Department of Neurobiology, Duke University School of Medicine, Durham, NC 27710, USA.
Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Cell Rep Methods. 2023 Apr 24;3(4):100453. doi: 10.1016/j.crmeth.2023.100453.
Visual processing in the retina depends on the collective activity of large ensembles of neurons organized in different layers. Current techniques for measuring activity of layer-specific neural ensembles rely on expensive pulsed infrared lasers to drive 2-photon activation of calcium-dependent fluorescent reporters. We present a 1-photon light-sheet imaging system that can measure the activity in hundreds of neurons in the retina over a large field of view while presenting visual stimuli. This allows for a reliable functional classification of different retinal cell types. We also demonstrate that the system has sufficient resolution to image calcium entry at individual synaptic release sites across the axon terminals of dozens of simultaneously imaged bipolar cells. The simple design, large field of view, and fast image acquisition make this a powerful system for high-throughput and high-resolution measurements of retinal processing at a fraction of the cost of alternative approaches.
视网膜中的视觉处理依赖于不同层次中大量神经元集合的集体活动。目前用于测量特定层神经集合活动的技术依赖于昂贵的脉冲红外激光器来驱动钙依赖性荧光报告器的 2 光子激活。我们提出了一种单光子光片成像系统,该系统可以在呈现视觉刺激的同时测量大视场数百个神经元的活动。这允许对不同视网膜细胞类型进行可靠的功能分类。我们还证明,该系统具有足够的分辨率,可以在数十个同时成像的双极细胞的轴突末梢的单个突触释放位点成像钙内流。简单的设计、大视场和快速图像采集使得该系统成为一种强大的系统,可用于以替代方法的一小部分成本进行高分辨率和高分辨率的视网膜处理测量。