Dr. Eleni Alexandratou Profile

Dr. Eleni Alexandratou

at National Technical Univ of Athens

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Author

Publications (18)

Proceedings Article | 11 August 2023 Paper

Comparative characterization of SiCl2Pc and its cyclodextrin complexes as photosensitizers in photodynamic therapy

Eleni Georgiopoulou, Eleni Kavetsou, Eleni Alexandratou, Anastasia Detsi, Konstantinos Politopoulos

Proceedings Volume 12627, 1262718 (2023) https://doi.org/10.1117/12.2670864

KEYWORDS: Photodynamic therapy, Fluorescence, Skin cancer, Molecules, Laser irradiation, Silicon, Oxygen, Cancer, Solubility, FT-IR spectroscopy

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SPIE Journal Paper | 25 June 2013

Nanotopography of collagen thin films in correlation with fibroblast response

Andreas Stylianou, Dido Yova, Eleni Alexandratou

JNP, Vol. 7, Issue 01, 073590, (June 2013) https://doi.org/10.1117/12.10.1117/1.JNP.7.073590

KEYWORDS: Collagen, Thin films, Atomic force microscopy, Mica, Luminescence, Nanostructuring, Nanostructured thin films, Microscopy, Optical fibers, Coating

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Proceedings Article | 19 February 2013 Paper

Atomic force imaging microscopy investigation of the interaction of ultraviolet radiation with collagen thin films

A. Stylianou, D. Yova, E. Alexandratou, A. Petri

Proceedings Volume 8594, 85940E (2013) https://doi.org/10.1117/12.2002460

KEYWORDS: Collagen, Ultraviolet radiation, Luminescence, Thin films, Atomic force microscopy, Surface roughness, Microscopy, Absorption, Tissues, Skin

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Proceedings Article | 17 July 2009 Paper

Evaluation of the PDT effect of Foscan and Fospeg in the LNCaP human prostate cancer cell line

A. Petri, M. Kyriazi, E. Alexandratou, M. Rallis, S. Gräfe, D. Yova

Proceedings Volume 7373, 73731I (2009) https://doi.org/10.1117/12.831881

KEYWORDS: Photodynamic therapy, Confocal microscopy, Prostate cancer, Luminescence, Laser scanners, Cancer, Tumors, Absorbance, Microscopes, Toxicity

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Proceedings Article | 8 July 2009 Paper

New approach in prostate Gleason grading using fluorescence microscopic imaging

Eleni Alexandratou, Dido Yova, Dimitris Gorpas

Proceedings Volume 7368, 73681J (2009) https://doi.org/10.1117/12.831584

KEYWORDS: Prostate cancer, Tissues, Confocal microscopy, Algorithm development, Prostate, Luminescence, Image analysis, Biopsy, Image processing, Tumors

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Proceedings Article | 28 February 2008 Paper

Texture analysis of tissues in Gleason grading of prostate cancer

Eleni Alexandratou, Dido Yova, Dimitris Gorpas, Petros Maragos, George Agrogiannis, Nikolaos Kavantzas

Proceedings Volume 6859, 685904 (2008) https://doi.org/10.1117/12.763377

KEYWORDS: Prostate cancer, Tissues, Statistical analysis, Biopsy, Algorithm development, Tumors, Cancer, Image analysis, Image classification, Feature selection

