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

Von:

Stegmaier, Johannes [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing, 2017Beschreibung: 1 Online-Ressource (XII, 243 p.)ISBN:

9783731505907

Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: 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 imagesPPN: PPN: 1778570690Package identifier: Produktsigel: ZDB-94-OAB

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English