| Literature DB >> 20802209 |
J R Bilbao-Castro1, C O S Sorzano, I García, J J Fernández.
Abstract
SUMMARY: Interpretation of electron tomograms is difficult due to the high noise levels. Thus, denoising techniques are needed to improve the signal-to-noise ratio. XMSF (Microscopy Mean Shift Filtering) is a fast, user-friendly application that succeeds in filtering noise while preserving the structures of interest. It is based on the extension to 3D of a method widely applied in other image processing fields under very different scenarios. XMSF has been tested for a variety of tomograms, showing a great potential to become a state-of-the-art filtering program in electron tomography. Applied iteratively, the algorithm yields pre-segmented volumes facilitating posterior segmentation tasks. Moreover, execution times remain low thanks to parallel computing techniques to exploit current multicore computers. AVAILABILITY: http://sites.google.com/site/xmsfilter/Mesh:
Year: 2010 PMID: 20802209 DOI: 10.1093/bioinformatics/btq496
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937