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- W2978602203 abstract "The present-day interactive manual selection of biological molecules from digitized micrographs for single particle averaging and reconstruction requires substantial effort and time. Thus a computer algorithm capable of recognition of structural content and selection of particles would be desirable.A few approaches have been proposed in the past. The method by Frank and Wagenknecht is based on the principle of correlation search. Van Heel's method is based on the computation of the local variance over a small area around each point of the image field. The method by Harauz and Fong-Lochovsky is based on edge-detection. The present work was focussed on the detection and classification of particlesby exploiting the standard statistical methods of discriminant analysis. The proposed technique is described in the block diagram (Fig.1). As illustrated in the figure, the program consists of three distinct segments devoted to, respectively, preparation of the data, training session and automatic selection based on a discriminant function set up in the training, hi the data preparation segment, the micrograph is (i) reduced four-fold in size, (ii) low-pass filtered and (iii) run through a peak search algorithm." @default.
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- W2978602203 date "1994-01-01" @default.
- W2978602203 modified "2023-09-27" @default.
- W2978602203 title "Automatic particle picking from electron micrographs" @default.
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- W2978602203 doi "https://doi.org/10.1017/s0424820100168347" @default.
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