AUTHOR=Cantu Daniel A. , Wang Bo , Gongwer Michael W. , He Cynthia X. , Goel Anubhuti , Suresh Anand , Kourdougli Nazim , Arroyo Erica D. , Zeiger William , Portera-Cailliau Carlos TITLE=EZcalcium: Open-Source Toolbox for Analysis of Calcium Imaging Data JOURNAL=Frontiers in Neural Circuits VOLUME=14 YEAR=2020 URL=https://www.frontiersin.org/journals/neural-circuits/articles/10.3389/fncir.2020.00025 DOI=10.3389/fncir.2020.00025 ISSN=1662-5110 ABSTRACT=
Fluorescence calcium imaging using a range of microscopy approaches, such as two-photon excitation or head-mounted “miniscopes,” is one of the preferred methods to record neuronal activity and glial signals in various experimental settings, including acute brain slices, brain organoids, and behaving animals. Because changes in the fluorescence intensity of genetically encoded or chemical calcium indicators correlate with action potential firing in neurons, data analysis is based on inferring such spiking from changes in pixel intensity values across time within different regions of interest. However, the algorithms necessary to extract biologically relevant information from these fluorescent signals are complex and require significant expertise in programming to develop robust analysis pipelines. For decades, the only way to perform these analyses was for individual laboratories to write their custom code. These routines were typically not well annotated and lacked intuitive graphical user interfaces (GUIs), which made it difficult for scientists in other laboratories to adopt them. Although the panorama is changing with recent tools like