Search for dissertations about: "automated microscopy"
Showing result 1 - 5 of 58 swedish dissertations containing the words automated microscopy.
-
1. Towards subcellular localization of the human proteome using bioimaging
Abstract : Since the publication of the complete sequence of the human genome in 2003 there has been great interest in exploring the functions of the proteins encoded by the genes. To reveal the function of each and every protein, investigation of protein localization at the subcellular level has become a central focus in this research area, since the localization and function of a protein is closely related. READ MORE
-
2. Automated super-resolution microscopy for high-throughput imaging
Abstract : Fluorescence microscopes enable the visualization of biological samples with high contrast by labeling specific structures with fluorescent molecules. However, the spatial resolution of widely used microscopy techniques, such as widefield and confocal microscopy, is limited by the size of a focused spot of light, which roughly corresponds to half the wavelength of the illumination. READ MORE
-
3. Automated Photoluminescence Experimentation for Understanding Dynamic Metal-Halide Perovskite Semiconductors
Abstract : Metal halide perovskites have garnered significant attention for their remarkable optoelectronic properties and unique photophysical characteristics. Combined with low cost for fabrication, this new class of materials is among the most promising candidates within next generation photovoltaic technologies. READ MORE
-
4. Deep Neural Networks and Image Analysis for Quantitative Microscopy
Abstract : Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and microscopy imaging is one of the most informative ways to study biology. However, analysis of large numbers of samples is often required to draw statistically verifiable conclusions. READ MORE
-
5. Statistical methods in single particle fluorescence microscopy
Abstract : The aim of this thesis is stochastic modeling and statistical inference in single particle fluorescence microscopy related to the experimental observation of randomly moving particles. A central theme is the use of single particle microscopy for estimation of absolute concentration of nanoparticles performing Brownian motion. READ MORE