Device Management
Each type of device supported in ACQ4 is represented internally as a Python class that inherits from a base Device class.
Adding support for a new type of device requires writing a new Device subclass.
Four generic Device subclasses (described below) provide common functionality across groups of similar devices: DAQGeneric, Camera, Stage, and Laser.
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High-Level Synchronized Device Control
Although it is possible to directly interact with each device, the Manager also provides a high-level system that handles all details of configuring and synchronizing devices to perform complex acquisition tasks.
User interface modules may acquire data by submitting task requests to the Manager, which runs each queued task in order as hardware beco.
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Optomechanical Devices
The experiments that ACQ4 is designed to handle often involve multiple devices whose spatial relationships to each other must be calibrated, tracked, and reported.
For example, a user may wish to collect a set of images from a range of locations across a sample, mark locations for later reference, or direct a scanning laser to specific sites in the.
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Platform
ACQ4 is written in Python, a modern, open-source programming language that has grown rapidly to become one of the most popular general-purpose programming languages in use.
Python is also unencumbered by commercial licensing, which greatly reduces barriers for other researchers to access ACQ4.
As an interpreted language, Python is easier to use tha.
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Supported Hardware
ACQ4 supports a range of hardware devices for data acquisition and control.
Most of these devices fall under one of five categories: data acquisition boards, analog/digital signal devices, cameras, lasers, and position control devices.
Each device is implemented as a subclass of the base Device class or one of the generic Device subclasses (DAQGene.
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User Interface Modules
ACQ4's user interface is divided into modules, each providing support for a specific type of activity such as displaying a camera feed, designing and running a task, patching a cell, or browsing through data.
Modules are opened via the Manager, and each module is contained in its own window.
Development of modules is one of the primary ways that AC.
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What is acq4 software?
ACQ4 is highly modular and extensible, allowing support to be added for new types of devices, techniques, user-interface modules, and analyses.
ACQ4:
- an open-source software platform for data acquisition and analysis in neurophysiology research
Campagnola L, Kratz MB, and Manis PB.
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What is data sharing in systems neuroscience?
A challenge for data sharing in systems neuroscience is the multitude of different data formats used.
Neurodata Without Borders:
- Neurophysiology 2
0 (NWB:N) has emerged as a standardized
data format for the storage of cellular-level
data together with meta-
data, stimulus information, and behavior.
