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Bioinformatical analysis of the complex multidimensional microscopy datasets
Backová, Lenka ; Černý, Jan (advisor) ; Čapek, Martin (referee)
Microscopy is embedded in the history of life sciences and vice versa. Recent advances in the field present new challenges as new revolutionary technologies arise. Sample prepa- ration, microscope operation and data analysis have become particularly demanding re- quiring specific interdisciplinary expertise. Bioimaging data analysis is computationally demanding, as microscopy technologies can easily acquire data of exceptional size, often in terabytes. Correct analysis requires computer vision knowledge, as well as knowledge of studied biological systems and last, but not least deep understanding of microscopy technology. Tools available for the analysis of the imaging data vary from open-source customizable software with a coverage of multiple tasks to a task specific proprietary software. To choose the best tools for the analysis, analysts should know their options and tasks at hand. In bioimage analysis the tasks needed to be employed depend on the desired outcome and the acquisition technology. Amongst the possible tasks to con- sider belong deconvolution, segmentation and registration. Amount of approaches and algorithms available is progressively growing, resulting in a complex field, difficult to be easily familiar with. My thesis covers different microscopy technologies with emphasis on...
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