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Spectral deconvolution and concentration mapping in complex biochemical stains

Abatzi Fani

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URIhttp://purl.tuc.gr/dl/dias/206CF5B6-2544-410B-8889-6600B8B14A79-
Identifierhttps://doi.org/10.26233/heallink.tuc.19671-
Languageen-
Extent125 pagesel
TitleSpectral deconvolution and concentration mapping in complex biochemical stainsen
CreatorAbatzi Fanien
CreatorΑμπατζη Φανηel
Contributor [Thesis Supervisor]Balas Costasen
Contributor [Thesis Supervisor]Μπαλας Κωσταςel
Contributor [Assistant]Epitropou Georgiosen
Contributor [Assistant]Επιτροπου Γεωργιοςel
Contributor [Committee Member]Zervakis Michalisen
Contributor [Committee Member]Ζερβακης Μιχαληςel
Contributor [Committee Member]Maravelaki Pagonaen
Contributor [Committee Member]Μαραβελακη Παγωναel
PublisherTechnical University of Creteen
PublisherΠολυτεχνείο Κρήτηςel
Academic UnitTechnical University of Crete::School of Electronic and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummarySpectral Imaging (SI) combines spectroscopy and imaging, enabling the acquisition of a stack of images at narrow spectral bands comprising the so-called spectral cube. A complete spectrum can be calculated for every image pixel from the multidimensional spatio-spectral space of the cube. This study aims at identifying the concentration of solvents in mixtures of multiple biochemical stains with overlapping spectral signatures. More specifically, a series of experiments has been undertaken via experimental design arrangements (full factorial, face-centered & half factorial) employing both spectrum acquisition by spectrophotometer and spectral imaging acquisition. Furthermore, an extensive number of algorithmic methods, based on Beer Lambert's law generalization, including Classical Least Squares (CLS), Inverse Least Squares (ILS) with forward or backward selection, Principal Components Regression (PCR) and Partial Least Squares (PLS) has been implemented and applied to both simulated and experimental data. It was found that PLS can predict the concentrations in mixtures of two and three solvents with high accuracy on the datasets of spectral images. The combination of SI with concentration prediction algorithms can provide a valuable tool for quantitative assessment of the uptake of biological stains in histochemistry applications.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2014-07-10-
Date of Publication2014-
SubjectDeconvolution in spectrum analysisen
Subjectspectrum analysis deconvolutionen
Subjectdeconvolution in spectrum analysisen
Bibliographic CitationFani Abatzi, "Spectral deconvolution and concentration mapping in complex biochemical stains", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2014en
Bibliographic CitationΦανή Αμπατζή, "Spectral deconvolution and concentration mapping in complex biochemical stains", Διπλωματική Εργασία, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2014el

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