ABSTRACT
Super-resolution optical fluctuation imaging (SOFI) is a highly democratizable technique that provides optical super-resolution (SR) without requirement of sophisticated imaging instruments. An open source package for SOFI algorithm is needed to support not only the utilization of SOFI, but also the community adoption and participation for further development of SOFI. In this work, we developed PySOFI, an open source python package for SOFI analysis that offers the flexibility to inspect, test, modify, improve and extend the algorithm. We provide a complete documentation for the package and a collection of Jupyter Notebooks to demonstrate the usage of the package. We discuss the architecture of PySOFI, illustrate how to use each functional module, and demonstrate how to extend the PySOFI package with additional modules. We expect PySOFI to facilitate efficient adoption, testing, modification, dissemination and prototyping of new SOFI-relevant algorithms.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
The work from X. Yi was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Release number: LLNL-JRNL-827376
