Micro-Raman Imaging for Biology with Multivariate Spectral Analysis

Handle URI:
http://hdl.handle.net/10754/552537
Title:
Micro-Raman Imaging for Biology with Multivariate Spectral Analysis
Authors:
Malvaso, Federica ( 0000-0003-2165-0961 )
Abstract:
Raman spectroscopy is a noninvasive technique that can provide complex information on the vibrational state of the molecules. It defines the unique fingerprint that allow the identification of the various chemical components within a given sample. The aim of the following thesis work is to analyze Raman maps related to three pairs of different cells, highlighting differences and similarities through multivariate algorithms. The first pair of analyzed cells are human embryonic stem cells (hESCs), while the other two pairs are induced pluripotent stem cells (iPSCs) derived from T lymphocytes and keratinocytes, respectively. Although two different multivariate techniques were employed, ie Principal Component Analysis and Cluster Analysis, the same results were achieved: the iPSCs derived from T-lymphocytes show a higher content of genetic material both compared with the iPSCs derived from keratinocytes and the hESCs . On the other side, equally evident, was that iPS cells derived from keratinocytes assume a molecular distribution very similar to hESCs.
Advisors:
Di Fabrizio, Enzo ( 0000-0001-5886-4678 )
Committee Member:
Bakr, Osman M.; Rothenberger, Alexander
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Program:
Materials Science and Engineering
Issue Date:
5-May-2015
Type:
Thesis
Appears in Collections:
Theses; Physical Sciences and Engineering (PSE) Division; Materials Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.advisorDi Fabrizio, Enzoen
dc.contributor.authorMalvaso, Federicaen
dc.date.accessioned2015-05-10T11:42:02Zen
dc.date.available2015-05-10T11:42:02Zen
dc.date.issued2015-05-05en
dc.identifier.urihttp://hdl.handle.net/10754/552537en
dc.description.abstractRaman spectroscopy is a noninvasive technique that can provide complex information on the vibrational state of the molecules. It defines the unique fingerprint that allow the identification of the various chemical components within a given sample. The aim of the following thesis work is to analyze Raman maps related to three pairs of different cells, highlighting differences and similarities through multivariate algorithms. The first pair of analyzed cells are human embryonic stem cells (hESCs), while the other two pairs are induced pluripotent stem cells (iPSCs) derived from T lymphocytes and keratinocytes, respectively. Although two different multivariate techniques were employed, ie Principal Component Analysis and Cluster Analysis, the same results were achieved: the iPSCs derived from T-lymphocytes show a higher content of genetic material both compared with the iPSCs derived from keratinocytes and the hESCs . On the other side, equally evident, was that iPS cells derived from keratinocytes assume a molecular distribution very similar to hESCs.en
dc.language.isoenen
dc.subjectRaman Spectroscopyen
dc.subjectPrincipal Component Analysisen
dc.subjectCluster Analysisen
dc.subjectStem Cellsen
dc.subjectiPSCsen
dc.subjectK-Means Algorithmsen
dc.titleMicro-Raman Imaging for Biology with Multivariate Spectral Analysisen
dc.typeThesisen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
thesis.degree.grantorKing Abdullah University of Science and Technologyen_GB
dc.contributor.committeememberBakr, Osman M.en
dc.contributor.committeememberRothenberger, Alexanderen
thesis.degree.disciplineMaterials Science and Engineeringen
thesis.degree.nameMaster of Scienceen
dc.person.id129133en
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