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多频插曲X-talk删除算法:通过删除光遗传学刺激,实现并发光遗传学和锁定放大光纤摄影学的组合
Maxim Breakstone1, Spencer C Chen1, Sreya Vadapalli1
1Department of Neurosurgery, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey 08854, United States.
ACS chemical neuroscience
|April 14, 2025
概括
同时光纤光度和光遗传学可以研究大脑网络,但光谱重叠会导致问题. 一个新的算法,多频插值X-talk删除 (MuFIX),有效地删除了这种交叉声,使更清晰的光学记录.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 光学工程是指光学工程.
背景情况:
- 同时光纤光度和光遗传学对于理解神经元电路动力学至关重要.
- 光生光和光度检测之间的光谱重叠阻碍了同时进行全光学记录,特别是在小大脑中.
- 现有的方法在被光遗传刺激光污染时难以隔离光度信号.
研究的目的:
- 开发和验证一种新的算法,以消除光谱交叉在同时光纤测量和光遗传学.
- 通过克服光谱干扰,使神经回路的强大的全光学询问成为可能.
主要方法:
- 展示了多频率插值X-talk删除 (MuFIX) 算法.
- 使用锁定放大与多频信号来建模和插曲受交叉声波影响的数据.
- 使用小型模型生物的模拟和经验数据进行验证.
主要成果:
- MuFIX能够准确地恢复光度信号,这些信号被光遗传交叉声波污染 (R2 ≈ 1.0,皮尔森的r ≈ 1.0).
- 该算法成功地跨越受交叉声波影响的细分段进行插入,与非交叉声波光度学密切匹配.
- 在模拟交叉通话污染后,MuFIX在复制原始信号方面表现出高保真度.
结论:
- MuFIX为同时光纤光度测量和光遗传学中的光谱重叠问题提供了有效的解决方案.
- 这种算法显著扩大了神经科学研究中全光学方法的可行性.
- 采用MuFIX将促进研究神经网络的以前不可能的实验设计.
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