Multi-Frequency Interpolation X-talk Removal Algorithm: Enabling Combinations of Concurrent Optogenetics and Lock-in Amplification Fiber Photometry via Removal of Optogenetic Stimulation Crosstalk

Abstract

Simultaneous fiber photometry and optogenetics is a powerful emerging technique for precisely studying the interactions of neuronal brain networks. However, spectral overlap between photometry and optogenetic components has severely limited the application of an all-optical approach. Due to spectral overlap, light from optogenetic stimulation saturates the photosensor and occludes photometry fluorescence, which is especially problematic in physically smaller model organism brains like mice. Here, we demonstrate the multi-frequency interpolation X-talk removal algorithm (MuFIX or μFIX) for recovering crosstalk-contaminated photometry responses recorded with lock-in amplification. μFIX exploits multifrequency lock-in amplification by modeling the remaining uncontaminated data to interpolate across crosstalk-affected segments (R² ≈ 1.0); we found that this approach accurately recovers the original photometry response after demodulation (Pearson's r ≈ 1.0). When applied to crosstalk-contaminated data, μFIX recovered a photometry response closely resembling the dynamics of noncrosstalk photometry recorded simultaneously. Upon further verification using simulated and empirical data, we demonstrated that μFIX reproduces any signal that underwent simulated crosstalk contamination (r ≈ 1.0). We believe adopting μFIX will enable experimental designs using simultaneous fiber photometry and optogenetics that were previously not feasible due to crosstalk.

Keywords: biosensor; epilepsy; fiber photometry; hippocampus; interference; optogenetics.