Sökning: "pipeline processing"
Visar resultat 1 - 5 av 56 avhandlingar innehållade orden pipeline processing.
1. Computerized Cell and Tissue Analysis
Sammanfattning : The latest advances in digital cameras combined with powerful computer software enable us to store high-quality microscopy images of specimen. Studying hundreds of images manually is very time consuming and has the problem of human subjectivity and inconsistency. LÄS MER
2. Implementation of digit-serial filters
Sammanfattning : In this thesis we discuss the design and implementation of Digital Signal Processing (DSP) applications in a standard digital CMOS technology. The aim is to fulfill a throughput requirement with lowest possible power consumption. LÄS MER
3. Image Analysis and Deep Learning for Applications in Microscopy
Sammanfattning : Quantitative microscopy deals with the extraction of quantitative measurements from samples observed under a microscope. Recent developments in microscopy systems, sample preparation and handling techniques have enabled high throughput biological experiments resulting in large amounts of image data, at biological scales ranging from subcellular structures such as fluorescently tagged nucleic acid sequences to whole organisms such as zebrafish embryos. LÄS MER
4. Protocols with Heterogeneous Real-Time Services for High-Performance Embedded Networks
Sammanfattning : Network protocols for applications that demand high performance and heterogeneous real-time services are presented. These protocols control the medium access to the network and offer additional features to the user, both different user services for traffic and services for parallel and distributed real-time processing. LÄS MER
5. The labyrinth of protein classification: a pipeline forselection and classification of biological data
Sammanfattning : Recent progress in fundamental biological sciences and medicine has considerably increased the quantity ofdata that can be studied and processed. The main limitation now is not retrieving data, but rather extractinguseful biological insights from the large datasets accumulated. LÄS MER