Paper
17 March 1983 Processing Of Noisy High Resolution Electron Micrographs Of Crystalline Biological Membranes
Suzanne B. Luscher
Author Affiliations +
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.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suzanne B. Luscher "Processing Of Noisy High Resolution Electron Micrographs Of Crystalline Biological Membranes", Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); https://doi.org/10.1117/12.965970
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KEYWORDS
Crystals

Photomicroscopy

Digital image processing

Reflection

Optical filters

Image processing

Diffraction

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