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http://dx.doi.org/10.9729/AM.2012.42.2.105

Application of the Band-pass Filtering for Improving 3D Tomogram of Micron-thick Sections of Biological Specimens  

Ryu, Keun-Yong (Division of Electron Microscopic Research, Korea Basic Science Institute)
Kim, Mi-Jeong (Division of Electron Microscopic Research, Korea Basic Science Institute)
Choi, Ki-Joo (Division of Electron Microscopic Research, Korea Basic Science Institute)
Je, A-Reum (Division of Electron Microscopic Research, Korea Basic Science Institute)
Kim, Soo-Jin (Division of Electron Microscopic Research, Korea Basic Science Institute)
Lee, Chul-hyun (Division of Magnetic Resonance Research, Korea Basic Science Institute)
Jung, Hyun-Suk (Division of Electron Microscopic Research, Korea Basic Science Institute)
Park, Jong-Won (Information Communications Engineering Department, Chungnam National University)
Kweon, Hee-Seok (Division of Electron Microscopic Research, Korea Basic Science Institute)
Publication Information
Applied Microscopy / v.42, no.2, 2012 , pp. 105-109 More about this Journal
Abstract
Electron tomography (ET) of biological specimens is performed from a series of images obtained over a range of tilt angles in a transmission electron microscope. When using the high voltage electron microscope (HVEM), various noises appear in EM images acquired from thick sections by high voltage electron beam. In order to obtain an adequate result in electron tomograms that allow visualization of rather complex and mega-cellular structure such as brain tissue, it is necessary to remove the noise in each original tilt images of thick section. Using band-pass filtering of original tilt images, the filtered images are obtained and used to assemble a reconstructed tomogram. The qualified 3D tomogram from filtered images results in a considerable reduction of the noises compared to conventional tomogram. In conclusion, this study suggests that band-pass filtering is effective to improve the brightness and intensity of HVEM produced tomograms acquired from micron-thick sections of biological specimens.
Keywords
Band-pass filter; Electron tomography; High voltage electron microscope;
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Times Cited By KSCI : 2  (Citation Analysis)
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