小柯机器人

高速多平面共聚焦显微镜用于密集标记的神经元群体电压成像
2023-08-23 14:10

美国波士顿大学Michael N. Economo课题组开发高速多平面共聚焦显微镜,用于密集标记的神经元群体电压成像。2023年8月21日出版的《自然—神经科学》杂志发表了这项成果。

他们开发了一种成像系统,能够以近kHz的速率进行高效、高对比度的遗传编码电压指示器(GEVIs)成像,并在小鼠新皮层中进行了体内和离体成像应用。他们的方法使用同步多平面成像来监测连续组织体积内的活动,而不影响速度或对高激发功率的要求。这种方法,多Z成像与共聚焦检测(MuZIC),允许高信噪比电压成像密集标记的神经元群体,并通过微光学成像兼容。此外,它最大限度地减少了与全光电生理并发成像和光遗传光刺激相关的伪影。

据了解,GEVI在监测神经元群体活动方面具有巨大的潜力。迄今为止,一流的GEVI依赖于单光子激发。然而,密集神经元群的GEVI成像仍然很困难,因为失焦背景荧光在与传统的单光子宽视场成像方法配对时产生低对比度和多余的噪声。

附:英文原文

Title: High-speed multiplane confocal microscopy for voltage imaging in densely labeled neuronal populations

Author: Weber, Timothy D., Moya, Maria V., Kl, Kvlcm, Mertz, Jerome, Economo, Michael N.

Issue&Volume: 2023-08-21

Abstract: 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.

DOI: 10.1038/s41593-023-01408-2

Source: https://www.nature.com/articles/s41593-023-01408-2

Nature Neuroscience:《自然—神经科学》,创刊于1998年。隶属于施普林格·自然出版集团,最新IF:28.771
官方网址:https://www.nature.com/neuro/
投稿链接:https://mts-nn.nature.com/cgi-bin/main.plex


本期文章:《自然—神经科学》:Online/在线发表

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