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头部固定行走果蝇的自动长时双光子成像。

Automated long-term two-photon imaging in head-fixed walking Drosophila.

机构信息

Center of Advanced European Studies and Research (caesar), Bonn, Germany; International Max Planck Research School for Brain and Behavior, Bonn, Germany.

Center of Advanced European Studies and Research (caesar), Bonn, Germany.

出版信息

J Neurosci Methods. 2022 Feb 15;368:109432. doi: 10.1016/j.jneumeth.2021.109432. Epub 2021 Nov 30.

Abstract

BACKGROUND

The brain of Drosophila shows dynamics at multiple timescales, from the millisecond range of fast voltage or calcium transients to functional and structural changes occurring over multiple days. To relate such dynamics to behavior requires monitoring neural circuits across these multiple timescales in behaving animals.

NEW METHOD

Here, we develop a technique for automated long-term two-photon imaging in fruit flies, during wakefulness and extended bouts of immobility, as typically observed during sleep, navigating in virtual reality over up to seven days. The method is enabled by laser surgery, a microrobotic arm for controlling forceps for dissection assistance, an automated feeding robot, as well as volumetric, simultaneous multiplane imaging.

RESULTS

The approach is validated in the fly's head direction system and walking behavior as well a neural activity are recorded. The head direction system tracks the fly's walking direction over multiple days.

COMPARISON WITH EXISTING METHODS

In comparison with previous head-fixed preparations, the time span over which tethered behavior and neural activity can be recorded at the same time is extended from hours to days. Additionally, the reproducibility and ease of dissections are improved compared with manual approaches. Different from previous laser surgery approaches, only continuous wave lasers are required. Lastly, an automated feeding system allows continuously maintaining the fly for several days in the virtual reality setup without user intervention.

CONCLUSIONS

Imaging in behaving flies over multiple timescales will be useful for understanding circadian activity, learning and long-term memory, or sleep.

摘要

背景

果蝇的大脑在多个时间尺度上表现出动态,从毫秒级的快速电压或钙瞬变到多天内发生的功能和结构变化。为了将这种动态与行为相关联,需要在行为动物中监测跨越多个时间尺度的神经回路。

新方法

在这里,我们开发了一种在果蝇中进行自动长时双光子成像的技术,可在清醒状态和长时间的静止期(通常在睡眠期间观察到)以及在虚拟现实中导航长达七天的时间进行成像。该方法得益于激光手术、用于控制解剖辅助镊子的微机器人臂、自动喂食机器人以及体积、同时多平面成像。

结果

该方法在果蝇的头部方向系统和行走行为中得到了验证,并记录了神经活动。头部方向系统可在多天内跟踪果蝇的行走方向。

与现有方法的比较

与以前的头部固定装置相比,该方法可同时记录系绳行为和神经活动的时间跨度从数小时延长到数天。此外,与手动方法相比,可提高可重复性和解剖的便利性。与以前的激光手术方法不同,只需要连续波激光器。最后,自动喂食系统允许在虚拟现实设置中无需用户干预即可连续维持果蝇数天。

结论

在行为果蝇中进行多时间尺度成像将有助于理解昼夜节律活动、学习和长期记忆或睡眠。

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