Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, New York 10065, USA.
Kavli Neural Systems Institute, The Rockefeller University, New York, New York 10065, USA.
Annu Rev Neurosci. 2018 Jul 8;41:431-452. doi: 10.1146/annurev-neuro-072116-031458. Epub 2018 Apr 25.
The mammalian brain is a densely interconnected network that consists of millions to billions of neurons. Decoding how information is represented and processed by this neural circuitry requires the ability to capture and manipulate the dynamics of large populations at high speed and high resolution over a large area of the brain. Although the use of optical approaches by the neuroscience community has rapidly increased over the past two decades, most microscopy approaches are unable to record the activity of all neurons comprising a functional network across the mammalian brain at relevant temporal and spatial resolutions. In this review, we survey the recent development in optical technologies for Ca imaging in this regard and provide an overview of the strengths and limitations of each modality and its potential for scalability. We provide guidance from the perspective of a biological user driven by the typical biological applications and sample conditions. We also discuss the potential for future advances and synergies that could be obtained through hybrid approaches or other modalities.
哺乳动物的大脑是一个由数百万到数十亿个神经元组成的密集互联网络。要解码这个神经网络如何表示和处理信息,就需要能够高速高分辨率地在大脑的大片区域中捕捉和操纵大群体的动态。尽管在过去的二十年中,神经科学界对光学方法的使用迅速增加,但大多数显微镜方法都无法在相关的时空分辨率下记录构成功能网络的所有神经元的活动。在这篇综述中,我们调查了在这方面用于钙成像的光学技术的最新发展,并概述了每种模式的优缺点及其可扩展性的潜力。我们从受典型生物学应用和样本条件驱动的生物学用户的角度提供指导。我们还讨论了通过混合方法或其他模式获得的未来进展和协同作用的潜力。