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TOMOBFLOW: feature-preserving noise filtering for electron tomography

BACKGROUND: Noise filtering techniques are needed in electron tomography to allow proper interpretation of datasets. The standard linear filtering techniques are characterized by a tradeoff between the amount of reduced noise and the blurring of the features of interest. On the other hand, sophistic...

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Detalles Bibliográficos
Autor Principal: Fernandez, Jose-Jesus
Formato: Artigo
Idioma:Inglês
Publicado: BioMed Central 2009
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2753846/
https://ncbi.nlm.nih.gov/pubmed/19523199
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-178
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