New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
Author | : Stegmaier, Johannes |
Publisher | : KIT Scientific Publishing |
Total Pages | : 264 |
Release | : 2017-02-08 |
ISBN-10 | : 9783731505907 |
ISBN-13 | : 3731505908 |
Rating | : 4/5 (908 Downloads) |
Download or read book New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty written by Stegmaier, Johannes and published by KIT Scientific Publishing. This book was released on 2017-02-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.