New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

• Autore: Stegmaier Johannes
• Pubblicazione: KIT Scientific Publishing, 2017
• Descrizione fisica: 1 online resource (XII, 243 p. p.)
• Soggetto non controllato: 3D Bildanalyse; Algorithmen; Algorithms; Data Mining; Developmental Biology; Entwicklungsbiologie; Software; Software3D Image Analysis
• Sommario/riassunto: Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced data sets in the terabyte-range, however, can hardly be analyzed manually and require an extensive use of automated image analysis. The present work introduces a new concept for the estimation and propagation of uncertainty involved in image analysis operators and new segmentation algorithms that are suitable for terabyte-scale analyses of 3D+t microscopy images.
• Titolo autorizzato: New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
• ISBN: 1000060221
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346767303321
• Lo trovi qui: Univ. Federico II