ACQ4 Neurophysiology Acquisition and Analysis System
Electrophysiology - Photostimulation - Fluorescence Imaging

ACQ4 is a python-based platform for experimental neurophysiology
developed at the Allen Institute for Brain Science and the University of North Carolina, Chapel Hill. It includes support for patch-clamp electrophysiology, multiphoton imaging, scanning laser photostimulation, and many other experimental techniques. ACQ4 is highly modular and extensible, allowing support to be added for new types of devices, techniques, user-interface modules, and analyses.

The latest ACQ4 version is available on github:

For installation instructions, see the documentation

older releases

For an in-depth description of ACQ4, see our Frontiers article:
ACQ4: an open-source software platform for data acquisition and analysis in neurophysiology research.
Campagnola L, Kratz MB, and Manis PB. Front. Neuroinform., 30 January 2014 | doi: 10.3389/fninf.2014.00003

Supported Hardware: