Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, New York, USA.
Research Institute of Molecular Pathology, Vienna, Austria.
Nat Methods. 2017 Aug;14(8):811-818. doi: 10.1038/nmeth.4341. Epub 2017 Jun 26.
Light-field microscopy (LFM) is a scalable approach for volumetric Ca imaging with high volumetric acquisition rates (up to 100 Hz). Although the technology has enabled whole-brain Ca imaging in semi-transparent specimens, tissue scattering has limited its application in the rodent brain. We introduce seeded iterative demixing (SID), a computational source-extraction technique that extends LFM to the mammalian cortex. SID can capture neuronal dynamics in vivo within a volume of 900 × 900 × 260 μm located as deep as 380 μm in the mouse cortex or hippocampus at a 30-Hz volume rate while discriminating signals from neurons as close as 20 μm apart, at a computational cost three orders of magnitude less than that of frame-by-frame image reconstruction. We expect that the simplicity and scalability of LFM, coupled with the performance of SID, will open up a range of applications including closed-loop experiments.
光场显微镜（LFM）是一种可扩展的方法，可用于以高体积采集率（高达 100 Hz）进行体积钙成像。尽管该技术已经实现了半透明标本的全脑 Ca 成像，但组织散射限制了其在啮齿动物大脑中的应用。我们引入了种子迭代去混合（SID），这是一种计算源提取技术，可将 LFM 扩展到哺乳动物皮层。SID 可以在 30 Hz 的体积速率下捕获位于小鼠皮层或海马体中深达 380 μm 的 900×900×260 μm 体积内的体内神经元动力学，同时区分距离最近的 20 μm 的神经元信号，计算成本比逐帧图像重建低三个数量级。我们预计，LFM 的简单性和可扩展性，加上 SID 的性能，将开辟一系列应用，包括闭环实验。
