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08 Segmentation and Proofreading
Technical Training: Nanoscale Connectomics
Session outcomes (60 minutes)
Classify merge, split, boundary, and identity errors reproducibly.
Prioritize corrections by expected scientific impact.
Connect proofreading actions to quantitative QC metrics.
Pedagogical arc
Model: error taxonomy + live correction logic.
Practice: triage and correction on mixed cases.
Consensus: adjudicate borderline errors.
Check: correction log with metric rationale.
Why proofreading is scientific QC
Correction policy determines analysis validity.
Error taxonomy visual
Enforce explicit error-class coding in logs.
Ultrastructure-informed correction
Synapse-aware correction checks
Organelle-assisted disambiguation
Boundary failure case
Show when to stop and escalate instead of over-correcting.
Identity-sensitive correction context
Metrics and release gates
VI
edge precision/recall
ERL
synapse-centric F1
Operational proofreading loop
Triage by expected downstream impact.
Correct with local + global consistency checks.
Update targeted metrics.
Route unresolved cases for adjudication.
Gate release on predefined thresholds.
Misconceptions to correct
"Fix easiest errors first."
"Global metric improvements guarantee biological validity."
"Automation removes need for human policy."
Activity
Submit one correction log containing:
error class,
before/after rationale,
metric impact expectation,
confidence and escalation status.
Rubric checkpoint
Pass: correction decision tied to error class and metric logic.
Strong: priority ranking aligned to scientific impact.
Flag: edits without audit trail or rationale.
External paper figure integration
Januszewski et al. 2018 FFN architecture/performance figures.
Segmentation benchmark (CREMI-style) error/metric figures.
Human-machine proofreading workflow figures from open platforms.
External inserted figure pair (open license)
Source URLs:
https://commons.wikimedia.org/wiki/Special:FilePath/Image-segmentation-example.jpg
https://commons.wikimedia.org/wiki/Special:FilePath/Image-segmentation-example-segmented.png
License: CC0 1.0 Universal Public Domain Dedication.
References and attribution
Internal visuals: Pat Rivlin + outreach module14 assets.
Journal-club tie-in:
https://doi.org/10.1038/s41592-018-0049-4