suspect op• Data kinds: labels2d × image2d → table
• Call: import fullseye as fs; fs.ledger.seg_boundary_membrane_gap(labels, membrane, tau: 'float' = 0.2, min_len: 'int' = 60, normalize: 'bool' = True, ignore_zero: 'bool' = True) -> 'dict' (to call the implementation directly, import emproof; emproof.seg_boundary_membrane_gap(labels, membrane, tau: 'float' = 0.2, min_len: 'int' = 60, normalize: 'bool' = True, ignore_zero: 'bool' = True) -> 'dict'; from the registry, opsemproof.get("seg_boundary_membrane_gap"))
Suspected split: fraction of the boundary pixels between two adjacent labels whose membrane response is below tau. One row per adjacent pair.
Between cells there is always a membrane (a dark line). A boundary where the label changes without a membrane is the trace of a split that cut 1 cell into 2 (the straight line of seg_inject_split is exactly this). Pixels where different labels touch in the 4-neighbourhood are counted, and the membrane response of a boundary takes the stronger of the 2 sides. Prototype on CREMI sample A, artificial splits vs the rest: AUC 0.99 (tau 0.2, boundary length ≥ 60).
Columns: label_a / label_b (a < b) / length / gap_fraction / membrane_mean (descending by gap_fraction). Short boundaries under min_len px are not counted (a contact of a few pixels cannot say whether a membrane is there).
>>> table = seg_boundary_membrane_gap(labels, seg_membrane_response(raw))
>>> table["label_a"][0], table["label_b"][0], table["gap_fraction"][0] # the most suspicious pair
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_em_second_opinion — py -3.11 examples/poc_em_second_opinion.py
table as input)seg_synapse_partners · seg_wiring_variation · seg_synapse_nri · seg_wiring_exposure
suspect)*Provenance: emproof.py — EMPROOF operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.