Radiens LIVE

The Radiens LIVE package consists of two apps and a python API:

• Allego provides DAQ hardware control along with real-time analytics and visualization via an intuitive UI.
• Curate provides curation of Ephys big data sets via an intuitive UI.
• radiens python package provides (optional) full programmatic control and extension of the apps.

The Radiens LIVE package is indicated if you need a high-performance solution for controlling your Ephys setup and early-stage data curation to get the most out of each experimental session and raw data set.  It provides a structured path for growing and updating both your hardware system and electrophysiology workflow over time. For example, you can add a neural interfacing modality (i.e., optogenetics or electrical stimulation, surface recordings, etc.), behavioral instruments, or video capture. You could customize the workflow with a real-time python script. Radiens handles the technical details so that you can focus on the science.

Allego app

The Allego app provides a plug-and-play solution for using your electrodes and DAQ system at their maximum performance to get the most out of every preparation and experiment session. Allego includes a rich feature set, including

• Interactive neural interface digital twin for real-time visualization of both probe and spike activity in the target structure.
• Highly performant system with advanced signal monitoring puts the operator “in-the-loop” to increase the productivity of each experimental session
• Probe-Centric Interface: Intuitive signal selection and ordering for spatially registering each signal trace with respect to probe and brain.
• Plug-and-Play with Automated Mapping: Select your headstage→select your probe→done!
• Powerful real-time signal conditioning, including filtering and virtual referencing
• Python/MATLAB API:  First-class python API for complete real-time programmatic control of the system and workflow alongside the app UIs.
• Multi-channel Stimulation: Flexible electrical micro-stimulation coincident with recording for real-time control.
• Real-time Spike Sorter:  Innovative ML-based spike sorter working in real-time to quantify recordings and responses while they are happening.  
• Compatible with open neuroscience tools and workflows: Supports many common file formats.  Primary data stays securely in the lab tagged with UIDs for maintaining complete data provenance.

Curate app

The Curate app provides a UI-driven solution for fast, secure early-stage data curation. It includes a rich feature set, including

• Intuitive UI for building complex, sequential procedures for data management and curation.
• Extensive built-in list of signal conditioning and signal transforms, including time-series filtering and virtual referencing.
• Powerful methods for slicing data sets in time and/or by signal.
• Flexible methods for re-ordering signals in a data file.
• Highly performant to handle datasets of all sizes, from individual short records to extensive big-data data archives.
• Can be used in conjunction with the radiens Python package for scripting data curation workflows and traversing complex file systems.

radiens Python package

radiens is a professional-grade Python package that provides full programmatic control and extension of the UI-driven apps via Python (and Matlab) scripts that can work alone or alongside the apps themselves.

With Matlab’s built-in compatibility with Python, you also get full programmatic control of the apps via Matlab.

The radiens Python package implements a high-quality Pythonic API.  Both beginner and advanced Python users can write relatively simple scripts that make function calls to running Allego and Curate in order to perform complex functions reliably and with very high performance.  This keeps your scripts ‘thin’, which every Python (and Matlab) developer recognizes as being important for reliable code.

radiens is available for free download from the Python package repository, PyPI.  It requires you to have an active Radiens license for connection to the Radiens system that must be running alongside.

For more info, check our online documentation https://neuronexus.github.io/intro.html.