  SARS-CoV-2 has characteristics of wide contagion and quick propagation
velocity. To analyse the visual information of it, we build a SARS-CoV-2
Microscopic Image Dataset (SC2-MID) with 48 electron microscopic images and
also prepare their ground truth images. Furthermore, we extract multiple
classical features and novel deep learning features to describe the visual
information of SARS-CoV-2. Finally, it is proved that the visual features of
the SARS-CoV-2 images which are observed under the electron microscopic can be
extracted and analysed.
