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    <title>ACQ4 Neurophysiology Acquisition and Analysis System</title>
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    <table class="title">
        <tr><td>ACQ4 Neurophysiology Acquisition and Analysis System</td></tr>
        <tr><td style="font-size: 16pt; vertical-align: bottom; height: 100%">Electrophysiology - Photostimulation - Fluorescence Imaging</td></tr>
    </table>

    <br>
    <div style="font-size: 14pt; text-align: center">
    <b>ACQ4 is a python-based platform for experimental neurophysiology</b><br>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.
    </div>
    <br><br>

    <br><br>
    <table style="width:100%; border: 0px #000"><tr><td style="border: none; text-align: left; margin: 10px">
        <div style="padding: 20px; font-size: 14pt; border: 1px #446 solid;">
            <a href='screenshots.html'>Screenshots</a></br>
            <a href='https://acq4.readthedocs.io/en/latest/'>Documentation</a></br>
            <a href='https://groups.google.com/forum/?fromgroups#!forum/acq4'>Mailing list</a><br>
        </div>
    </td><td style="border: 0px; text-align: right;">

        <div style="padding: 5px; margin-bottom: 10px; border: 1px solid #446; text-align: center; width: 600px; margin-left: auto; margin-right: 0;">
            <table style='margin-left: auto; margin-right: auto; border: 1px solid #111111;' class="noborders">
            </table><br>
            The latest ACQ4 version is available on github:<br><a href="https://github.com/acq4/acq4.git">https://github.com/acq4/acq4.git</a><br><br>
            For installation instructions, see <a href="https://acq4.readthedocs.io/en/latest/userGuide/installation.html">the documentation</a><br><br>

         <!--   <a href="https://github.com/pyqtgraph/pyqtgraph/blob/develop/CHANGELOG">recent changes</a>&nbsp;&nbsp;-&nbsp;&nbsp;--><a href="http://acq4.org/downloads/">older releases</a>
        </div><br>
    </td></tr></table>
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    <div style="text-align: center"><a href="http://www.frontiersin.org/Journal/10.3389/fninf.2014.00003/abstract"><img src="acq4_frontiers.png" width=600></a></div>
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    <div style="border: 1px solid #446; padding: 10px; margin-left: auto; margin-right: auto; text-align: center;">
        For an in-depth description of ACQ4, see our Frontiers article:<br>
        <a href="http://www.frontiersin.org/Journal/10.3389/fninf.2014.00003/abstract"><i>ACQ4: an open-source software platform for data acquisition and analysis
        in neurophysiology research.</i> <br>Campagnola L, Kratz MB, and Manis PB. Front. Neuroinform., 30 January 2014 | doi: 10.3389/fninf.2014.00003</a>
    </div>
    <br>


    <div class="subtitle">Features:</div>
    <ul>
        <li><b>Protocol design interface</b> allows easy creation of stimulation / recording protocols combining and synchronizing any number of devices.
        <li><b>Live camera viewing</b> geared toward slice imaging for patch clamp and online analysis of calcium imaging.
        <li><b>Scanning laser microscopy</b>.
        <li><b>Pipette automation</b> for fast multipatch.
        <li><b>Photostimulation mapping</b> control integrated into camera/2p viewing and protocol execution.
        <li>Integrated motion control system--all movable devices are calibrated together into one coordinate system graph.
        <li>Online and offline data analysis system.
        <li>Integrated data manager allows customizable data storage, browsing, and export.
        <li>Designed to be a flexible, general-purpose experiment acquisition and analysis interface.
        <li>Highly modular and scalable design--easy to expand support for new hardware and experiments.
        <li>Open source and cross-platform. Runs in Windows, Linux, and OSX. (acquisition may be limited depending on your hardware, though)
    </ul>

    <div class="subtitle">Supported Hardware:</div>
    <ul>
        <li>National Instruments DAC/ADC interfaces (anything with DAQmx support, including X, S, M, and E-series)
        <li>MultiClamp 700A, 700B
        <li>Most scientific cameras supported via MicroManager
        <li>Native support for Photometrics and QImaging cameras
        <li>Scientifica microscopes and manipulators
        <li>Sensapex uMP manipulators
        <li>Microscope stages via MicroManager (experimental)
        <li>Scanning galvometric mirrors (via DAC interface)
        <li>Coherent Chameleon laser
        <li>Most TTL-based shutters and voltage-controlled pockels cells
        <li>Sutter MP285 and MPC-200 controllers
        <li>AxoProbe, AxoPatch
    </ul>

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    <div class="subtitle">Requirements:</div>
    <ul>
        <li>Windows, Linux, or OSX
        <li>Python 2.7
        <li>SciPy / NumPy -- fast number crunching scientific library
        <li>PyQt 4.8+ -- fast, mature graphical toolkit
    </ul>
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    <b>Compared to:</b>

        ephus - supports laser microscopy, runs in Matlab, interface more difficult to use (in my opinion)
                currently lacks some of ACQ4's features--
                both projects are built on similar principles
        pclamp/clampfit - not open source

    Screenshots

      Example Uses:
        Electrophysiology:
            Patching, cell monitoring
            IV curves, mini-PSP recordings, field recordings, STDP induction
                - online averaging of weak signals
                - online FFT for analyzing noise sources
        Imaging
            Live video for patching
                - background subtraction for improved local contrast
            Recording video
            Automatic storage of image scale and location (keeps track of objectives and stage location)--allows easy generation of mosaics
            Calcium imaging
                - high-pass filtering makes calcium transients easy to see
                - draw multiple ROIs for online measurement of transients
                - synchronized video and ephys recording/stimulation (allows simultaneous fluorescence imaging and photostimulation)
        Photostimulation
            Easy (one-click) calibration of scanning galvos; calibrations are stored for each camera and/or objective lens.
            Create multiple grids / individual spots for stimulation protocols
            Online analysis of results displayed in camera window
            Grids and analysis results are locked to the slice
            All data is stored with absolute position--scan maps are automatically matched with image mosaics

      Will you support X hardware?
      How difficult is it to add support for X hardware?

    -->


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