Yaksi Emre, Friedrich Rainer W
Max Planck Institute for Medical Research, Department of Biomedical Optics, Jahnstr. 29, 69120 Heidelberg, Germany.
Nat Methods. 2006 May;3(5):377-83. doi: 10.1038/nmeth874.
Methods to record action potential (AP) firing in many individual neurons are essential to unravel the function of complex neuronal circuits in the brain. A promising approach is bolus loading of Ca(2+) indicators combined with multiphoton microscopy. Currently, however, this technique lacks cell-type specificity, has low temporal resolution and cannot resolve complex temporal firing patterns. Here we present simple solutions to these problems. We identified neuron types by colocalizing Ca(2+) signals of a red-fluorescing indicator with genetically encoded markers. We reconstructed firing rate changes from Ca(2+) signals by temporal deconvolution. This technique is efficient, dramatically enhances temporal resolution, facilitates data interpretation and permits analysis of odor-response patterns across thousands of neurons in the zebrafish olfactory bulb. Hence, temporally deconvolved Ca(2+) imaging (TDCa imaging) resolves limitations of current optical recording techniques and is likely to be widely applicable because of its simplicity, robustness and generic principle.
记录许多单个神经元动作电位(AP)发放的方法对于揭示大脑中复杂神经回路的功能至关重要。一种有前景的方法是将Ca(2+)指示剂进行团注加载并结合多光子显微镜技术。然而,目前该技术缺乏细胞类型特异性,时间分辨率低,且无法解析复杂的时间发放模式。在此,我们提出了针对这些问题的简单解决方案。我们通过将红色荧光指示剂的Ca(2+)信号与基因编码标记共定位来识别神经元类型。我们通过时间反卷积从Ca(2+)信号重建发放率变化。该技术效率高,显著提高了时间分辨率,便于数据解释,并允许分析斑马鱼嗅球中数千个神经元的气味反应模式。因此,时间反卷积Ca(2+)成像(TDCa成像)解决了当前光学记录技术的局限性,并且由于其简单性、稳健性和通用原理,可能会得到广泛应用。