Svensson, Stina
- Centre for Image Analysis, Sveriges lantbruksuniversitet
Sammanfattning
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
Nyckelord
Cryo-ET; fuzzy distance; geometrical feature extraction
Publicerad i
Lecture Notes in Computer Science
2007, sidor: 173-180
Titel: Lecture Notes in Computer Science
Utgivare: Springer Berlin / Heidelberg
Konferens
12th International Conference on Computer Analysis of Images and Patterns
SLU författare
UKÄ forskningsämne
Molekylärbiologi
Publikationens identifierare
- DOI: https://doi.org/10.1007/978-3-540-74272-2_22
- ISBN: 978-3-540-74271-5
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/17120