Abstract
Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ability to combine FP with freely moving behavior, among other advantages. However, analysis of FP data can be challenging for new users, especially those with a limited programming background. Here, we present Guided Photometry Analysis in Python (GuPPy), a free and open-source FP analysis tool. GuPPy is designed to operate across computing platforms and can accept data from a variety of FP data acquisition systems. The program presents users with a set of graphic user interfaces (GUIs) to load data and provide input parameters. Graphs are produced that can be easily exported for integration into scientific figures. As an open-source tool, GuPPy can be modified by users with knowledge of Python to fit their specific needs.
Highlights
Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals
Among these advantages are the ease of use, low cost, the ability to combine FP with freely moving behavior, the ability to image in two colors, and the ability to image from multiple brain sites simultaneously
In developing Guided Photometry Analysis in Python (GuPPy), we sought to provide a tool for FP data analysis that is based on a free platform (Python) and that can be used across the Windows, Mac, and Linux operating systems
Summary
Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. FP provides a bulk measurement of reporter activity near the fiber optic probe but cannot offer single cell resolution. Despite this limitation, FP has grown in popularity amongst neuroscientists due to advantages compared to other methods. FP has grown in popularity amongst neuroscientists due to advantages compared to other methods Among these advantages are the ease of use, low cost, the ability to combine FP with freely moving behavior, the ability to image in two colors, and the ability to image from multiple brain sites simultaneously. We present Guided Photometry Analysis in Python (GuPPy), a free and opensource tool designed to guide users with minimal programming knowledge in the analysis of FP data. Access to GuPPy is provided for immediate use, with the goal of standardizing FP analysis and aiding in the adoption of FP for new users
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