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Data acquisition for patch clamp ephys / optogenetics / imaging experiments

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ACQ4

Neurophysiology acquisition and analysis for Python

ACQ4 is a platform for data acquisition, management, and analysis in neurophysiology experiments, especially focusing on patch clamp electrophysiology, optogenetics, and related techniques. It is used both as a platform for developing customized data acquisition tools and as an application that handles the most common requirements in whole-cell recording, calcium imaging, and photostimulation.

ACQ4 is developed with support from the Allen Institute for Brain Science, Sensapex Oy, the University of North Carolina at Chapel Hill, and many other users around the world.

Features

  • Semi- and fully-automated patch clamp electrophysiology
    • Automated manipulator control--place your pipette tip anywhere you can click
    • Pipette cleaning / reuse
    • Resistance-based autopatch
    • Multipatch
  • Photostimulation mapping
  • Fluorescent indicator imaging
  • 2-photon imaging

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Data acquisition for patch clamp ephys / optogenetics / imaging experiments

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  • Python 69.6%
  • C 23.9%
  • C++ 6.2%
  • Processing 0.2%
  • NMODL 0.1%
  • Inno Setup 0.0%