Light-field microscopy has emerged as a technique of choice for high-speed volumetric imaging of fast biological processes. However, artefacts, non-uniform resolution, and a slow reconstruction speed have limited its full capabilities for in toto extraction of the dynamic spatiotemporal patterns in samples. Here, we combined a view-channel-depth (VCD) neural network with light-field microscopy to mitigate these limitations, yielding artefact-free three-dimensional image sequences with uniform spatial resolution and three-order-higher video-rate reconstruction throughput. We imaged neuronal activities across moving C. elegans and blood flow in a beating zebrafish heart at single-cell resolution with volume rates up to 200 Hz.

中文翻译：

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通道深度光场显微镜：通过深度学习对生物动力学进行实时体积重建

光场显微镜已经成为快速生物过程的高速体积成像的一种选择技术。但是，伪像，不均匀的分辨率和缓慢的重建速度限制了其全面提取样本中动态时空模式的能力。在这里，我们将视场深度（VCD）神经网络与光场显微镜相结合以减轻这些限制，从而产生具有均匀空间分辨率和三倍高视频速率重建吞吐量的无伪像三维图像序列。我们以单细胞分辨率以高达200 Hz的体积速率成像了跨越运动的秀丽隐杆线虫和跳动的斑马鱼心脏中的血流的神经元活动。