Paper
2 February 2009 Evaluation of membrane stacking in electron microscope images
Gilles Hermann, Argyro Karathanou, Jean-Luc Buessler, Jean-Philippe Urban
Author Affiliations +
Proceedings Volume 7251, Image Processing: Machine Vision Applications II; 725110 (2009) https://doi.org/10.1117/12.807268
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
The objective of our work is to develop a tool for automatic analysis of 2D membrane protein crystal images in Transmission Electron Microscopy (TEM). The success of crystallization experiments is evaluated at high magnification. The crystalline structure of a membrane can be observed when no other membranes are superposed. It is therefore necessary to identify mono-layer membranes. In this paper we introduce an algorithm that determines the stacking-level of membranes. Our method determines a quantum, a gray-level quantity that is characteristic of a non-stacked membrane. In this way we are able to label each region qualitatively and construct a stacking-level map that distinguishes from non-stacked to up to four-level stacked membranes. This map provides the regions that will trigger a new image acquisition at higher magnification.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gilles Hermann, Argyro Karathanou, Jean-Luc Buessler, and Jean-Philippe Urban "Evaluation of membrane stacking in electron microscope images", Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 725110 (2 February 2009); https://doi.org/10.1117/12.807268
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Crystals

Transmission electron microscopy

Image classification

Proteins

Quantum computing

Electron microscopes

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