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

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 con...

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Bibliographic Details
Main Author: Stegmaier, Johannes (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2017
Subjects:
3D Bildanalyse
Algorithms
Software3D Image Analysis
Algorithmen
Data Mining
Entwicklungsbiologie
Software
Developmental Biology
Online Access:DOAB: download the publication
DOAB: description of the publication
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Summary: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.
Physical Description:1 electronic resource (XII, 243 p. p.)
ISBN:KSP/1000060221
9783731505907
Access:Open Access

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