FiPhA: an open-source platform for fiber photometry analysis

• DOI: 10.1117/1.nph.11.1.014305
• Publication Date: 2024-02-23T12:11:03Z
• Authors: Matthew F. Bridge; Leslie R. Wilson; Sambit Panda; Korey D. Stevanovic; Ayland C. Letsinger; Sandra McBride; Jesse D. Cushman
• Keywords: Special Series on Open Source Tools and Techniques; Article

SignificanceFiber photometry (FP) is a widely used technique in modern behavioral neuroscience, employing genetically encoded fluorescent sensors to monitor neural activity and neurotransmitter release awake-behaving animals. However, analyzing data can be both laborious time-consuming.AimWe propose the fiber analysis (FiPhA) app, which general-purpose FP application. The goal develop pipeline suitable for wide range of approaches, including spectrally resolved, camera-based, lock-in demodulation.ApproachFiPhA was developed using R Shiny framework offers interactive visualization, quality control, batch processing functionalities user-friendly interface.ResultsThis application simplifies streamlines process, thereby reducing labor time requirements. It visualizations, event-triggered average processing, powerful tools filtering events, control features.ConclusionsFiPhA valuable tool neuroscientists working with discrete, event-based data. addresses challenges associated investigating such data, offering robust solution without complexity having hand-design custom pipelines. This thus helps standardize an approach analysis.