Introduction to Radiens Flyer

Radiens™ Analytics Software Suite from NeuroNexus is a comprehensive solution designed to streamline electrophysiology research. With adaptive capabilities to evolving experimental protocols, Radiens ensures intuitive navigation, seamless integration, and robust performance across diverse neuroscience workflows.

Key Highlights:

• Interactive visualization of probe models
• Automated probe mapping
• Digital brain models for electrophysiology visualization
• Real-time and offline spike sorting
• Flexible referencing for rapid optimization
• Cross-platform compatibility (Windows, MacOS, Linux, Apple M1)
• Expandable functionality with Python/MATLAB APIs

Radiens™ LIVE (Allego & Curate Bundles):

• Allego: Controls DAQ hardware, provides real-time analytics and visualization with features including:
  • Probe-centric interface

• Plug-and-play functionality

• Real-time spike sorting and signal quality metrics

• 3D visualization of neural activity

• Impedance checking and referencing optimization

• Curate: Efficiently manages electrophysiology datasets offering:
• Easy file conversion to: .nex NWB, and .bin

• User-friendly interface
• Advanced filtering and signal conditioning
• Data slicing by time or channel

• Flexible signal conditioning

• Python integration for scripting complex procedures

Radiens™ SEEK (Curate & Videre Bundles):

• Videre: File-based analysis and visualization tool, featuring:

• Powerful signal conditioning

• Comprehensive signal quality metrics

• 3D data visualization

• Advanced data analysis capabilities

Radiens Python Package:

• Provides extensive programmatic control via Python and MATLAB scripts.
• High-quality, user-friendly API for advanced scripting and extension of Radiens apps.
• Efficient and reliable integration, ensuring robust and high-performance code.
• Available on PyPI, requires active Radiens license.

Data Management with Radiens Allego:

• Stores primary data sets in simple, efficient XDAT file format comprising:
  • Binary file for sample values
  • Binary file for timestamps
  • JSON metadata file
• Compatible with common electrophysiology file formats (NeuroExplorer, Plexon, NWB, Kilosort2).

Compatibility and System Requirements:

• Optimal performance on systems with:
  • Minimum 16 GB RAM (32 GB recommended for >256 channels)
  • Fast SSD storage
  • High-performance CPU and GPU
  • USB 3.0
  • Cross-platform support

Supported DAQ Hardware:

• SmartBox Classic and Pro
• SiNAPS Interface Box
• XDAQ One/Core Systems
• Open Ephys systems
• Intan RHD USB2 interface, recording controllers (512 and 1024 channels)