Chang, Tsung-Yao, Ph. D. Massachusetts Institute of Technology</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">2013-04-12T19:24:24Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-04-12T19:24:24Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/78443</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">831437348</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.</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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">High-throughput screening (HTS) is seen as one of the most promising technologies to facilitate biomedical studies and pharmaceutical discoveries. Although large varieties of in vitro HTS technologies have opened great opportunities, the speed of improvement has been limited by lack of advanced tools for in vivo screening on whole complex organisms, such as vertebrates. To address this issue, a high-throughput platform as a vertebrate total analysis/screening system (V-TAS) is proposed. This platform consists of two independent parts: an automated imaging system and an automated microinjection system. These two systems are designed for general high-content high-throughput pharmaceutical and genetic screens on whole zebrafish larvae, and therefore, are well-modularized for adapting different situations. Furthermore, to demonstrate the capability of V-TAS, a screen of lipidoid library for biologics delivery on thousands of animals was conducted. Very limited damage to the larvae was shown during the screening. In the end, the author also validated the hits discovered by V-TAS can be applied to more advanced animal models such as rats, and be more predictable than cell-based assays.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Tsung-Yao Chang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">76 p.</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" 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">High-throughput vertebrate total analysis/screening platform</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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	&lt;Language>eng&lt;/Language>
   	&lt;Title>High-throughput vertebrate total analysis/screening platform&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Chang, Tsung-Yao, Ph. D. Massachusetts Institute of Technology&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>High-throughput screening (HTS) is seen as one of the most promising technologies to facilitate biomedical studies and pharmaceutical discoveries. Although large varieties of in vitro HTS technologies have opened great opportunities, the speed of improvement has been limited by lack of advanced tools for in vivo screening on whole complex organisms, such as vertebrates. To address this issue, a high-throughput platform as a vertebrate total analysis/screening system (V-TAS) is proposed. This platform consists of two independent parts: an automated imaging system and an automated microinjection system. These two systems are designed for general high-content high-throughput pharmaceutical and genetic screens on whole zebrafish larvae, and therefore, are well-modularized for adapting different situations. Furthermore, to demonstrate the capability of V-TAS, a screen of lipidoid library for biologics delivery on thousands of animals was conducted. Very limited damage to the larvae was shown during the screening. In the end, the author also validated the hits discovered by V-TAS can be applied to more advanced animal models such as rats, and be more predictable than cell-based assays.&lt;/Abstract>
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