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Proceedings Paper

Processing Of Noisy High Resolution Electron Micrographs Of Crystalline Biological Membranes
Author(s): Suzanne B. Luscher
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Paper Abstract

The problems associated with the interpretation of structure preserving low-dose electron micrographs have been solved for crystalline biological specimens by using specialized image processing routines. Fourier domain techniques are used to extract the periodic signal component. Hardly visible in the noisy unprocessed micrograph, the periodic structure becomes manifest by the discrete reflexions in the power spectrum. The SNR of the images is improved by averaging over a large number of unit cells or identical "motifs". A local average is performed as a first step in analogy to optical filtering. A stricter averaging is achieved by use of crystallographic methods where one phase and amplitude pair is established for each reflexion in the Fourier plane. Particularly reliable amplitudes and phases, however, are obtained by using the additional redundancy due to the intrinsic symmetry properties characteristic for all biological membrane components (mainly P3, P4, P6). The different filtering methods and symmetrisation procedures have been applied to noisy, low contrast electron micrographs of crystalline sheets of various biological specimens. The increase in interpretability and reliability of structure determination is demonstrated at the different stages of processing.

Paper Details

Date Published: 17 March 1983
PDF: 9 pages
Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); doi: 10.1117/12.965970
Show Author Affiliations
Suzanne B. Luscher, Institut fur Kommunikationstechnik (Switzerland)


Published in SPIE Proceedings Vol. 0359:
Applications of Digital Image Processing IV
Andrew G. Tescher, Editor(s)

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