Automahout hands cell-tracking judgement to an agent: no human input on three public datasets, TRA 0.95–0.96
Cell tracking has long depended on a person deciding, dataset by dataset, what to annotate, when to train, what went wrong and when to stop. Automahout, an autonomous agent on the Mastodon/ELEPHANT platform from RIKEN, first tries existing detectors; where none fits it annotates reference cells, trains a detector from those sparse annotations, reviews the output against them and feeds corrections back, then links the lineage. On three public datasets it ran with no human input and reached TRA of 0.95–0.96.