GPU-native microscopy analysis for live-cell datasets

Segment, render, and inspect large 4D/5D microscopy datasets on a standard NVIDIA workstation

neuroGlia5D is built for microglia, neurons, macrophages, and other dynamic cell populations. It combines automated segmentation, object-centric review, and interactive correction without forcing you into an HPC workflow.

Built for live-cell biology microglia, neurons, macrophages, immune cells, and dual-channel interaction workflows
Runs on Windows + NVIDIA GPU designed for adaptive GPU tiling and large datasets that can exceed RAM
Procurement-friendly trial available, quotes on request, and university invoicing via purchase order
neuroGlia5D interactive viewer showing labeled cells and object IDs across a dark microscopy scene
Interactive object-centric viewer with persistent labels, temporal navigation, and editing tools.

Automated 3D / 4D / 5D segmentation

Analyze microglia, neurons, macrophages, immune cells, and other motile cells across single-channel or dual-channel time-lapse microscopy datasets.

Object-centric review and correction

Navigate persistent labels across time, inspect cell identities, and correct local segmentation issues without exporting to a separate manual curation stack.

Made for practical hardware constraints

Designed around GPU memory behavior, adaptive tiling, and streaming so large datasets remain usable on an NVIDIA-equipped Windows laptop or workstation.

Why neuroGlia5D exists

Live microscopy often forces a painful tradeoff between field of view, temporal resolution, and downstream usability. Existing workflows frequently zoom into small regions just to preserve dynamic detail, then lose the broader biological context that actually matters.

neuroGlia5D was built to reduce that compromise. It treats segmentation, navigation, and rendering as one connected system so users can move from whole-volume context to individual cellular structures without rebuilding the workflow around a single tiny ROI.

Why this is easier to buy

  • Trial-first evaluation path for labs that want to test on their own data.
  • Pricing page for procurement, budgeting, and internal approvals.
  • Clear workflow documentation to reduce onboarding friction.
  • Country-adjusted pricing page for transparent procurement conversations.
neuroGlia5D label viewer with numbered segmented objects across a live microscopy rendering
Interactive viewer. Persistent label IDs, temporal navigation, brush tools, and live visual inspection in one interface.
neuroGlia5D parameter panel with microscope and segmentation settings
Parameter control. Microscopy-aware inputs, segmentation controls, and dataset-specific tuning options.
neuroGlia5D input type chooser for timelapse, z-stack, and hyperspectral stack workflows
Practical intake. Entry points for 2D/2D timelapse, 3D Z-stack, multi-timepoint, and 4D/5D split-stack workflows.

Want a closer look before committing to a trial?

Use the workflow page for step-by-step screenshots, or review pricing first if you need procurement-ready information before starting a trial.

Engine-level architecture

neuroGlia5D is built around GPU-native algorithms rather than a loose collection of CPU-era tools. Data access, filtering, resampling, segmentation, and topology tracking were designed together with GPU execution and memory constraints in mind.

Instead of treating labels as a disposable overlay, the system models each segmented cell as a persistent 4D object. That makes navigation, review, interaction analysis, and downstream AI-assisted correction more coherent than frame-by-frame workflows.

How neuroGlia5D compares

The comparison below describes product focus rather than absolute rankings. Cell5D is not affiliated with, endorsed by, or sponsored by the third-party products named here.

What neuroGlia5D emphasizes

  • Dense label volumes with persistent identities across time
  • Interactive review of large live-cell datasets
  • Segmentation-centric workflows rather than viewer-only workflows
  • Dual-channel and interaction-oriented biological use cases

What visitors usually compare it against

  • Imaris for viewing, surfaces, and track workflows
  • Arivis Vision4D for large-volume rendering
  • napari / Fiji / ImageJ for open annotation ecosystems
  • General visualization tools that are not built around temporal label identity

Frequently asked questions

What is neuroGlia5D?

GPU-native software for 3D, 4D, and 5D segmentation and analysis of live biological cells from fluorescence microscopy.

Do I need an HPC cluster?

No. It is designed for a Windows laptop or workstation with a modern NVIDIA GPU.

What formats does it support?

Multi-page TIFF, OME-TIFF, and OME-ZARR input, with output options including .ng5d, .ome.zarr, and .tif.

What cell types is it good for?

It was built around microglia-neuron workflows and is also aimed at macrophages, immune cells, neurons, and other dynamic cell populations.

Can I evaluate it before procurement?

Yes. Start with the trial, the workflow guide, or the pricing page for internal review and purchasing.

Do you support universities?

Yes. The site already states that universities can be invoiced via purchase order.

Ready to evaluate neuroGlia5D?

Email cell5d@outlook.com for dataset questions, live demos, procurement support, or performance discussion. Tutorials and product examples are on YouTube @neuroGlia5D.