Drug screening

Review imaging evidence together,
from screens to whole organs

Images, analysis outputs and expert decisions in one shared workspace, on your own cloud or on‑prem.

NeuroGlass reviewing a high-content screen: a plate of wells with groups outlined next to a field of cells at full resolution, with the annotations table below.
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why imaging discovery stalls

Image-based discovery is fragmented across tools, experiments and scales

A single result crosses analysis software, spreadsheets, screenshots and email before anyone can act on it — and the trail back to the source image is lost along the way.

No path back to the image

A statistical hit is hard to trace to the exact well, field or structure it came from.

AI outputs go unchecked

Model results are hard to review together and reproduce across a team.

Context evaporates

Decisions, comments and rationale are lost between stages, tools and collaborators.
one review, start to finish

From hit to decision, in one place

Spot the hit on the plate, open its wells, and save the call as a Glance anyone on the team can reopen.

1 · Spot the hit

Scan the whole plate in one view, with annotated wells outlined where they sit.
A high-content plate in NeuroGlass: a grid of wells with groups of annotated wells outlined.

2 · Open the wells

Zoom from the plate into any well at full resolution, across every channel.
One well opened at full resolution, with its channels.

3 · Record the call

Annotate each call with its condition and well, then save the view as a Glance that reopens exactly as you left it.
The annotations table of a Study: two layers, with each annotation as a row showing its type and cell type.
one platform, every scale

From multi-well screening to whole-organ validation

The same collaboration, review and provenance layer spans every experimental scale — so image-based evidence stays connected as programmes move from cells to whole organs.
High-density screening

2D cellular assays

Many compounds across many wells, comparing treatment against control.
3D biology

Organoids & spheroids

Co-cultures, patient-derived models and other 3D phenotypes.
Whole-organ & neural

Cleared tissue to whole brain

Biodistribution and pathology mapping, with neuronal and axonal tracing across a whole brain.
Beneath every scale sits the same NeuroGlass layer — images, AI outputs and expert decisions together in one browser workspace, permissioned, versioned and reproducible.
Modules

Turn a screen into a reviewed, reproducible hit list

A module that layers onto your subscription and the analysis you already run. NeuroGlass is the review and QC layer on top of your screen — not another analysis engine.
Coming soon · design partners

High-Content Screening

High-content screening · 2D assays · organoids
Review, QC and confirm hits at plate scale — overlay your own analysis on the source wells and capture every advance-or-kill decision as a reproducible Glance. Runs on dedicated backend services, on your own storage.
A high-content plate in NeuroGlass, with groups of annotated wells outlined.
Beta · design partners

Collaborative Annotation

All modalities
Annotate together on one shared layer, with values from your own lists or ontologies, and find any annotation by its values.
Cell bodies in an electron-microscopy volume, each labelled with its cell type from the Cell Ontology.

Bring your own analysis

Overlay existing feature tables and segmentation masks on the source wells at plate scale — CellProfiler, vendor software or your own models.

Review & QC hits

Standardize views with Lenses, flag edge effects and artifacts, and confirm or reject each hit with a spatial comment the whole team can see.

Every decision reproducible

Each advance-or-kill decision is tied to the exact well and view as a Glance — auditable and re-openable months later.
NeuroGlass for Pharma & Biotech

Enterprise-grade imaging for commercial R&D

Screening, spatial biology, translational and preclinical imaging — and longevity biotech — in one secure, compliant workspace. Your data stays in place; your teams stop wrestling with infrastructure and get back to the science.
A row of figures built from a Study: a traced neuron, a four-panel view and, in focus, an electron-microscopy slice beside its 3D cells, under the caption Figure 3, Segmentation of Adult Drosophila melanogaster.
SaaS or on-prem — your infrastructure

Deployment that fits your enterprise

Run it as managed SaaS, or deploy on-prem in Kubernetes on your own cloud — no external cloud dependencies.
Attributions: Zheng et al., Cell 2018; Buhmann et al., Nature Methods 2021; Heinrich et al., arXiv 2018
bring your data, keep it in place

Your data never moves

Point NeuroGlass at your existing private S3 buckets and stream directly into the browser — no copies, no migration, no data leaving your control.

Stream, don't copy

Terabyte-scale volumes render in the browser straight from your private buckets. No downloads, no duplicated datasets, no waiting on transfers.
NeuroGlass streaming from a private S3 bucket.

Your storage, your rules

Keep data in your own account and region. NeuroGlass mediates access under your permissions — you retain full ownership and can revoke or delete at any time.
review where the data lives

Collaborate in the data, not around it

Discovery, translational and QC teams review the same images in one place, so every question, answer, and decision stays attached to the evidence — not buried in email, slides or PDFs.

Keep imaging data, annotations, quantitative outputs, and the exact Glance behind each finding in one place

Re-open any finding months later and see precisely what the scientist saw

Walk others through volumetric data in real time, or let them follow your demo remotely

Turn any question into a comment tied to a specific spatial point or ROI

Build the audit trail automatically as you work

screening & spatial at scale

Built for high-content and spatial pipelines

Bundle plates, cohorts and spatial panels into a Collection. Switch Lenses to change perspective.
Everything stays one click away in your dashboard.

Standardize views

Lenses are parameterizable viewing templates that enforce consistent windowing, overlays, and rendering across every plate, cohort and scientist.
NeuroGlass Lenses: saved viewing templates such as a recolored cross section or a four-panel view.

Bulk ingest

Onboard thousands of wells or samples in one pass with a CSV manifest, no bespoke scripts.
A CSV manifest ingested into a Data Collection table.

Compare anything

Swap datasets or swap settings. Dose-response, longitudinal and cross-cohort QC stop being engineering asks.
Secure. Compliant. Auditable.

Security and compliance built in

SSO and role-based access, a full audit trail, and deployment that keeps data in your own environment and region — designed to fit regulated pharma workflows.
Visit API documentation

SSO & role-based access

Single sign-on and Google-Docs-style permissions via Keycloak, with a full activity audit trail across your organization

Built for regulated workflows

Deploy inside your own validated environment to support GLP and 21 CFR Part 11 workflows and GDPR, with EU data residency and data kept in your own region

On-prem, no external cloud

Run entirely in Kubernetes, on your own cloud or on-prem — no dependency on any external cloud service

Search across all your Data

Search Studies, Glances, and Collections and inside workspace state itself.
"The case where we saw that artifact" becomes findable.
    Example results from public datasets.

    See it on your own data

    The fastest way to evaluate NeuroGlass is to walk through your own imaging workflow end-to-end — ingest, explore, review, and reproduce — on your own data, in your own environment. Get the deployment checklist
    The data formats NeuroGlass reads from your own storage: OME-Zarr, Zarr, N5 and Precomputed, and more.

    Frequently Asked Questions

    Can't find an answer? Contact us

    What is NeuroGlass?

    Which data formats does NeuroGlass support?

    Do we have to upload or copy our data?

    Where is our data, and who can see it?

    Can NeuroGlass run inside our own environment?

    Does NeuroGlass replace our image-analysis software?

    Is the High-Content Screening module available today?