Taking electrophysiology recording, stimulation, and analysis to the next level
The Radiens SEEK package consists of two apps and a python API:
The Radiens SEEK package is indicated if you need a high performance solution for file-based data analysis and visualization and early-stage data curation to get the most out of your data sets. It provides a structured path for expanding and deepening your data analysis workflow over time. For example, you can run an automatic spike sorter against a large file and then playback the signal traces and the spiketrains for qualitative and quantitative review. You can build sophisticated, custom workflows with simple python scripts. Radiens handles the technical details so that you can focus on the science.
Videre app
The Videre app provides a powerful solution for file-based analysis and visualization. It includes a rich feature set, including
Curate app
The Curate app provides a UI-driven solution for fast, secure early-stage data curation. It includes a rich feature set, including
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 fully 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.
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