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Found 5 swedish dissertations matching the above criteria.

2. 1. Bacterial identification by the 16S rRNA gene

   Author : Tobias Olofsson; Avdelningen för medicinsk mikrobiologi; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Livsmedelsteknik; Food and drink technology; Naturvetenskap; Natural science; mykologi; virologi; Mikrobiologi; mycology; virology; bacteriology; 16S rRNA; Microbiology; Identification; Bacteria; bakteriologi;

   Abstract : The identification and classification of bacteria was initially performed with morphological methods applied on cultivated bacteria. It was not until the mid 1970s, when sequences of ribosomal RNA were discovered to be useful for bacterial evolution, that a new era started. This method showed to be far more accurate for bacterial identification. READ MORE

4. 2. Systematics of Lactobacillus spp. of probiotic potential

   Author : Alejandra Vasquez; Avdelningen för medicinsk mikrobiologi; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mikrobiologi; bakteriologi; virologi; mykologi; Food and drink technology; Livsmedelsteknik; mycology; virology; bacteriology; Microbiology; bacteria; molecular-based identification; probiotics; systematics;

   Abstract : Lactobacillus is a heterogeneous bacterial genus comprising at present 91 species. The high species number often makes classification and identification difficult, especially as the taxonomy to a high degree has been based on phenotypical traits. READ MORE

5. 3. New methods for improving water management - Exploring the role of diatoms in ecosystems

   Author : Bonnie Bailet; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : Diatoms are photosynthetic microalgae which are well known to react quickly to environmental changes and are widely used as bioindicators within Water Framework Directive. However, diatom identification by light microscopy is time-consuming and error-prone, creating a need for alternative, faster and more reproducible methods for characterising diatom communities. READ MORE

6. 4. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning

   Author : Muhaddisa Barat Ali; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; glioma subtype classification; convolutional autoencoder; convolutional NN; multi-stream U-Net.; CycleGAN; 1p 19q codeletion; federated learning; IDH mutation; generative adversarial network; Deep learning;

   Abstract : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. READ MORE

7. 5. Revealing Secrets of Synaptic Protein Interactions : A Biosensor based Strategy

   Author : Christian Seeger; U Helena Danielson; Sarah Lummis; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Surface plasmon resonance; biosensor; AMPA receptor; GABAA receptor; ligand-gated ion channel; A-kinase anchoring protein; caldendrin; calmodulin; HIV; fragment based drug discovery; Biokemi; Biochemistry; Neuroscience; Neurovetenskap;

   Abstract : Protein interactions are the basis of synaptic function, and studying these interactions on a molecular level is crucial for understanding basic brain function, as well as mechanisms underlying neurological disorders. In this thesis, kinetic and mechanistic characterization of synaptic protein interactions was performed by using surface plasmon resonance biosensor technology. READ MORE