Paper
15 March 2006 Topological analysis of 3D cell nuclei using finite element template-based spherical mapping
E. Gladilin, S. Goetze, J. Mateos-Langerak, R. van Driel, R. Eils, K. Rohr
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Abstract
Topological analysis of cells and subcellular structures on the basis of image data is one of the major trends in modern quantitative biology. However, due to the dynamic nature of cell biology, the optical appearance of different cells or even time series of the same cell is undergoing substantial variations in shape and texture which makes the analysis of image data a non-trivial task. In the absence of canonical invariances, a natural approach to the normalization of cell images consists in dimension reduction of the 3D problem by means of spherical mapping which enables the analysis of targeted regions in terms of radial distances. In this work, we present a finite element template-based approach for physically-base spherical mapping which has been applied for topological analysis of confocal laser scanning microscopy images of cell nuclei.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Gladilin, S. Goetze, J. Mateos-Langerak, R. van Driel, R. Eils, and K. Rohr "Topological analysis of 3D cell nuclei using finite element template-based spherical mapping", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444V (15 March 2006); https://doi.org/10.1117/12.650260
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Cited by 2 scholarly publications.
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KEYWORDS
Spherical lenses

3D image processing

Optical spheres

Image segmentation

Confocal laser scanning microscopy

3D acquisition

Finite element methods

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