Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Center for Systems Neuroscience, Boston University, Boston, MA, USA.
Nat Neurosci. 2023 Sep;26(9):1642-1650. doi: 10.1038/s41593-023-01408-2. Epub 2023 Aug 21.
Genetically encoded voltage indicators (GEVIs) hold immense potential for monitoring neuronal population activity. To date, best-in-class GEVIs rely on one-photon excitation. However, GEVI imaging of dense neuronal populations remains difficult because out-of-focus background fluorescence produces low contrast and excess noise when paired with conventional one-photon widefield imaging methods. To address this challenge, we developed an imaging system capable of efficient, high-contrast GEVI imaging at near-kHz rates and demonstrate it for in vivo and ex vivo imaging applications in the mouse neocortex. Our approach uses simultaneous multiplane imaging to monitor activity within contiguous tissue volumes with no penalty in speed or requirement for high excitation power. This approach, multi-Z imaging with confocal detection (MuZIC), permits high signal-to-noise ratio voltage imaging in densely labeled neuronal populations and is compatible with imaging through micro-optics. Moreover, it minimizes artifacts associated with concurrent imaging and optogenetic photostimulation for all-optical electrophysiology.
基因编码的电压指示剂 (GEVI) 在监测神经元群体活动方面具有巨大的潜力。迄今为止,最好的 GEVIs 依赖于单光子激发。然而,由于离焦背景荧光在与传统的单光子宽场成像方法结合使用时会产生低对比度和过多的噪声,因此密集神经元群体的 GEVI 成像仍然很困难。为了解决这一挑战,我们开发了一种成像系统,能够以近千赫兹的速率进行高效、高对比度的 GEVI 成像,并在小鼠新皮层的体内和离体成像应用中进行了演示。我们的方法使用同时多层面成像来监测连续组织体积内的活动,在速度或高激发功率要求方面没有任何损失。这种方法,即共聚焦检测的多 Z 成像 (MuZIC),允许在高密度标记的神经元群体中进行高信噪比电压成像,并且与通过微光学成像兼容。此外,它最大限度地减少了与全光学电生理学中的并发成像和光遗传学光刺激相关的伪影。