Abstract
A morphological filtering algorithm based on the Minkowski Functionals in 3D for segmentation of macromolecular structures in intact eukaryotic cells depicted by cryo-electron tomography, was proposed. The 3D image data of an ice-embedded Dictyostelium amoeba directly grown on an electron microscopy grid was analyzed. The specimen is scanned by low dose transmission electron microscopy employing a CM 300 FEG TEM with a single axis tilt series of -50° to + 41.5° at an increment of 1.5°. A 3D reconstruction is obtained by weighted back-projection. Mathematical topology employs additive image functionals, to assign numeric quantities to the shape and connectivity of patterns formed by the pixels in an image.
Original language | English |
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Article number | 62 |
Pages (from-to) | 606-613 |
Number of pages | 8 |
Journal | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
Volume | 5747 |
Issue number | I |
DOIs | |
State | Published - 2005 |
Event | Medical Imaging 2005 - Image Processing - San Diego, CA, United States Duration: 13 Feb 2005 → 17 Feb 2005 |
Keywords
- Cryo-electron Tomography
- Cytoskeleton
- Minkowski Functionals
- Segmentation