1.Miniature Fluorescence Microscopy for Imaging Brain Activity in Freely-Behaving Animals.
Shiyuan CHEN ; Zichen WANG ; Dong ZHANG ; Aiming WANG ; Liangyi CHEN ; Heping CHENG ; Runlong WU
Neuroscience Bulletin 2020;36(10):1182-1190
An ultimate goal of neuroscience is to decipher the principles underlying neuronal information processing at the molecular, cellular, circuit, and system levels. The advent of miniature fluorescence microscopy has furthered the quest by visualizing brain activities and structural dynamics in animals engaged in self-determined behaviors. In this brief review, we summarize recent advances in miniature fluorescence microscopy for neuroscience, focusing mostly on two mainstream solutions - miniature single-photon microscopy, and miniature two-photon microscopy. We discuss their technical advantages and limitations as well as unmet challenges for future improvement. Examples of preliminary applications are also presented to reflect on a new trend of brain imaging in experimental paradigms involving body movements, long and complex protocols, and even disease progression and aging.
2.MouseVenue3D: A Markerless Three-Dimension Behavioral Tracking System for Matching Two-Photon Brain Imaging in Free-Moving Mice.
Yaning HAN ; Kang HUANG ; Ke CHEN ; Hongli PAN ; Furong JU ; Yueyue LONG ; Gao GAO ; Runlong WU ; Aimin WANG ; Liping WANG ; Pengfei WEI
Neuroscience Bulletin 2022;38(3):303-317
Understanding the connection between brain and behavior in animals requires precise monitoring of their behaviors in three-dimensional (3-D) space. However, there is no available three-dimensional behavior capture system that focuses on rodents. Here, we present MouseVenue3D, an automated and low-cost system for the efficient capture of 3-D skeleton trajectories in markerless rodents. We improved the most time-consuming step in 3-D behavior capturing by developing an automatic calibration module. Then, we validated this process in behavior recognition tasks, and showed that 3-D behavioral data achieved higher accuracy than 2-D data. Subsequently, MouseVenue3D was combined with fast high-resolution miniature two-photon microscopy for synchronous neural recording and behavioral tracking in the freely-moving mouse. Finally, we successfully decoded spontaneous neuronal activity from the 3-D behavior of mice. Our findings reveal that subtle, spontaneous behavior modules are strongly correlated with spontaneous neuronal activity patterns.
Animals
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Behavior, Animal
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Brain/diagnostic imaging*
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Imaging, Three-Dimensional/methods*
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Mice
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Neuroimaging
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Rodentia