Introduction to Radiens
An overview of Radiens: one platform spanning acquisition (Allego), analysis and exploration (Videre), and Python control (RadiensPy).
6 min read
Updated August 16, 2026
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Introduction to Radiens#
One software platform for neural recording and analysis#
Research use only. NeuroNexus products and the procedures described here are for non-clinical research use, and must not be used in human or veterinary medical procedures.
Radiens from NeuroNexus is a single, scalable software platform that spans the electrophysiology workflow — from recording to result. It reads any acquisition stream live, carries a recording through acquisition, curation, analysis, and exploration, and keeps your data on your own hardware.
Audience: Users, lab managers, researchers, purchasing departments, and system administrators evaluating neural recording software
What Radiens is#
Radiens is one integrated platform whose applications cover every stage of electrophysiology research:
- Adapts to your protocols: The platform fits changing experimental protocols and requirements.
- Clear interfaces: Designed for efficient research workflows with a short learning curve.
- Broad compatibility: Works with diverse neuroscience hardware and existing software.
- Scales with the work: From single-cell to large-scale network recordings, from your workstation to on-demand cluster.
Built for research workflows#
- Research-specific design: Built for neuroscience workflows and experimental requirements.
- Flexible architecture: Accommodates diverse research paradigms and evolving protocols.
- Cross-platform: Consistent operation across Windows, macOS, Linux, and Apple silicon.
- Extensible: Python and MATLAB APIs for custom development.
Key capabilities#
Interactive visualization and modeling#
- Interactive probe models: 3D visualization of electrode-array configurations.
- Automated probe mapping: Recognition and mapping of probe geometries.
- Brain- and target-centered models: Atlas integration for anatomical context.
- Real-time visualization: Live display of neural activity during recording.
Spatial analysis#
- 3D neural-activity mapping: Spatial representation of neural data.
- Anatomical registration: Alignment of recording data with atlas coordinates.
- Multi-dimensional analysis: Spatial, temporal, and functional dimensions together.
- Interactive exploration: Adjust visualization parameters for detailed analysis.
Signal processing#
Live and post-hoc analysis#
- Real-time spike sorting: Live isolation and classification of neural units during recording.
- Post-hoc spike sorting: Spike sorting after the session, with version-pinned open-source pipelines (Kilosort, SpikeInterface).
- Signal-quality metrics: Continuous assessment of recording quality and electrode performance.
- Flexible referencing: Quick optimization of recording configurations.
Data processing#
- Filtering: Signal conditioning and noise-reduction algorithms.
- Artifact handling: Identification and removal of recording artifacts.
- Signal enhancement: Improve signal-to-noise ratio.
- Multi-channel processing: High-density electrode arrays (1,024+ channels).
Cross-platform support#
- Windows / macOS / Linux: Full feature support, with native performance on Apple silicon.
- Python API: Programmatic control and custom analysis.
- MATLAB integration: Works with MATLAB analysis workflows.
- Third-party integration: Compatible with existing research software.
The applications#
Allego — real-time acquisition and control#
- Instrument control: Direct control of data-acquisition hardware.
- Real-time analytics: Live analysis and visualization during collection.
- Live monitoring: Continuous assessment of system performance and data quality.
- Probe-centered interface: The interface is organized around probe configurations and workflows.
- Plug-and-play: Automatic recognition of connected hardware with minimal setup.
- Impedance checking and referencing: Electrode validation and reference optimization.
Videre — analysis, curation, and exploration#
Videre is the analysis and exploration surface. Curation and analysis are workflow stages within it, not separate products.
- Analysis and exploration: Work through stored electrophysiology data with spatial and target-centered views.
- Curation: Organize, validate, and annotate datasets; quality and provenance travel with the data.
- File conversion: Convert to
.nex, NWB, and.binwith lossless preservation and batch processing. - Signal conditioning: Configurable digital filtering with real-time preview.
- Data slicing: Extract by time period or channel for targeted analysis.
- Signal-quality metrics: Quantitative assessment and quality reporting.
- Publication-ready graphics: High-resolution 3D visualizations for manuscripts.
RadiensPy — the free Python client#
- Full programmatic control: Everything the applications do, via Python and MATLAB scripts.
- Well-documented API: For scripting and composition.
- Scriptable and agent-operable: A clean, structured interface (JSON, markdown, stdout).
- PyPI availability: Install through the Python Package Index.
- Python ecosystem: Integrates with the broader scientific-computing stack.
Data management with Allego#
The .xdat file format#
- Simple and efficient: A file format designed for electrophysiology data.
- Component structure: Distinct components for binary sample data, timestamps, and metadata.
- JSON metadata: Experimental metadata in a human-readable format.
- Compatible: Works with common electrophysiology analysis software.
Format compatibility#
- NeuroExplorer: Integration with NeuroExplorer analysis workflows.
- Plexon: Compatibility with Plexon data.
- NWB: Full support for the Neurodata Without Borders standard.
- Kilosort: Integration with Kilosort spike-sorting output.
System requirements and compatibility#
Hardware#
- Memory: 16 GB RAM minimum (32 GB recommended for >256 channels).
- Storage: Fast SSD for data throughput.
- Processing: High-performance CPU and GPU for real-time analysis.
- Connectivity: USB 3.0 for high-speed data transfer.
- Platform: Cross-platform across major operating systems.
Acquisition hardware#
Instrument control ships for - Smartbox (and Smartbox Pro). - SiNAPS active-probe systems. - XDAQ — CORE2, ONE+ and ALL-IN-ONE.
Other systems
- Open Ephys: Open Ephys acquisition hardware.
- Intan: Intan RHD USB interface and 512/1,024-channel recording controllers.
- Model builder: Covers non-native electrodes and headstages.
Editions#
Radiens is built for serious science and free to start. The Standard edition is free; Pro backs your work at its scale. Real-time monitoring is delivered through Vantage™ — a live view of the recording, signal quality, and live PSD in the free tier, with live spectral, live sorting, live PSTH, and any-DAQ recording monitoring at Pro. See Choose the Right Radiens Package.
Support#
- Documentation: Reference for all software components.
- Tutorials: Step-by-step guides for common research applications.
- Technical support: Help from NeuroNexus specialists.
- Community: A user community for knowledge sharing.
Summary#
Radiens is one platform for data acquisition, analysis, and visualization — real-time capabilities, post-hoc analysis, spatial visualization, and broad hardware and format compatibility, on a single engine. Its modular applications let you use the surfaces your work needs, and its Python and CLI interfaces make the whole platform scriptable and agent-operable — while your data stays home and every result stays re-derivable.
From recording to result.
Related documentation#
- Welcome to Radiens
- Choose the Right Radiens Package
- Radiens System Requirements
- X-Series XDAQ System
For installation guides, configuration options, or training programs, contact NeuroNexus technical support for Radiens software assistance.
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