Mr. Viktoras Mazeika Profile

Viktoras Mazeika

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Publications (6)

Proceedings Article | 6 June 2024 Poster

Visualizing densely interwoven fiber networks in biological tissues using Computational Scattered Light Imaging

Loes Ettema, Hamed Abbasi, Viktoras Mazeika, Mehdi Alizadeh, Virginijus Barzda, Miriam Menzel

Proceedings Volume PC12996, PC1299616 (2024) https://doi.org/10.1117/12.3016664

KEYWORDS: Scattered light, Biological imaging, Visualization, Tissues, Voxels, Microscopy, Light emitting diodes, Image resolution, Biological samples, Signal intensity

Proceedings Article | 13 March 2024 Presentation

Polarimetric third-harmonic generation microscopy for histopathology

Mykolas Maciulis, Viktoras Mazeika, Vilte Samsone, Lukas Kontenis, Edvardas Zurauskas, Vitalijus Karabanovas, Virginijus Barzda

Proceedings Volume PC12846, PC128460D (2024) https://doi.org/10.1117/12.3001641

KEYWORDS: Third harmonic generation, Second harmonic generation, Polarimetry, Microscopy, Histopathology, Visualization, Tissues, Image visualization, Connective tissue, Collagen

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Proceedings Article | 13 March 2024 Presentation

Origin of collagen chiral response in polarimetric second harmonic generation microscopy

Mehdi Alizadeh, Viktoras Mazeika, Danute Bulotiene, Vitalijus Karabanovas, Lukas Kontenis, Virginijus Barzda

Proceedings Volume PC12847, PC128470O (2024) https://doi.org/10.1117/12.3003060

KEYWORDS: Collagen, Second harmonic generation, Polarimetry, Microscopy, Laser radiation, Visualization, Statistical analysis, Diseases and disorders, Dichroic materials

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Proceedings Article | 13 March 2024 Presentation

Disorder in collagen at the tumor boundary investigated with double Stokes-Mueller polarimetric microscopy

Viktoras Mažeika, Mykolas Mačiulis, Lukas Kontenis, Mehdi Alizadeh, Masood Samim, Serguei Krouglov, Edvardas Žurauskas, Virginijus Barzda

Proceedings Volume PC12854, PC128540J (2024) https://doi.org/10.1117/12.3002404

KEYWORDS: Polarimetry, Collagen, Diseases and disorders, Tumors, Second harmonic generation, Cooccurrence matrices, Nonlinear susceptibility, Mueller matrices, Tissues, Polarization

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Proceedings Article | 30 May 2022 Presentation

Investigation of tumor extracellular matrix using polarimetric second-harmonic generation microscopy and texture analysis

Viktoras Mažeika, Mykolas Maciulis, Lukas Kontenis, Edvardas Zurauskas, Martynas Riauka, Mehdi Alizadeh, Kamdin Mirsanaye, Virginijus Barzda

Proceedings Volume PC12144, PC121440R (2022) https://doi.org/10.1117/12.2621392

KEYWORDS: Polarimetry, Second-harmonic generation, Tumors, Microscopy, Collagen, Polarization, Signal detection, Cancer, Pancreas, Microscopes

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Extracellular matrix (ECM) has important functions in cell proliferation, differentiation, and migration, which influence the development and progression of cancer. ECM in tumor microenvironment experiences changes in composition and structure that can appear early in tumor development and could serve as a biomarker for cancer diagnostics. In addition, some changes in ECM may correlate with the rate of tumor progression or its tendency to form metastases and would allow to predict future tumor development [1]. Collagen is an important structural protein found in ECM. It has a non-centrosymmetric structure, and, thus, can be easily visualized using second harmonic generation (SHG) microscopy. SHG microscopy employs certain polarimetric techniques to gain detailed information about the organization of collagen in various tissues [2]. In this work, polarimetric SHG microscopy is used to acquire collagen images from normal and cancerous regions of human colon and pancreas histological samples. Texture analysis is performed on SHG intensity and polarization images to characterize the distribution of ultrastructure parameters in the tissue. Significant differences are observed in collagen ultrastructure between normal and tumor areas. Further, collagen structures of colon and pancreas tumor microenvironments are compared to investigate relative differences in ECM organization between the tissues. Finally, a machine learning classifier is used to group the acquired images in tumor and normal groups. The results show potential for development of novel cancer diagnostic technique using polarimetric second harmonic generation microscopy and texture analysis. [1] Winkler, J. et al., “Concepts of extracellular matrix remodelling in tumour progression and metastasis”, Nat Commun 11, 5120 (2020). [2] Golaraei, A. et al., “Polarimetric second-harmonic generation microscopy of the hierarchical structure of collagen in stage I-III non-small cell lung carcinoma,” Biomed. Opt. Express 11, 1851-1863 (2020).

Proceedings Article | 30 May 2022 Presentation

Revealing chirality of biological structures using different polarimetric SHG microscopy techniques

Mehdi Alizadeh, Viktoras Mažeika, Mykolas Maciulis, Martynas Riauka, Virginijus Barzda

Proceedings Volume PC12144, PC121440Z (2022) https://doi.org/10.1117/12.2621611

KEYWORDS: Collagen, Second-harmonic generation, Polarimetry, Microscopy, Numerical modeling, Microscopes, Harmonic generation, Dichroic materials, Detector development, Cancer

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