Python scientific measurement toolbox
Pyscan is an instrument control and measurement tool box for scientific laboratory instruments.
It provides tools to create "experiments," in which you can interface with devices, define a measurement function with which to collect data from the devices, and run an experiment to "loop" over multiple variables or properties. The data can be plotted live so the experimenter can observe data collection during the experiment, and once complete, the data and metadata with all experimental parameters are automatically saved to a h5py file. Such files can be loaded and the data can be plotted again at a later time.
A selection of instrument drivers are included, but drivers from other libraries can also be used with pyscan.
Pyscan can be installed by downloading this repository and following the instructions below.
Use git to clone this repository into your computer.
Open a terminal or anaconda prompt window. Navigate to the pyscan folder, which contains the file "setup.py".
Install pyscan with
pip install -e .Sample Jupyter Notebooks running dummy experiments are located in the demo_notebooks folder.
For the full instructions on how to use pyscan library, read the docs!
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Current development team:
Past contributors: A special thanks to all pyscan contributors: Pyscan Contributors
If Pyscan contributes to a project that leads to publication, please acknowledge this using:
"Part of this work was enabled by the use of pyscan (github.com/sandialabs/pyscan), scientific measurement software made available by the Center for Integrated Nanotechnologies, an Office of Science User Facility operated for the U.S. Department of Energy."