Observational studies of ultra-diffuse galaxies (UDGs) represent a significant challenge because of their very low surface brightnesses. A feasible approach is to identify future UDGs when their stars are still young. Using data mining, we found 12 such low-mass spatially extended quiescent galaxies in the Coma and Abell 2147 clusters in the SDSS legacy galaxy sample and followed them up using a new high-throughput Binospec spectrograph at the 6.5m MMT. Several of them exhibit signs of the recently finished ram pressure stripping. Here we describe our data analysis approach that uses spectroscopic and photometric measurements with a dedicated set of stellar population models, which include realistic chemical enrichment and star formation histories. From our analysis we can precisely estimate stellar mass-to-light ratios and dark matter content of UDGs.
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