Svensson, Stina
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Abstract
The MET protein controls growth, invasion, and metastasis in cancer cells and is thereby of interest to study, for example from a structural point of view. For individual particle imaging by Cryo-Electron Tomography of the MET protein, or other proteins, dedicated image analysis methods are required to extract information in a robust way as the images have low contrast and resolution (with respect to the size of the imaged structure). We present a method to identify the two parts of the MET protein, Beta-propeller and stalk, using a fuzzy framework. Furthermore, we describe how a representation of the MET stalk, denoted stalk curve, can be identified based on the use of non-uniform B-splines. The stalk curve is used to extract relevant geometrical information about the stalk, e.g., to facilitate curvature and length measurements
Keywords
Cryo-ET; fuzzy distance; geometrical feature extraction
Published in
Lecture Notes in Computer Science
2007, pages: 173-180
Title: Lecture Notes in Computer Science
Publisher: Springer Berlin / Heidelberg
Conference
12th International Conference on Computer Analysis of Images and Patterns
SLU Authors
UKÄ Subject classification
Molecular Biology
Publication identifier
- DOI: https://doi.org/10.1007/978-3-540-74272-2_22
- ISBN: 978-3-540-74271-5
Permanent link to this page (URI)
https://res.slu.se/id/publ/17120