论文标题
神经科学功能光学显微镜的数据处理
Data Processing of Functional Optical Microscopy for Neuroscience
论文作者
论文摘要
随着新的光学系统和荧光指标的发展，神经科学中的功能光学成像正在迅速增长。为了实现这些庞大的时空数据集的潜力，将神经元活动与行为和刺激和揭露大脑中的局部电路有关，精确的自动化处理越来越重要。在这篇综述中，我们涵盖了用于神经科学数据功能光学显微镜的完整数据处理管道中的最新计算发展，并讨论了正在进行的和新兴的挑战。
Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and uncovering local circuits in the brain, accurate automated processing is increasingly essential. In this review, we cover recent computational developments in the full data processing pipeline of functional optical microscopy for neuroscience data and discuss ongoing and emerging challenges.
