References

Sherathiya, N.V., et al., GuPPy, a Python toolbox for the analysis of fiber photometry data. Scientific Reports, 2021. 11(1).

Bridge, F.M., et al., FiPhA: an open-source platform for fiber photometry analysis. Neurophotonics, 2024. 11(01).

Murphy, Z.K., et al., PhAT: A flexible open-source GUI-driven toolkit for photometry analysis. 2023.

Akam, T. and E.M. Walton, pyPhotometry: Open source Python based hardware and software for fiber photometry data acquisition. Scientific Reports, 2019. 9(1).

Conlisk, D., et al., Integrating operant behavior and fiber photometry with the open-source python library Pyfiber. Scientific Reports, 2023. 13(1).

Bruno, A.C., et al., pMAT: An open-source software suite for the analysis of fiber photometry data. Pharmacology Biochemistry and Behavior, 2021. 201: p. 173093.

Keevers, J.L. and P. Jean-Richard-Dit-Bressel, Obtaining artifact-corrected signals in fiber photometry via isosbestic signals, robust regression, and dF/F calculations. Neurophotonics, 2025. 12(02).