- Ergebnisse als:
- Druckansicht
- Endnote (RIS)
- BibTeX
- Tabelle: CSV | HTML
Bücher und Buchkapitel
Bücher und Buchkapitel
Leitbild und Forschungsprofil
Molekulare Signalverarbeitung
Natur- und Wirkstoffchemie
Biochemie pflanzlicher Interaktionen
Stoffwechsel- und Zellbiologie
Unabhängige Nachwuchsgruppen
Program Center MetaCom
Publikationen
Gute Wissenschaftliche Praxis
Forschungsförderung
Netzwerke und Verbundprojekte
Symposien und Kolloquien
Alumni-Forschungsgruppen
Publikationen
Bücher und Buchkapitel
The microtubule cytoskeleton plays important roles in cell morphogenesis. To investigate the mechanisms of cytoskeletal organization, for example, during growth or development, in genetic studies, or in response to environmental stimuli, image analysis tools for quantitative assessment are needed. Here, we present a method for texture measure-based quantification and comparative analysis of global microtubule cytoskeleton patterns and subsequent visualization of output data. In contrast to other approaches that focus on the extraction of individual cytoskeletal fibers and analysis of their orientation relative to the growth axis, CytoskeletonAnalyzer2D quantifies cytoskeletal organization based on the analysis of local binary patterns. CytoskeletonAnalyzer2D thus is particularly well suited to study cytoskeletal organization in cells where individual fibers are difficult to extract or which lack a clearly defined growth axis, such as leaf epidermal pavement cells. The tool is available as ImageJ plugin and can be combined with publicly available software and tools, such as R and Cytoscape, to visualize similarity networks of cytoskeletal patterns.
Bücher und Buchkapitel
Morphological analysis of cell shapes requires segmentation of cell contours from input images and subsequent extraction of meaningful shape descriptors that provide the basis for qualitative and quantitative assessment of shape characteristics. Here, we describe the publicly available ImageJ plugin PaCeQuant and its associated R package PaCeQuantAna, which provides a pipeline for fully automatic segmentation, feature extraction, statistical analysis, and graphical visualization of cell shape properties. PaCeQuant is specifically well suited for analysis of jigsaw puzzle-like leaf epidermis pavement cells from 2D input images and supports the quantification of global, contour-based, skeleton-based, and pavement cell-specific shape descriptors.