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

• Tác giả: Johannes Stegmaier
• Ngôn ngữ: eng
• ISBN-13: 978-3731505907
• ISBN: KSP/1000060221
• Ký hiệu phân loại: 570 Life sciences Biology
• Thông tin xuất bản: Karlsruhe : KIT Scientific Publishing, 2017
• Mô tả vật lý: 1 electronic resource (XII, 243 p. p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 223590

Tóm tắt

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.