Side Quests
Coherent bodies of work that are not prerequisites for anything. Do them because they are worth doing, not because a track told you to.
What a side quest is here
The tracks are the main paths: ordered, cumulative,
and designed so each one ends in a capability you can describe.
A side quest is different. It is a coherent body of work that does not sit on any
track’s critical path. Finishing one does not put you further along a track, and you
do not need to have finished a track to start one. It is worth doing on its own terms,
and in at least one case it is worth more to a lab than most of what surrounds it.
They are listed separately rather than folded into a track for a reason. Material
buried inside a sequence gets read as “step 7 of 12,” which is exactly the wrong frame
for something you might reasonably spend a month on and never touch the rest.
What there is
Two built, and one named because the gap is real, not because it is ready. Naming a
category and then padding it would defeat the point of having one.
The two built quests form a natural pair: the first trains the identification skill,
the second is the proofreading work that skill exists for. Each stands alone, but the
first ends exactly where the second’s hard prerequisite begins.
🔬
Available15–20 hours
The EM identification training behind competent proofreading: the compartment and glia cues from Units 05–07 pulled into one sequence, a unified axon–dendrite–glia decision checklist, a self-run calibration drill on a real public volume, and the mapping from anatomy cues to merge and split calls.
🔧
Available20–30 hours
Correcting automated reconstruction errors, treated properly: as an allocation problem under a fixed budget rather than as cleanup that ends when the data looks right. Around 17,000 words of reference material, a full technical unit, five worked scenarios, and a portfolio artifact a lab can read.
👀
Perceptual calibration
Not built yet
A hosted drill on native-resolution EM crops with known ground truth and planted errors, scoring into a confusion matrix and reporting accuracy within your own high-confidence calls. Units 05–07 describe how to build one and argue for why it matters. Neuroanatomy for Proofreaders now carries a self-run substitute against released segmentations, but the curated corpus itself does not exist. Listed here so the gap stays visible.