RT Journal Article
SR Electronic
T1 SimplyFire: An Open-Source, Customizable Software Application for the Analysis of Synaptic Events
JF eneuro
JO eNeuro
FD Society for Neuroscience
SP ENEURO.0326-23.2023
DO 10.1523/ENEURO.0326-23.2023
VO 11
IS 1
A1 Mori, Megumi
A1 Rosko, Andrew
A1 Farnsworth, Jill
A1 Carrasco, Guadalupe
A1 Broomandkhoshbacht, Parisa
A1 Pareja-Navarro, Kristeen
A1 Pejmun Haghighi, A.
YR 2024
UL http://www.eneuro.org/content/11/1/ENEURO.0326-23.2023.abstract
AB We have developed an open-source software for neuroscientists to analyze electrophysiological recordings. Named SimplyFire, the software gives the users the flexibility to analyze a variety of recordings using an interactive graphical user interface or as an importable Python package. The software features a simple plugin structure that allows users to create and deploy various electrophysiology analysis tools. SimplyFire is pre-packaged with tools commonly used in electrophysiology, such as noise filtering, trace averaging, miniature analysis, and trace exporting. We discuss in detail the algorithm behind the different features of the analysis tool. We verify the accuracy of the algorithm by testing the software using computer-generated traces with known true values of the events. SimplyFire will be distributed under the GPLv3.0 license. The open nature of this software will allow interested investigators to modify and expand the software for additional capabilities as needed. We believe this software will not only compete with commercially available software packages but will also present a powerful tool to meet the current and unmet needs of electrophysiologists.