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Prostate cancer is a common malignancy among maturing men and the second leading cause of cancer death in USA. Histopathological grading of prostate cancer is based on tissue structural abnormalities. Gleason grading system is the gold standard and is based on the organization features of prostatic glands. Although Gleason score has contributed on cancer prognosis and on treatment planning, its accuracy is about 58%, with this percentage to be lower in GG2, GG3 and GG5 grading. On the other hand it is strongly affected by "inter- and intra observer variations", making the whole process very subjective. Therefore, there is need for the development of grading tools based on imaging and computer vision techniques for a more accurate prostate cancer prognosis. The aim of this paper is the development of a novel method for objective grading of biopsy specimen in order to support histopathological prognosis of the tumor. This new method is based on texture analysis techniques, and particularly on Gray Level Co-occurrence Matrix (GLCM) that estimates image properties related to second order statistics. Histopathological images of prostate cancer, from Gleason grade2 to Gleason grade 5, were acquired and subjected to image texture analysis. Thirteen texture characteristics were calculated from this matrix as they were proposed by Haralick. Using stepwise variable selection, a subset of four characteristics were selected and used for the description and classification of each image field. The selected characteristics profile was used for grading the specimen with the multiparameter statistical method of multiple logistic discrimination analysis. The subset of these characteristics provided 87% correct grading of the specimens. The addition of any of the remaining characteristics did not improve significantly the diagnostic ability of the method. This study demonstrated that texture analysis techniques could provide valuable grading decision support to the pathologists, concerning prostate cancer prognosis.

Proceedings Article | 13 July 2007 Paper

Photodynamic therapy of non melanoma skin cancer murine model by topical application of a novel mTHPC liposomal formulation

E. Alexandratou, M. Kyriazi, T. Trebst, S. Gräfe, D. Yova

Proceedings Volume 6632, 66320V (2007) https://doi.org/10.1117/12.728181

KEYWORDS: Photodynamic therapy, Tumors, Skin, Melanoma, Skin cancer, Tumor growth modeling, Imaging systems, Liver, Tissues, Digital imaging

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Proceedings Article | 13 July 2007 Paper

Photodynamic therapy of murine non-melanoma skin carcinomas with diode laser after topical application of aluminum phthalocyanine chloride

Maria Kyriazi, Eleni Alexandratou, Dido Yova, Michail Rallis, Tilmann Trebst

Proceedings Volume 6632, 66320W (2007) https://doi.org/10.1117/12.728203

KEYWORDS: Tumors, Photodynamic therapy, Skin, Tissues, Aluminum, Semiconductor lasers, Biopsy, Luminescence, Melanoma, Cancer

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SPIE Journal Paper | 1 May 2007 Open Access

Fluorescence and absorption assessment of a lipid mTHPC formulation following topical application in a non-melanotic skin tumor model

Ann Johansson, Jenny Svensson, Niels Bendsøe, Katarina Svanberg, Eleni Alexandratou, Maria Kyriazi, Dido Yova, Susanna Gräfe, Tilmann Trebst, Stefan Andersson-Engels

JBO, Vol. 12, Issue 03, 034026, (May 2007) https://doi.org/10.1117/12.10.1117/1.2743080

KEYWORDS: Luminescence, Absorption, Skin, Tissue optics, Tumors, Tissues, Photodynamic therapy, Absorption spectroscopy, Scattering, Tumor growth modeling

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Proceedings Article | 6 March 2006 Paper

Distribution studies of m-THPC after topical application of m-THPC thermogel in a murine non-melanoma skin cancer tumor model by fluorescence spectroscopic and imaging techniques

Eleni Alexandratou, Maria Kyriazi, Dido Yova, Susanna Gräfe, Tilmann Trebst, Ann Johansson, Katarina Svanberg, Niels Bendsoe, Stefan Anderson-Engels

Proceedings Volume 6139, 61390G (2006) https://doi.org/10.1117/12.646142

KEYWORDS: Luminescence, Fluorescence spectroscopy, Tumor growth modeling, Skin cancer, Tumors, Spectroscopy, Skin, In vivo imaging, Imaging spectroscopy, Photodynamic therapy

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Proceedings Article | 27 February 2006 Paper

mTHPC pharmacokinetics following topical administration

Ann Johansson, Jenny Svensson, Stefan Andersson-Engels, Niels Bendsoe, Katarina Svanberg, Irving Bigio, Eleni Alexandratou, Maria Kyriazi, Dido Yova, Susanna Gräfe, Tilmann Trebst

