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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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| Hovedforfatter: | |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2009
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| Fag: | |
| Online adgang: | 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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