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- W3128832014 abstract "Abstract The development of drugs against pathogens that cause hemorrhagic fever, such as Marburg and Ebola virus, requires researchers to gather much information about the virus. The accelerating of the research process is of great interest; therefore a new algorithm was developed to analyze intracellular processes. The algorithm will classify the motion characteristics of subviral particles in fluorescence microscopic image sequences of Ebola or Marburg virusinfected cells. The classification is based on the calculation of mean squared displacement. The results look promising to distinguish different particle tracks in active and passive transport. The paper ends with a discussion." @default.
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- W3128832014 date "2020-09-01" @default.
- W3128832014 modified "2023-10-17" @default.
- W3128832014 title "Automatic Classification of the Movements of Directed and Undirected Subviral Particles" @default.
- W3128832014 doi "https://doi.org/10.1515/cdbme-2020-3038" @default.
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