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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/0A6C861C-942B-4510-A175-83053C1EBFA5 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.64945 | - |
| Language | en | - |
| Extent | 83 pages | en |
| Title | Development of hyperspectral microscopy for improving the diagnostic accuracy in leukemia diagnosis | en |
| Title | Ανάπτυξη υπερφασματικού μικροσκοπίου για την βελτίωση της διαγνωστικής ακρίβειας στην διάγνωση λευχαιμίας | el |
| Creator | Gotsoulias Dimitrios | en |
| Creator | Γκοτσουλιας Δημητριος | el |
| Contributor [Thesis Supervisor] | Balas Costas | en |
| Contributor [Thesis Supervisor] | Μπαλας Κωστας | el |
| Contributor [Committee Member] | Garofalakis Minos | en |
| Contributor [Committee Member] | Γαροφαλακης Μινως | el |
| Contributor [Committee Member] | Zervakis Michalis | en |
| Contributor [Committee Member] | Ζερβακης Μιχαλης | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Electronic and Computer Engineering | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών | el |
| Description | Diploma Thesis | en |
| Content Summary | Spectral 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 Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2016-05-27 | - |
| Date of Publication | 2016 | - |
| Subject | Hyperspectral imaging | en |
| Bibliographic Citation | Dimitrios 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, 2016 | en |
| Bibliographic Citation | Δημήτριος 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, 2016 | el |
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