Abstract
The research for new #medicines against pathogens of #hemorrhagic fevers like the Ebola or Marburg virus is a work intensive field in
pharmaceutical science. It requires an accurate knowledge of the
pathogens’ behaviors to assess the influences of new potential medicines
on them. In cooperation between the #Virology of the Philipps-University
in Marburg and the Institute for Biomedical Engineering at the
University for Applied Science in Gießen new algorithms for automatic
detection and classification of subviral particles in #fluorescence image
sequences were introduced. In this article a new method to analyze and
classify the temporal variations of motion patterns of #subviral particles
is presented.
For more articles on BJSTR Journals please click here: https://biomedres.us/
For more Medical Informatics Articles on BJSTR
Sliding Fractal Dimensions of #SubviralParticles in Fluorescence Image Sequences by Andreas Rausch in BJSTR
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