RTXI

RTXI provides hard real-time data acquisition and closed-loop experimental control for dynamic perturbations and analysis in biological experiments.


Key Features:

  • Real-Time Control: Performs hard real-time computational adjustments to experimental conditions for closed-loop interventions.
  • Modular Standard Modules: Includes standard modular components that facilitate implementation of common electrophysiology protocols.
  • Hardware Integration: Integrates with an extensive range of external experimentation and data-acquisition hardware.
  • Open-Source Linux Platform: Operates as an open-source system within a Linux real-time environment.
  • Open-Loop Support and Online Processing: Supports open-loop studies with online data acquisition, processing, and visualization.

Scientific Applications:

  • Single-Cell Studies: Enables precise control and dynamic stimulation of single cells to investigate cellular responses.
  • Cell Network Analysis: Facilitates real-time perturbation and monitoring of interactions within cell networks.
  • Electrophysiology (Animals and Humans): Supports electrophysiological experiments in animals and humans in both closed-loop and open-loop configurations.
  • Open-Loop Data Acquisition: Enables online acquisition, processing, and visualization for experiments that do not require closed-loop control.

Methodology:

Runs on a Linux real-time environment, integrates with external data-acquisition hardware, and uses modular real-time components to implement electrophysiology protocols.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
workflow
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++, C
Added:
6/26/2018
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Modelling and simulation

Inputs

Outputs

Publications

Patel YA, George A, Dorval AD, White JA, Christini DJ, Butera RJ. Hard real-time closed-loop electrophysiology with the Real-Time eXperiment Interface (RTXI). PLOS Computational Biology. 2017;13(5):e1005430. doi:10.1371/journal.pcbi.1005430. PMID:28557998. PMCID:PMC5469488.

PMID: 28557998
PMCID: PMC5469488
Funding: - National Institute of Biomedical Imaging and Bioengineering: R01RR020115 and R01EB016407

Documentation

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