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Title: A novel 3D wavelet based filter for visualizing features in noisy biological data

Journal Article · · Journal of Microscopy
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We have developed a 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 denoising 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.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
15020089
Report Number(s):
UCRL-JRNL-208907; TRN: US200519%%173
Journal Information:
Journal of Microscopy, Vol. 219, Issue 2
Country of Publication:
United States
Language:
English

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59 BASIC BIOLOGICAL SCIENCES
CRYOGENICS
ELECTRON MICROSCOPY
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