Robust multivariate analysis methods for single cell Raman spectroscopy

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dc.contributor.authorKuklev, Nikita
dc.contributor.supervisorJirasek, Andrew
dc.date.accessioned2016-09-02T21:11:51Z
dc.date.available2016-09-02T21:11:51Z
dc.date.copyright2016en_US
dc.date.issued2016-09-02
dc.degree.departmentDepartment of Physics and Astronomyen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractUsefulness of a particular clinical assay is directly correlated with its ability to extract highest possible signal from available data. This is particularly relevant for personalized radiation therapy since early plan modifications confer greater benefits to treatment outcome. Recent studies have demonstrated capability of single-cell Raman microscopy to detect cellular radiation response at clinical (below 10Gy) doses, but only in certain strongly responding cell lines and after at least two day incubation. One possible cause is rather unoptimized signal processing used. This work investigates application of several advanced multivariate methods - weighted principal component analysis (WPCA), robust PCA, probabilistic PCA, and nonlinear PCA to increase radiation response signal. Representative datasets from strongly (H460 - human lung) and weakly (LNCaP - human prostate) responding cell lines were analysed in 0-50Gy and 0-10Gy dose ranges and results quantified to determine relative and absolute algorithm performance. It was found that with careful tuning, significant improvements in sensitivity and better signal separation could be achieved as compared to conventional PCA.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/7517
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.subjectMedical physicsen_US
dc.subjectMultivariate analysisen_US
dc.subjectRadiation biologyen_US
dc.subjectRaman spectroscopyen_US
dc.subjectRadiobiologyen_US
dc.subjectCancer therapyen_US
dc.subjectRaman microscopyen_US
dc.subjectPersonalized radiation therapyen_US
dc.titleRobust multivariate analysis methods for single cell Raman spectroscopyen_US
dc.typeThesisen_US

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