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Changes of microbial growth during use of face masks from different materials
Korvasová, Lucie ; Hoová, Julie (referee) ; Márová, Ivana (advisor)
Due to the current spread of Covid-19 disease, there are many types of respiratory protective equipment on the Czech market. However, due to the conditions that breath creates on the inside of the masks, they can be an ideal place for multiplication of microorganisms such as yeasts, moulds and especially bacteria. Since various protection masks differ in their production materials, bacteria colonization won’t always be the same. The subject of the thesis is a comparison of individual types of masks and respirators with regard to multiplication of microorganisms in their structure, which were tested using the contact stamp-form method on agar plates and in a liquid medium. Sterile environment was required during the work to avoid external contamination. Methods of imprinting on agar plates and the fact that turbidity and thus measurable absorbance increases with rising number of microorganisms were used to obtain the data. Result of the work was that face masks already contained some level of contamination from their production. As the best kind of face masks in terms of multiplication of microorganisms came out cotton, which prevented multiplying in the inoculated sphere. At the same time each growing culture was tested for viability, where it was determined how many viable cells each sample contained in comparison to a fully grown culture.
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Processing of MREG MRI data
Lampert, Frederik ; Mikl, Michal (referee) ; Gajdoš, Martin (advisor)
MR-encephalography (MREG) is an innovative method of ultrafast magnetic resonance imaging. Most of the publications about this method are concerning about acquisition and reconstruction of raw data. Studies dedicated to standardization of preprocessing MREG data have not been published yet, which led to motivation of creating this bachelor thesis. The main goal of this thesis is to set an optimal way of preprocessing MREG data, which could be advised for future studies utilizing this method. The main goal of this work was divided into several subgoals, consisting of making a literary review, implementation of general method for data preprocessing and suggesting an alternative ways of data preprocessing and their implementation into MATLAB programming language. Suggested ways of data preprocessing were evaluated by created criteria, described in this work. Results of the evaluation were discussed and interpreted by graphs. Based on the results of the evaluation, an optimal way for preprocessing data was set. It consists of movement and geometric distortion correction accomplished by SPM Realign & UNWARP function, spatial normalisation to EPI MNI template and spatial smoothing by Gaussian kernel.
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Changes of microbial growth during use of face masks from different materials
Korvasová, Lucie ; Hoová, Julie (referee) ; Márová, Ivana (advisor)
Due to the current spread of Covid-19 disease, there are many types of respiratory protective equipment on the Czech market. However, due to the conditions that breath creates on the inside of the masks, they can be an ideal place for multiplication of microorganisms such as yeasts, moulds and especially bacteria. Since various protection masks differ in their production materials, bacteria colonization won’t always be the same. The subject of the thesis is a comparison of individual types of masks and respirators with regard to multiplication of microorganisms in their structure, which were tested using the contact stamp-form method on agar plates and in a liquid medium. Sterile environment was required during the work to avoid external contamination. Methods of imprinting on agar plates and the fact that turbidity and thus measurable absorbance increases with rising number of microorganisms were used to obtain the data. Result of the work was that face masks already contained some level of contamination from their production. As the best kind of face masks in terms of multiplication of microorganisms came out cotton, which prevented multiplying in the inoculated sphere. At the same time each growing culture was tested for viability, where it was determined how many viable cells each sample contained in comparison to a fully grown culture.
|
|
|
Processing of MREG MRI data
Lampert, Frederik ; Mikl, Michal (referee) ; Gajdoš, Martin (advisor)
MR-encephalography (MREG) is an innovative method of ultrafast magnetic resonance imaging. Most of the publications about this method are concerning about acquisition and reconstruction of raw data. Studies dedicated to standardization of preprocessing MREG data have not been published yet, which led to motivation of creating this bachelor thesis. The main goal of this thesis is to set an optimal way of preprocessing MREG data, which could be advised for future studies utilizing this method. The main goal of this work was divided into several subgoals, consisting of making a literary review, implementation of general method for data preprocessing and suggesting an alternative ways of data preprocessing and their implementation into MATLAB programming language. Suggested ways of data preprocessing were evaluated by created criteria, described in this work. Results of the evaluation were discussed and interpreted by graphs. Based on the results of the evaluation, an optimal way for preprocessing data was set. It consists of movement and geometric distortion correction accomplished by SPM Realign & UNWARP function, spatial normalisation to EPI MNI template and spatial smoothing by Gaussian kernel.
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