BorgVR Guide
BorgVR

User guide

Understand large volume data, not just display it.

BorgVR combines native Metal renderers, spatial interaction, SharePlay, dataset servers, and a WebGPU client. This guide takes you from the first dataset to collaborative analysis.

One system, several entry points

The right tool for each workspace

All renderers use the same BorgVR datasets, multi-channel transfer functions, objects, and measurements, while each interface is adapted to its platform.

Prepare the data

Open existing BorgVR files, import DICOM, NRRD, PVM, or QVIS data, or obtain a dataset from a server.

Shape the visualization

Choose transfer-function, illuminated transfer-function, or isosurface rendering and adjust per-channel transfer functions, lighting, clipping, detail, and sampling.

Share the result

Save transfer functions, objects, measurements, and the complete dataset state, or collaborate with other people through SharePlay and WebGPU.

Additional tools

Browser and automation

Concepts and file formats

How bricks, LOD, multi-channel data, transfer functions, objects, measurements, server origins, and SharePlay fit together.

WebGPU

Open datasets in a browser without installation, use touch controls, and optionally persist bricks in IndexedDB.

Graphics Script

Automate BorgVR on macOS with GSC: language basics, complete command reference, interaction recording, and example programs.

Command-line tools

Convert or synthesize datasets and operate Swift or C++ servers without a graphical interface.

Model Context Protocol

Let trusted AI agents open datasets, change rendering parameters, and inspect screenshots through the integrated MCP server.

Support

Contact, frequently asked questions, privacy information, and App Store support.