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多频插值串扰消除算法:通过消除光遗传学刺激串扰实现同时进行光遗传学和锁相放大光纤光度法的组合

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

作者信息

Breakstone Maxim, Chen Spencer C, Vadapalli Sreya, Chavez Emmanuel, Parsonnet Lauren S, Gross Robert E, Tescarollo Fabio, Barker David J, Sun Hai

机构信息

Department of Neurosurgery, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey 08854, United States.

Department of Psychology, Rutgers University, Piscataway, New Jersey 08854, United States.

出版信息

ACS Chem Neurosci. 2025 May 7;16(9):1694-1709. doi: 10.1021/acschemneuro.4c00632. Epub 2025 Apr 14.

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 ( ≈ 1.0); we found that this approach accurately recovers the original photometry response after demodulation (Pearson's ≈ 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 ( ≈ 1.0). We believe adopting μFIX will enable experimental designs using simultaneous fiber photometry and optogenetics that were previously not feasible due to crosstalk.

摘要

同步光纤光度法和光遗传学是一种强大的新兴技术,用于精确研究神经元脑网络的相互作用。然而,光度法和光遗传学组件之间的光谱重叠严重限制了全光学方法的应用。由于光谱重叠,光遗传学刺激产生的光会使光电传感器饱和并遮挡光度法荧光,这在小鼠等体型较小的模式生物大脑中尤其成问题。在这里,我们展示了多频率插值串扰消除算法(MuFIX或μFIX),用于恢复通过锁相放大记录的受串扰污染的光度法响应。μFIX通过对剩余未受污染的数据进行建模,利用多频率锁相放大来插值串扰影响的部分(≈1.0);我们发现这种方法在解调后能准确恢复原始光度法响应(皮尔逊相关系数≈1.0)。当应用于受串扰污染的数据时,μFIX恢复的光度法响应与同时记录的无串扰光度法的动态非常相似。通过使用模拟数据和经验数据进一步验证,我们证明μFIX能够重现任何受到模拟串扰污染的信号(≈1.0)。我们相信采用μFIX将使以前因串扰而无法实现的同步光纤光度法和光遗传学实验设计成为可能。

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