Applied Microscopy

Korean Society of Microscopy (한국현미경학회)
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Application of the Band-pass Filtering for Improving 3D Tomogram of Micron-thick Sections of Biological Specimens

생물시료의 3D Tomogram 정밀도 개선을 위한 Band-pass Filtering 활용

  • 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)
  • Received : 2012.06.05
  • Accepted : 2012.06.27
  • Published : 2012.06.30
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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

References

  1. Cichocki A, Amari S: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications. In: Using Bank of Adaptive Bandpass filter, pp. 202-204, John Wiley & Sons, New York, 2002.
  2. Frank J: Electron tomography: Methods for Three-Dimensional Visualization of Structures in the Cell. In: Principle of Electron Tomography, pp. 1-13, Springer, New York, 2006.
  3. Frank J, Radermacher M, Penczek P, Zhu J, Li Y, Ladjadj M, Leith A: SPIDER and WEB: processing and visualization of images in 3D electron microscopy and related field. J Struct Biol 116: 190-199, 1996. https://doi.org/10.1006/jsbi.1996.0030
  4. Kremer JR, Mastronarde DN, Mclntosh J: Computer visualization of three-dimensional image data using IMOD. J Struct Biol 116 : 71-76, 1996. https://doi.org/10.1006/jsbi.1996.0013
  5. Kweon HS, Beznoussenko GV, Micaroni M, Polishchuk RS, Trucco A, Martella O, Giandomenico D, Marra P, Fusella A, Pentima A, Berger EG, Geerts WJC, Koster AJ, Burger KNJ, Luini A, Mironov AA: Golgi enzymes are enriched in perforated zones of Golgi cisternae but are depleted in COPI. Mol Biol Cell 15 : 4710-4724, 2004. https://doi.org/10.1091/mbc.E03-12-0881
  6. Macro S, Boudier T, Messaoudi C, Rigaud JL: Electron tomography of biological samples. Biochem 69 : 1219-1225, 2004.
  7. McIntosh R, Nicastro D, Mastronarde DN: New views of cells in 3D: an introduction to electron tomography. Trends Cell Biol 15 : 43-51, 2005. https://doi.org/10.1016/j.tcb.2004.11.009
  8. Abramoff MD, Magalh-aes PJ, Ram SJ: Image processing with ImageJ. Biophotonics Intl 11 : 36-42, 2004.
  9. Moon JY, Lee KE, Han SS: Techniques for cryo-electron tomography in biological field. Kor J Microsc 38 : 73-79, 2008.
  10. Rhyu IJ, Park SN: A glance of tomography through 4th international congress on electron tomography. Kor J Microsc 38 : 275-278, 2008.
  11. Takaoka A, Hasegawa T, Yoshida K, Mori H: Microscopic tomography with ultra-HVEM and applications. Ultramicrosc 108 : 230-238, 2008. https://doi.org/10.1016/j.ultramic.2007.06.008