AtlasAlign

Notable signal

Align brain microscopy to an atlas, review and export ROIs

Launched 1d ago

Signal

Velocity

What this means

+1055%Launching in a 1055% WoW growing category.

GitHub had 231 launches this week vs 20 last.

18Founder Conviction Index: 18 — low signal.

Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability

14%

today

Projected end-of-day votes

55range 41–74

Trajectory

stable

Vote pace holding steady.

Speed vs peers

0.9×

6 Education launches

About

AtlasAlign is an open-source Fiji/ImageJ2 plugin for mouse brain atlas alignment and ROI export. Beta.3 adds multichannel and composite viewing, registration pinned to C/Z/T, selected-plane exports, and saved review sessions. Refine alignment, edit anatomical ROIs, and export crops and masks in original image coordinates. Resume individual or batch reviews. Source images stay read-only; researchers review and accept the anatomy. Demo frames show the earlier interface.

AI Summary

AtlasAlign is an open-source Fiji/ImageJ2 plugin designed for aligning mouse brain microscopy images to an atlas and exporting regions of interest (ROIs). The latest Beta.3 version includes features such as multichannel viewing, registration options, and the ability to resume review sessions while keeping source images read-only.

Attention & discussion velocity

Performance

Velocity0

Vote pace vs average

Momentum0

Sustained over 6h

Virality0

Spread × engagement

Engagement4

Discussion per unit of attention

Editorial read

AtlasAlign scores a signal of 49 for an unusual brain microscopy tool.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.

255/8

Surprising

signal 49 out of 100, latest Beta.3 version includes multichannel viewing and registration options.

Timeliness5%100

carried 7%

Novelty15%95

carried 20%

Story20%86

carried 27%

Trend20%50

carried 27%

Business15%2

carried 20%

Not measured · 3 of 8

Revenue10%—

Founder10%—

Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured

Full audit →

Signal sources

3 of 6 active

Launch tracking6 readings since we picked it up
AI analysisEducation
Comment intelligencethread not yet analysed
Outside discussionnot checked — domain is a storefront or shared
Revenue signalsno match on this domain
Editorial scoring13% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.