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一个预处理工具箱用于2-光子细胞下成像

Anqi Jiang¹, Chong Zhao^2,3, Mark E J Sheffield⁴

¹Department of Neurobiology, Neuroscience Institute, University of Chicago.

|May 13, 2025

概括

这项研究引入了一种新的计算管道,以改善在小鼠行为过程中从神经元亚细胞区获得的双光子成像数据的分析. 该方法增强了信号检测,删除了运动器件,并将感兴趣的区域分组为更清晰的生理信号提取.

科学领域:

神经科学是一个神经科学.
计算生物学计算生物学
生物物理学的生物物理.

背景情况:

双光子成像允许在行为过程中记录来自亚细胞区 (如轴突和树突) 的神经元活动.
挑战包括低信号对噪声,不准确的兴趣区域 (ROI) 识别,运动工件和从同一神经元分组ROI.

研究的目的:

开发一个计算效率高的预处理管道用于亚细胞信号检测,运动文物识别和ROI分组.
通过使用双光子成像来标准化在动物行为期间从亚细胞区提取生理信号.

主要方法:

使用快速里埃转换 (FFT) 和频段过 (0.05-0.12 Hz) 在痕迹上的亚细胞信号检测.
通过主要组件分析 (PCA) 和在第一个主要组件上检测变化点来移除运动工件.
通过分析突出度和持续时间来识别的短暂性;使用层次或k-means集群来对ROI进行分组.

主要成果:

管道有效地检测亚细胞信号并移除运动工件.
聚类方法准确地分组了活跃的ROI,产生了与地面真相数据可比的结果.
在小鼠大脑的CA1区域使用轴突ROI证明了有效性.

结论:

拟议的管道提供了一种标准化的方法,用于从两光子成像数据分析亚细胞神经元活动.
这种方法解决了关键的挑战,提高了神经生理记录在行为过程中的可靠性和可解释性.

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