Linked Life Data

14643218

Source:http://linkedlifedata.com/resource/pubmed/id/14643218

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2003-12-3
pubmed:abstractText
Cryo-electron tomography is an imaging technique with an unique potential for visualizing large complex biological specimens. It ensures preservation of the biological material but the resulting cryotomograms are extremely noisy. Sophisticated denoising techniques are thus essential for allowing the visualization and interpretation of the information contained in the cryotomograms. Here a software tool based on anisotropic nonlinear diffusion is described for filtering cryotomograms. The approach reduces local noise and meanwhile enhances both curvilinear and planar structures. In the program a novel solution of the partial differential equation has been implemented, which allows a reliable estimation of derivatives and, furthermore, reduces computation time and memory requirements. Several criteria have been included to automatically select the optimal stopping time. The behaviour of the denoising approach is tested for visualizing filamentous structures in cryotomograms.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1047-8477
pubmed:author
pubmed:issnType
Print
pubmed:volume
144
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
152-61
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
An improved algorithm for anisotropic nonlinear diffusion for denoising cryo-tomograms.
pubmed:affiliation
Department of Computer Architecture and Electronics, University of Almería, 04120 Almería, Spain. jose@ace.ual.es
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't