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Development of hyperspectral microscopy for improving the diagnostic accuracy in leukemia diagnosis

Gotsoulias Dimitrios

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URIhttp://purl.tuc.gr/dl/dias/0A6C861C-942B-4510-A175-83053C1EBFA5-
Identifierhttps://doi.org/10.26233/heallink.tuc.64945-
Languageen-
Extent83 pagesen
TitleDevelopment of hyperspectral microscopy for improving the diagnostic accuracy in leukemia diagnosisen
TitleΑνάπτυξη υπερφασματικού μικροσκοπίου για την βελτίωση της διαγνωστικής ακρίβειας στην διάγνωση λευχαιμίαςel
CreatorGotsoulias Dimitriosen
CreatorΓκοτσουλιας Δημητριοςel
Contributor [Thesis Supervisor]Balas Costasen
Contributor [Thesis Supervisor]Μπαλας Κωσταςel
Contributor [Committee Member]Garofalakis Minosen
Contributor [Committee Member]Γαροφαλακης Μινωςel
Contributor [Committee Member]Zervakis Michalisen
Contributor [Committee Member]Ζερβακης Μιχαληςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electronic and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
DescriptionDiploma Thesisen
Content SummarySpectral Imaging is a combination of Spectroscopy and Imaging. It is based on the acquisition of a collection of narrow spectral band images (Spectral cube). In Hematology, the May Grunwald-Giemsa (MG-G), a solution mixture of Eosin Y, Azure B and Methylene Blue stains, is commonly used for leukemia diagnosis in blood and bone marrow samples. Diagnosis is based on manual observation of stained tiles. This procedure is time consuming and subjective, as it depends on the experience and judgement of the observer-hematologist. In this diploma thesis, we present a novel Spectral Imaging Microscopy modality, for mapping the concentrations of MG-G substances. Partial Least Squares (PLS) regression algorithm is employed as most efficient in chemo-metrics. Using the spectral cube absorbance data the concentration of each stain is estimated per pixel. Using Dimensionality Reduction Analysis the minimum essential number of spectral bands is estimated, ensuring minimum loss in accuracy and much faster data analysis. Finally, four scaled concentration pseudo-color maps are produced, one for each substance of MG-G and one depicting the proportions of their concentrations, which are used for the identification of the leukemic cells, in an objective and reproducible diagnosis procedure.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2016-05-27-
Date of Publication2016-
SubjectHyperspectral imagingen
Bibliographic CitationDimitrios Gotsoulias, "Development of hyperspectral microscopy for improving the diagnostic accuracy in leukemia diagnosis", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2016en
Bibliographic CitationΔημήτριος Γκοτσούλιας, "Ανάπτυξη υπερφασματικού μικροσκοπίου για την βελτίωση της διαγνωστικής ακρίβειας στην διάγνωση λευχαιμίας", Διπλωματική Εργασία, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016el

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