光漂白
双光子激发显微术
噪音(视频)
散粒噪声
钙显像
物理
荧光寿命成像显微镜
帧速率
光子
运动前神经元活动
电压
荧光
光学
材料科学
计算机科学
神经科学
生物
人工智能
钙
探测器
冶金
图像(数学)
量子力学
作者
Jelena Platiša,Xin Ye,Allison M. Ahrens,Chang Liu,Ichun Anderson Chen,Ian G. Davison,Lei Tian,Vincent A. Pieribone,Jerry L. Chen
出处
期刊:Nature Methods
[Springer Nature]
日期:2023-03-27
卷期号:20 (7): 1095-1103
被引量:22
标识
DOI:10.1038/s41592-023-01820-3
摘要
Monitoring spiking activity across large neuronal populations at behaviorally relevant timescales is critical for understanding neural circuit function. Unlike calcium imaging, voltage imaging requires kilohertz sampling rates that reduce fluorescence detection to near shot-noise levels. High-photon flux excitation can overcome photon-limited shot noise, but photobleaching and photodamage restrict the number and duration of simultaneously imaged neurons. We investigated an alternative approach aimed at low two-photon flux, which is voltage imaging below the shot-noise limit. This framework involved developing positive-going voltage indicators with improved spike detection (SpikeyGi and SpikeyGi2); a two-photon microscope ('SMURF') for kilohertz frame rate imaging across a 0.4 mm × 0.4 mm field of view; and a self-supervised denoising algorithm (DeepVID) for inferring fluorescence from shot-noise-limited signals. Through these combined advances, we achieved simultaneous high-speed deep-tissue imaging of more than 100 densely labeled neurons over 1 hour in awake behaving mice. This demonstrates a scalable approach for voltage imaging across increasing neuronal populations.
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