Sökning: "high throughput techniques"
Visar resultat 1 - 5 av 228 avhandlingar innehållade orden high throughput techniques.
1. Automated super-resolution microscopy for high-throughput imaging
Sammanfattning : 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. LÄS MER
2. Improved Techniques for High-Throughput Molecular Diagnostics
Sammanfattning : The amount of information derived from sequencing the humangenome is leading to an exponential increase in the rate atwhich genes and genetic disorders are mapped and characterized.As a consequence, the demand for genetic testing is alsodramatically increasing. LÄS MER
3. Droplet microfluidics for high throughput biological analysis
Sammanfattning : Many areas of biological research increasingly perform large-scale analyses. In genomics the entire gene repertoire of an organism is analyzed. Proteomics attempts to understand the function and expression patterns of all proteins in a cell or organism. LÄS MER
4. Miniaturized Techniques for Protein Analysis
Sammanfattning : Proteins are a highly diversified group of molecules, andfor their study, advanced analytical tools are required. Inparticular, a need for high-throughput techniques has emergedin order to enable the characterization of large sets ofproteins. LÄS MER
5. Towards High-Throughput Phenotypic and Systemic Profiling of in vitro Growing Cell Populations using Label-Free Microscopy and Spectroscopy : Applications in Cancer Pharmacology
Sammanfattning : Modern techniques like automated microscopy and spectroscopy now make it possible to study quantitatively, across multiple phenotypic and molecular parameters, how cell populations are affected by different treatments and/or environmental disturbances. As the technology development at the instrument level often is ahead of the data analytical tools and the scientific questions, there is a large and growing need for computational algorithms enabling desired data analysis. LÄS MER