Article ID Journal Published Year Pages File Type
9268400 Journal of Clinical Virology 2005 12 Pages PDF
Abstract
Bispectral features and Gaussian mixture modelling of their probability density are shown to be effective in identifying viruses from electron microscope images. With the use of digital imaging in electron microscopes, this method can be fully automated.
Keywords
Related Topics
Life Sciences Immunology and Microbiology Applied Microbiology and Biotechnology
Preview
Identification of gastroenteric viruses by electron microscopy using higher order spectral features
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