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

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

Computer Science

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.

Stegmaier, Johannes

https://www.ksp.kit.edu/9783731505907

KIT Scientific Publishing

2017

Baihaqi

Creative Commons

PDF

English

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