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Analysis of neurite directionality
Plišková, Diana ; Čmiel, Vratislav (oponent) ; Odstrčilík, Jan (vedoucí práce)
The thesis is focused on the design of a suitable method for analyzing the directionality of neurites. Fluorescence microscopy images of neurons were used. Prior to segmentation, the images had to be preprocessed, using contrast adjustment, sharpening, and adaptive filtering using a Weiner filter.The individual proposals of segmentation methods consisted of simple thresholding, area growth and the use of morphological operations. Subsequent directionality analysis used the direction of the gradients in the image. The proposed method was also used as a classifier, which was able to segregate the respective images into classes according to the direction of the growth.
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Novel cancer biomarkers derived from quantitative phase imaging of biopsy cells
Plišková, Diana ; Týč, Matěj (oponent) ; Kolářová, Jana (vedoucí práce)
The main objective of this work is the development of novel cancer biomarkers usable in personalized treatments. To understand why this issue is important, a brief description of cancer, including statistical results over the past years, is provided. The work also describes individual methods of light microscopy that can be used in cell analysis and subsequent image processing consisting of segmentation, tracking, feature extraction and classification. In this work, the main cell features, such as cell motility and shape, are presented. These features can be potential biomarkers in the treatment of cancer.
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Analysis of neurite directionality
Plišková, Diana ; Čmiel, Vratislav (oponent) ; Odstrčilík, Jan (vedoucí práce)
The thesis is focused on the design of a suitable method for analyzing the directionality of neurites. Fluorescence microscopy images of neurons were used. Prior to segmentation, the images had to be preprocessed, using contrast adjustment, sharpening, and adaptive filtering using a Weiner filter.The individual proposals of segmentation methods consisted of simple thresholding, area growth and the use of morphological operations. Subsequent directionality analysis used the direction of the gradients in the image. The proposed method was also used as a classifier, which was able to segregate the respective images into classes according to the direction of the growth.
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Novel cancer biomarkers derived from quantitative phase imaging of biopsy cells
Plišková, Diana ; Týč, Matěj (oponent) ; Kolářová, Jana (vedoucí práce)
The main objective of this work is the development of novel cancer biomarkers usable in personalized treatments. To understand why this issue is important, a brief description of cancer, including statistical results over the past years, is provided. The work also describes individual methods of light microscopy that can be used in cell analysis and subsequent image processing consisting of segmentation, tracking, feature extraction and classification. In this work, the main cell features, such as cell motility and shape, are presented. These features can be potential biomarkers in the treatment of cancer.
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