Table 3.

Algorithm success rate on manually labeled dataset

Success rate (%)Precision (%)Recall (%)
ABLE67.567.567.5
CNMF63.460.766.5
Suite2p63.756.573.1
  • On a manually labeled dataset from the Neurofinder Challenge, we compare the performance of three segmentation algorithms: ABLE, CNMF (Pnevmatikakis et al., 2016), and Suite2p (Pachitariu et al., 2016), using the manual labels as ground truth.