@article{binder_qudi_2017,
	title = {Qudi: {A} modular python suite for experiment control and data processing},
	volume = {6},
	issn = {2352-7110},
	shorttitle = {Qudi},
	url = {http://www.sciencedirect.com/science/article/pii/S2352711017300055},
	doi = {10.1016/j.softx.2017.02.001},
	abstract = {Qudi is a general, modular, multi-operating system suite written in Python 3 for controlling laboratory experiments. It provides a structured environment by separating functionality into hardware abstraction, experiment logic and user interface layers. The core feature set comprises a graphical user interface, live data visualization, distributed execution over networks, rapid prototyping via Jupyter notebooks, configuration management, and data recording. Currently, the included modules are focused on confocal microscopy, quantum optics and quantum information experiments, but an expansion into other fields is possible and encouraged.},
	language = {en},
	urldate = {2020-09-09},
	journal = {SoftwareX},
	author = {Binder, Jan M. and Stark, Alexander and Tomek, Nikolas and Scheuer, Jochen and Frank, Florian and Jahnke, Kay D. and Müller, Christoph and Schmitt, Simon and Metsch, Mathias H. and Unden, Thomas and Gehring, Tobias and Huck, Alexander and Andersen, Ulrik L. and Rogers, Lachlan J. and Jelezko, Fedor},
	month = jan,
	year = {2017},
	keywords = {Automation, Experiment control, Framework, Measurement software, Modular, Python 3, Qt},
	pages = {85--90},
}

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The core feature set comprises a graphical user interface, live data visualization, distributed execution over networks, rapid prototyping via Jupyter notebooks, configuration management, and data recording. 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It provides a structured environment by separating functionality into hardware abstraction, experiment logic and user interface layers. The core feature set comprises a graphical user interface, live data visualization, distributed execution over networks, rapid prototyping via Jupyter notebooks, configuration management, and data recording. 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