New Methods to Improve Large-Scale Microscopy Image Analysis With Prior Knowledge and Uncertainty
Author | : Johannes Stegmaier |
Publisher | : |
Total Pages | : 260 |
Release | : 2020-10-09 |
ISBN-10 | : 1013281799 |
ISBN-13 | : 9781013281792 |
Rating | : 4/5 (792 Downloads) |
Download or read book New Methods to Improve Large-Scale Microscopy Image Analysis With Prior Knowledge and Uncertainty written by Johannes Stegmaier and published by . This book was released on 2020-10-09 with total page 260 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.