Proceedings Volume 6094, 60940C (2006) https://doi.org/10.1117/12.647602

KEYWORDS: Luminescence, Skin, Tissue optics, Absorption, Tumors, Photodynamic therapy, Tissues, Absorption spectroscopy, Imaging spectroscopy, Scattering

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Proceedings Article | 23 February 2006 Paper

Combined two-photon excited fluorescence and second harmonic generation imaging microscopy of collagen structures

Sotiris Psilodimitrakopoulos, George Filippidis, Christos Kouloumentas, Eleni Alexandratou, Dido Yova

Proceedings Volume 6089, 60891P (2006) https://doi.org/10.1117/12.644478

KEYWORDS: Second-harmonic generation, Collagen, Luminescence, Signal detection, Molecules, Nonlinear optics, Microscopy, Microscopes, Harmonic generation, Tissues

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Proceedings Article | 21 February 2006 Paper

Computer vision algorithms in DNA ploidy image analysis

Eleni Alexandratou, Anastasia Sofou, Haris Papasaika, Petros Maragos, Dido Yova, Nikolaos Kavantzas

Proceedings Volume 6088, 60880O (2006) https://doi.org/10.1117/12.646304

KEYWORDS: Image segmentation, Image filtering, Image analysis, Algorithm development, Nonlinear filtering, Machine vision, Computer vision technology, Tissues, Analytical research, Digital image processing

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Proceedings Article | 13 February 2006 Paper

A binocular machine vision system for non-melanoma skin cancer 3D reconstruction

Dimitris Gorpas, Kostas Politopoulos, Eleni Alexandratou, Dido Yova

Proceedings Volume 6081, 60810D (2006) https://doi.org/10.1117/12.643780

KEYWORDS: Cameras, Calibration, Tumors, 3D modeling, Machine vision, Lenses, Distortion, Imaging systems, Animal model studies, 3D image processing

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Proceedings Article | 8 October 2005 Paper

Kubelka-Munk theory based diagnostic algorithms to discriminate healthy and atherosclerotic animal model aorta

Dimitris Gorpas, Eleni Alexandratou, Kostas Politopoulos, Dido Yova

Proceedings Volume 5862, 586212 (2005) https://doi.org/10.1117/12.633043

KEYWORDS: Reflectivity, Diagnostics, Absorption, Algorithm development, Scattering, Diffuse reflectance spectroscopy, Animal model studies, Transmittance, Optical properties, Statistical analysis

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Proceedings Article | 16 October 2003 Paper

Intracellular photoinduced oxidative stress by zinc phthalocyanine photosensitization: a study of the early events in real time using confocal microscopy

Eleni Alexandratou, Dido Yova, Panagiotis Handris, Dimitris Kletsas, Spyros Loukas

Proceedings Volume 5142, (2003) https://doi.org/10.1117/12.500597

KEYWORDS: Calcium, Luminescence, Confocal microscopy, Oxygen, Zinc, Cell death, Microscopes, Image analysis, Image processing, Photodynamic therapy

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Proceedings Article | 3 November 2000 Paper

Low-power laser effects at the single-cell level: a confocal microscopy study

Eleni Alexandratou, Dido Yova, Vassilis Atlamazoglou, Panagiotis Handris, Dimitris Kletsas, Spyros Loukas

Proceedings Volume 4159, (2000) https://doi.org/10.1117/12.405919

KEYWORDS: Confocal microscopy, Luminescence, Microscopes, Adaptive optics, Calcium, Laser irradiation, In vivo imaging, Acquisition tracking and pointing, Molecules, Fetus

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Proceedings Article | 24 July 1998 Paper

Monte Carlo study of LSO y-ray detectors for PET

George Tzanakos, E. Monoyiou, Eleni Alexandratou

Proceedings Volume 3336, (1998) https://doi.org/10.1117/12.317087

KEYWORDS: Crystals, Sensors, Photons, Energy efficiency, Monte Carlo methods, Positron emission tomography, Absorption, Scintillators, Picosecond phenomena, Scintillation

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Showing 5 of 18 publications

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