Case study

Allen Institute

Whole-brain reconstruction as an institute-wide workflow

The Allen Institute uses NeuroGlass to support team-based exploration of large brain imaging datasets — preserving the context, decisions and shareable views behind every result.

The challenge

When insight lives in scattered links

The Allen Institute has long led open, large‑scale, team science. As imaging datasets grow in size and complexity, a new problem appears: making exploration and interpretation genuinely collaborative — so insight doesn't end up trapped in scattered links, personal notes, or one‑off screenshots, but becomes shared, reusable context the whole institute can build on.
Saved Glances on an Allen Institute light-sheet study, each change recorded with who made it and when.
How they use NeuroGlass

Visualization as a shared, reproducible activity

Teams explore large volumetric datasets together in the browser — streamed from the Institute's own storage — and capture the exact view behind a finding as a reproducible, shareable Glance. The context around a view is preserved and easy to revisit, turning visualization from a private activity into an institute‑wide workflow.

Explore together

Team-based exploration of terabyte-scale brain imaging, streamed from the Institute's own storage — no copies, no data movement.

Preserve context

Every result keeps the decisions and the exact view behind it, so work is reproducible and easy to revisit months later.

Share across the institute

Shareable views turn scattered links and screenshots into reusable, institute-wide context the whole team can build on.
“The Institute's mission depends on turning complex datasets into shared understanding across disciplines. Our teams are using NeuroGlass to help us treat visualization not as a private activity, but as an institute‑wide workflow, where the context around a view is preserved and easy to revisit.”
Forrest Collman Associate Director
“When collaboration depends on passing around links with no shared context, the science slows down. We're building a platform that can unify all imaging workflows in structural biology — making insights fully traced, reproducible, and durable. We're hearing this need consistently across the field.”
Matteo Cantarelli CTO & Co-founder, MetaCell
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The full announcement

Read the press release

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