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Johannes Stegmaier

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

AutorStegmaier, Johannes

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731505907

UmfangXII, 243 S.

Veröffentlicht
am:
08.02.2017

Erscheinungs-
jahr
2017

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000060221

Abstract

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.