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Advanced methods for cardiac cells contour detection
Spíchalová, Barbora ; Čmiel, Vratislav (referee) ; Odstrčilík, Jan (advisor)
This thesis focuses on advanced methods of detecting contours of the cardiac cells and measuring their contraction. The theoretical section describes the types of confocal microscopes, which are used for capturing biological samples. The following chapter is devoted to the methods of cardiac cells segmentation, where we are introduced to the generally applied approaches. The most widely spread methods of segmentation are active contours and mathematical morphology, which are the crucial topics of this thesis. Thanks to the those methods we are able in the visual data to accurately detect required elements and measure their surface chnage in time. Acquired theoretical knowledge leads us to the practical realization of the methods in MATLAB.
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Identification of coding regions using DNA spectrogram analysis
Spíchalová, Barbora ; Provazník, Ivo (referee) ; Kubicová, Vladimíra (advisor)
The Bachelor’s Thesis deals with coding identification of coding regions using DNA spectrogram analysis. The theoretical part describes numerical representations of genomic data and methods for editing DNA sequences. The types of methods used for DNA spektrogram construction and characteristic patterns detected by spectrogram are described. The most used method for data processing is discrete Fourier transformation that enables us to scan sequences for required data. There is also a theoretical part about creating a spectrogram and a list of detected samples. Knowledge of this is used to program specific methods in Matlab. We created a program for detection of coding parts in Spectrogram and defining their accurate positions in the sequence. Acquired results are discussed and compared with the NCBI database at the end of this work.
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Identification of coding regions using DNA spectrogram analysis
Spíchalová, Barbora ; Provazník, Ivo (referee) ; Kubicová, Vladimíra (advisor)
The Bachelor’s Thesis deals with coding identification of coding regions using DNA spectrogram analysis. The theoretical part describes numerical representations of genomic data and methods for editing DNA sequences. The types of methods used for DNA spektrogram construction and characteristic patterns detected by spectrogram are described. The most used method for data processing is discrete Fourier transformation that enables us to scan sequences for required data. There is also a theoretical part about creating a spectrogram and a list of detected samples. Knowledge of this is used to program specific methods in Matlab. We created a program for detection of coding parts in Spectrogram and defining their accurate positions in the sequence. Acquired results are discussed and compared with the NCBI database at the end of this work.
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Advanced methods for cardiac cells contour detection
Spíchalová, Barbora ; Čmiel, Vratislav (referee) ; Odstrčilík, Jan (advisor)
This thesis focuses on advanced methods of detecting contours of the cardiac cells and measuring their contraction. The theoretical section describes the types of confocal microscopes, which are used for capturing biological samples. The following chapter is devoted to the methods of cardiac cells segmentation, where we are introduced to the generally applied approaches. The most widely spread methods of segmentation are active contours and mathematical morphology, which are the crucial topics of this thesis. Thanks to the those methods we are able in the visual data to accurately detect required elements and measure their surface chnage in time. Acquired theoretical knowledge leads us to the practical realization of the methods in MATLAB.
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