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A novel 3D wavelet-based filter for visualizing features in noisy biological data.

W C Moss·S Haase·J M Lyle·D A Agard·J W Sedat
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Abstract

Summary We have developed a three-dimensional (3D) wavelet-based filter for visualizing structural features in volumetric data. The only variable parameter is a characteristic linear size of the feature of interest. The filtered output contains only those regions that are correlated with the characteristic size, thus de-noising the image. We demonstrate the use of the filter by applying it to 3D data from a variety of electron microscopy samples, including low-contrast vitreous ice cryogenic preparations, as well as 3D optical microscopy specimens.

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AnimalsCentriolesCryoelectron MicroscopyEukaryotic CellsFiltrationMathematicsMicroscopyMicrotubulesTomographyTubulinJournal ArticleResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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W C Moss, S Haase, J M Lyle, D A Agard, J W Sedat. 2005. A novel 3D wavelet-based filter for visualizing features in noisy biological data.. https://doi.org/10.1111/j.1365-2818.2005.01492.x

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