Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology
Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology
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DOI：
10.1038/s41593-019-0492-2
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发表时间：
2019-11-01
影响因子：
25
通讯作者：
Poskanzer, Kira E.
中科院分区：
文献类型：
--
作者：
Wang, Yizhi;DelRosso, Nicole, V;Poskanzer, Kira E.
由于敏感荧光指示剂的发展和时空复杂钙活性的观察，最近检查星形胶质细胞生理学的工作集中在荧光成像上。然而，由于当前基于感兴趣区域的方法不足以描述空间上不固定、大小变化和繁殖的活动，因此该领域在单细胞内和群体水平上表征这些动态方面仍然受到阻碍。在这里，我们提出了一个分析框架，将星形胶质细胞生物学家从基于感兴趣区域的工具中解放出来。星形胶质细胞定量分析 (AQuA) 软件采用基于事件的视角来建模并准确量化荧光成像数据集中复杂的钙和神经递质活动。我们将 AQuA 应用于一系列离体和体内成像数据，并使用生理相关参数来全面描述数据。由于 AQuA 是数据驱动的并基于机器学习原理，因此它可以应用于模型生物、荧光指示剂、实验模式以及成像分辨率和速度，使研究人员能够阐明基本的神经生理学。
Recent work examining astrocytic physiology centers on fluorescence imaging, due to development of sensitive fluorescent indicators and observation of spatiotemporally complex calcium activity. However, the field remains hindered in characterizing these dynamics, both within single cells and at the population level, because of the insufficiency of current region-of-interest-based approaches to describe activity that is often spatially unfixed, size-varying and propagative. Here we present an analytical framework that releases astrocyte biologists from region-of-interest-based tools. The Astrocyte Quantitative Analysis (AQuA) software takes an event-based perspective to model and accurately quantify complex calcium and neurotransmitter activity in fluorescence imaging datasets. We apply AQuA to a range of ex vivo and in vivo imaging data and use physiologically relevant parameters to comprehensively describe the data. Since AQuA is data-driven and based on machine learning principles, it can be applied across model organisms, fluorescent indicators, experimental modes, and imaging resolutions and speeds, enabling researchers to elucidate fundamental neural physiology.