seg_wiring_variation — EMPROOF `wiring` op

• データ種: labels2d × labels2d × table → table

• 呼び出し: import fullseye as fs; fs.ledger.seg_wiring_variation(a, b, synapses, spacing=None, background=0) (実装を直接呼ぶなら import segcompare; segcompare.seg_wiring_variation(a, b, synapses, spacing=None, background=0)、台帳から引くなら opsemproof.get("seg_wiring_variation"))

使い方

候補の分割が正解の配線図をどう壊すかを VOI で測る。シナプスの端で取る split / merge と、接続ごとに束ねた connection_split / connection_merge の 2 水準。

> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。

Two levels, both VOI split / merge (`synapses as in :func:seg_synapse_partners`):

• synapse ends (`split / merge, voi`): the segmentation VOI measured only

at the `2n synapse ends instead of every pixel. split` = two ends on one true

neuron now on different objects (the neuron was cut between its synapses); `merge`

= ends on different true neurons now on one object (they were glued). Cutting a

neuron whose `s ends divide s1 / s2 raises split` by exactly

`(s / 2n)·H2(s1 / s)`. Pixels far from any synapse cost nothing here.

• connections (`connection_split / connection_merge`): synapses grouped by

their (pre object, post object) pair — one true connection scattered over several,

or different true connections fused into one (synapses attributed to the wrong

partner). A connection with a single synapse cannot scatter, so this level is blind

to cuts that only rename a one-synapse connection; the ends level is not.

Provenance: the ends level is the "synapse VI" of Plaza, Scheffer & Chklovskii 2014

(*Focused proofreading*, arXiv:1409.1199; VI over the voxels carrying synaptic

annotations, implemented in NeuroProof, C++). The connection level, the lost-synapse

convention and the per-edit closed forms (`(s/2n)·H2(s1/s)` for a cut) are this module's. Synapses with an end on

`background` in the truth are dropped; in the candidate, each such synapse is lost

and counted in `n_lost` as its own singleton at both levels (not one shared

"background" object, which would fake a huge merge). Also returns `split_connections` (true connections

spread over 2+ candidate ones), `merged_connections` (candidate connections holding

synapses of 2+ true ones), `edges_a / edges_b and n` (synapses scored).

Raises `ValueError: as :func:seg_synapse_partners; shapes of a and b`

differ; no synapse left after dropping background in the truth.

詳しい使い方ガイド

• emproof ファミリガイド

参考(サンプルデータ・文献)

• サンプルデータカタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• poc_em_wiring_errors — py -3.11 examples/poc_em_wiring_errors.py

型が繋がる次の op(`table` を入力に取れる)

seg_synapse_partners · seg_synapse_nri · seg_wiring_exposure

同カテゴリ(`wiring`)

seg_synapse_partners · seg_synapse_nri · seg_wiring_exposure

*Provenance: segcompare.py — EMPROOF operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

seg_wiring_variation — EMPROOF wiring op

使い方