Automated detection of very Low Surface Brightness galaxies in the Virgo
  Cluster
  We report the automatic detection of a new sample of very low surface
brightness (LSB) galaxies, likely members of the Virgo cluster. We introduce
our new software, {\tt DeepScan}, that has been designed specifically to detect
extended LSB features automatically using the DBSCAN algorithm. We demonstrate
the technique by applying it over a 5 degree$^2$ portion of the Next-Generation
Virgo Survey (NGVS) data to reveal 53 low surface brightness galaxies that are
candidate cluster members based on their sizes and colours. 30 of these sources
are new detections despite the region being searched specifically for LSB
galaxies previously. Our final sample contains galaxies with $26.0\leq\langle
\mu_{e}\rangle\leq28.5$ and $19\leq m_{g}\leq21$, making them some of the
faintest known in Virgo. The majority of them have colours consistent with the
red sequence, and have a mean stellar mass of $10^{6.3\pm0.5} M_{\odot}$
assuming cluster membership. After using {\tt ProFit} to fit S\'ersic profiles
to our detections, none of the new sources have effective radii larger than 1.5
Kpc and do not meet the criteria for ultra-diffuse galaxy (UDG) classification,
so we classify them as ultra-faint dwarfs.
