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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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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2753846/ https://www.ncbi.nlm.nih.gov/pubmed/19523199 http://dx.doi.org/10.1186/1471-2105-10-178 |