Upload a count matrix and get back per-cell distributions, data-driven filtering thresholds (median ± 3 MAD, not copied from a tutorial) and a list of things worth a second look. No account, no email required. Your file is deleted the moment the analysis finishes.
Genes, UMIs and mitochondrial fraction per cell, with the suggested cut-offs drawn on top.
Computed from your own distributions rather than the standard 200 / 2500 / 5% that fails on many tissues.
Missing mitochondrial annotation, undetected empty droplets, suspiciously shallow profiles, over-aggressive filtering.