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...
में बचाया:
| मुख्य लेखक: | |
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| स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
KIT Scientific Publishing
2017
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| विषय: | |
| ऑनलाइन पहुंच: | DOAB: download the publication DOAB: description of the publication |
| टैग: |
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| सारांश: | 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. |
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| भौतिक वर्णन: | 1 electronic resource (XII, 243 p. p.) |
| आईएसबीएन: | KSP/1000060221 9783731505907 |
| अभिगमन: | Open Access |