Understanding how networks of neurons process information is one of the key challenges in modern neuroscience. A necessary step to achieving this goal is to be able to observe the dynamics of large populations of neurons over a large area of the brain. Light-field microscopy (LFM), which uses a type of scanless microscope, is a particularly attractive candidate for high-speed 3D imaging. It captures volumetric information in a single snapshot, allowing volumetric imaging at video frame rates. Specific features of imaging neuronal activity using LFM call for the development of novel machine learning approaches that fully exploit the priors embedded in physics and optics models.

中文翻译：

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用于神经元活动光学成像的光场显微镜：当基于模型的方法遇到数据驱动的方法时

了解神经元网络如何处理信息是现代神经科学的主要挑战之一。实现这一目标的必要步骤是能够观察大脑大面积上大量神经元的动态。使用一种无​​扫描显微镜的光场显微镜 (LFM) 是高速 3D 成像的特别有吸引力的候选者。它在单个快照中捕获体积信息，允许以视频帧速率进行体积成像。使用 LFM 对神经元活动进行成像的特定特征需要开发新的机器学习方法，以充分利用嵌入物理和光学模型中的先验。