Authors:
Birgit Möller
;
Oliver Greß
;
Nadine Stöhr
;
Stefan Hüttelmaier
and
Stefan Posch
Affiliation:
Martin-Luther-University Halle-Wittenberg, Germany
Keyword(s):
Active contours, Snakes, Wavelets, Segmentation, Fluorescent microscope images.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Segmentation and Grouping
;
Signal Processing, Sensors, Systems Modeling and Control
;
Wavelet Analysis
Abstract:
Microscope imaging is an indispensable tool in modern systems biology.
In combination with fully automatic image analysis it allows for valuable insights into
biological processes on the sub-cellular level and fosters understanding of biological systems.
In this paper we present two new techniques for automatic segmentation of cell areas and included sub-cellular
particles. A new cascaded and intensity-adaptive segmentation scheme based on coupled active contours
is used to segment cell areas. Structures on the sub-cellular level, i.e.~stress granules and processing
bodies, are detected applying a scale-adaptive wavelet-based detection technique. Combining these results
allows for complementary analysis of biological
processes.
It yields new insights into interactions between different particles and distributions
of particles
among different cells.
Our experimental evaluations based on ground-truth
data prove the high-quality of our segmentation results regardi
ng these aims and open perspectives towards
deeper insights into biological systems on the sub-cellular level.
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