• Media type: E-Book
  • Title: New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
  • Contributor: Stegmaier, Johannes [Author]
  • Published: [Erscheinungsort nicht ermittelbar]: KIT Scientific Publishing, 2017
  • Extent: 1 Online-Ressource (XII, 243 p.)
  • Language: English
  • ISBN: 9783731505907
  • Identifier:
  • Origination:
  • Footnote: English
  • Description: 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
  • Access State: Open Access