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

By Johannes Stegmaier

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1013281780
• ISBN13: 9781013281785
• Release Date: October 2020
• Publisher: Saint Philip Street Press
• Length: 262 Pages
• Weight: 1.35 lbs.
• Dimensions: 0.6" x 8.5" x 11.0"