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• W956186043 abstract "This chapter describes the stepwise application of these powerful image-processing tools to electron micrographs of the 50S ribosomal subunit of Escherichia coli. The information content of electron micrographs can be enhanced significantly by a posteriori image processing. This chapter also demonstrates that the analysis of mixed populations of images requires the use of multivariate statistical analysis and classification techniques. The chapter have described and demonstrated powerful techniques for analyzing noisy electron images of isolated macromolecules. The fundamental principle underlying each step of the analysis is the reduction of the effect of noise, whether by band-pass filtering, principal components analysis, or averaging similar images to provide better references for alignment. This chapter also determines objectively both flexibility of certain structural features and the potential existence of numerous distinct projection views in normal electron microscopical preparations of the E. coli 50S ribosomal subunit. With direct three-dimensional reconstruction techniques, these projections can be used to obtain the three-dimensional structure of the subunit." @default.
• W956186043 created "2016-06-24" @default.
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• W956186043 date "1988-01-01" @default.
• W956186043 modified "2023-10-16" @default.
• W956186043 title "[2] Statistical image analysis of electron micrographs of ribosomal subunits" @default.
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• W956186043 doi "https://doi.org/10.1016/s0076-6879(88)64033-x" @default.
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