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Flexibility Description of the MET Protein Stalk Based on the Use of Non-uniform B-Splines

  • Magnus Gedda
  • Stina Svensson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)

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, β-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

Control Point Curve Segment Fuzzy Object Discrete Curve Discrete Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Magnus Gedda
    • 1
  • Stina Svensson
    • 1
  1. 1.Uppsala University/Swedish University of Agricultural Sciences, Centre for Image Analysis, Lägerhyddsvägen 2, SE-752 37, UppsalaSweden

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