Sökning: "Cell Identification"
Visar resultat 1 - 5 av 110 uppsatser innehållade orden Cell Identification.
1. Hormonal Influence on the Proliferation Potential of C17.2 Neuronal Progenitor Cells
Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The brain is arguably the most complex organ of the body: Controlling muscles, maintaining homeostasis, processing information. It has the longest developmental period of any organ, and hormones are essential during its development. LÄS MER
2. Studies of broad-spectrum inhibitors against main protease of SARS-CoV-2 and other Coronaviruses
Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologiSammanfattning : Coronaviruses have caused three large outbreaks in the past century. The most recent one, also still ongoing, is represented by the SARS-CoV-2/Covid-19 pandemic. Efforts have been taken to develop efficient vaccines and antivirals and one of the major virus-based targets in drug development is represented by the main protease of these viruses. LÄS MER
3. Characterization of Antigenic Properties of Two Immunogenic Proteins of Streptococcus pneumoniae
Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologiSammanfattning : The bacterium Streptococcus pneumoniae (pneumococcus), is considered to be a leading cause of morbidity and mortality globally, particularly in infants and the elderly. It is one of the most frequent causes of respiratory tract infections, which sporadically have the potential to develop into serious invasive symptoms including sepsis and meningitis. LÄS MER
4. Computational prediction of cell-cell interactions in the brain-tumour microenvironment
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. LÄS MER
5. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms
Master-uppsats, KTH/KemiSammanfattning : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). LÄS MER