prof. Ing. Valentine Provazník, Ph.D.

1. Categorization of QRS complexes in the high frequency ECG signal

   The project is aimed to analysis of signals from high-frequency electrocardiograph (ECG), focusing on the detection of morphologically related QRS complexes and the identification of such complexes from the viewpoint of pathological beats. The theme includes development of methods of categorization QRS complex HF signals of multiple-lead ECG. Categorization is based on differences in the shape of QRS over all leads. It will use both the low-frequency region of ECG and high-frequency properties, which will significantly differ from current practice. For the processing of measured data, high sampling rate and high dynamics will be used. 12-lead ECG recordings will be measured at rest in a horizontal position in bed and will include both healthy volunteers and patients with cardiac ischemia, heart transplant and cardiac resynchronization therapy. A total of over 700 subjects. The project aims to design and implementation of methods for identifying different types of pathological changes of the cardiac conduction system and local structural changes infarction. The evaluation results will be correlated with other pathological findings and markers will be discussed and their diagnostic potential. PhD student will actively participate in the implementation of individual measurements.

   Tutor: Kolářová Jana, doc. Ing., Ph.D.

2. Gait analysis in rehabilitation

   Gait analysis in rehabilitation is irreplaceable. In clinical practice applies a subjective rating walk to diagnose the severity of the disease or injury. This work will focus on the selection of appropriate parameters and analysis of data from pressure sensors or other additional sensors that will be conducted in order to evaluate the effectiveness of selected rehabilitation process. The study will will be carried out in collaboration with the University Hospital at St. Anna. The results will be applied to the evaluation of rehabilitation procedures of persons with mobility disabilities. The topic is part of a project financially supported by the "International Centre for Clinical Research FNUSA-ICRC" No. CZ.1.05/1.1.00/02.0123.

   Tutor: Kolářová Jana, doc. Ing., Ph.D.

3. Image analysis from multimodal holographic microscope in cancer cells study

   This topic is focused on study of cell entosis and its relation to polyploid cells and resistance of tumor cell against treatment. This process will be studied mainly using a multimodal holographic microscope, which enables real morphology imaging together with properties and process imaging in fluorescent mode. The main part of this topic is the multimodal image analysis, which will cover cell detection, cell tracking, evaluation of selected parameters and cell classification. This topic will be solved in close cooperation with Department of Physiology, Faculty of Medicine, MU.

   Tutor: Kolář Radim, doc. Ing., Ph.D.

4. Methods of comprehensive genomic characterization of carcinoma

   The dissertation focuses on research methods for comprehensive genomic characterization of carcinomas by bioinformatics analysis of multi-platform data. A large database of NIH The Cancer Genome Atlas project will be used as a data source. It contains annotated samples of 11000 patients covering 33 types of tumors and whole-genome sequences of 1000 tumor samples. The methods will include analysis of gene copy number alternance, structural aberations, recurrent deletions and other types of gene somatic mutations. These genetic alterations will be correlated with other parameters (the patient's health status, tissue identification, mutation localization, etc.). Results dissertation will contribute to knowledge in the field of integrated genomic analysis and description of the genesis of tumors. The applicant is expected being highly interested in research work in the topic of dissertation, to be capable to learn bioinformatics methods, programming in appropriate environment and mastering basic methodology of processing and analysis of genomic data.

   Tutor: Provazník Valentine, prof. Ing., Ph.D.

5. Methods of microscope-based single-cell analysis for description of cell-cell heterogeneity

   The dissertation deals with the research methods of single-cell analysis for the study of distribution of cell-cell heterogeneity in cell cultures. The methods are based on fluorescence (confocal) microscopy. Protein expression will be studied in particular by simultaneous detection of proteins using appropriate tools for digital processing of microscopic images. Results of dissertation will contribute to the recognition of less explored causes of variability of protein expression in individual human cells of the same tissue. The applicant is expected being highly interested in research work in the topic of dissertation, to be capable to learn fluorescence microscopy methods, programming in appropriate environment and mastering basic methodology of image processing and analysis.

   Tutor: Provazník Valentine, prof. Ing., Ph.D.