Proposal of alignment-independent classification of electron microscopic images with helical symmetry and its application to reconstituted thin filaments os skeletal muscle.
A new method to classify noisy images of filaments with helical symmetry was developed and applied to cryo-electron microscopic images of skeletal muscle thin filaments. In this method, images are transformed to minimum data sets which are independent of the relative view parameters, such as rotation of a three-dimensional object around the axis of helical symmetry, translation along an axis and operation to make a filament upside down, and classified by a principal component analysis. By this method, atypical data can be identified without aligning procedures, and small structural changes and polymorphic variation are expected to be detected objectively.
Ishikawa
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T
Department of Physics, School of Science, University of Tokyo, Japan.
Wakabayashi
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D008841:Actin Cytoskeleton / Q000737:chemistry / Q000648:ultrastructure*; D000199:Actins / Q000032:analysis; D000818:Animals; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D008854:Microscopy, Electron; D018482:Muscle, Skeletal / Q000648:ultrastructure*; D011817:Rabbits; D014335:Tropomyosin / Q000032:analysis
D000199:Actins; D014335:Tropomyosin