Yu Mu

Affiliations: 
2013-2020 Janelia Research Campus / HHMI 
 2020- Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China 
Area:
giving up; neural-glia interaction; whole-brain functional analysis; zebrafish; neuromodulation
Google:
"Yu Mu"
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Cross-listing: danioTree

Parents

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Jiulin Du grad student
Misha B. Ahrens post-doc

Children

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Shan Zhao grad student 2019-2025 ION, CAS
Danyang Li grad student 2020-2025 ION, CAS
Sijia Wang grad student 2020-2025 ION, CAS
Zhiyuan Wang grad student 2021-2025 ION, CAS
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Publications

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Zhou S, Zhu Q, Eom M, et al. (2025) A Sensitive Soma-localized Red Fluorescent Calcium Indicator for Multi-Modality Imaging of Neuronal Populations In Vivo. Biorxiv : the Preprint Server For Biology
Wang K, Chen TL, Zhang XX, et al. (2024) Unveiling tryptophan dynamics and functions across model organisms via quantitative imaging. Bmc Biology. 22: 258
Nanda A, Johnson GW, Mu Y, et al. (2024) Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena. Cell Reports. 43: 114950
Bai L, Cong L, Shi Z, et al. (2024) Volumetric voltage imaging of neuronal populations in the mouse brain by confocal light-field microscopy. Nature Methods
Tao R, Wang K, Chen TL, et al. (2024) Author Correction: A genetically encoded ratiometric indicator for tryptophan. Cell Discovery. 10: 65
Mu Y, Zhao S, Liu J, et al. (2024) Assessment of the Conformation Stability and Glycosylation Heterogeneity of Lactoferrin by Native Mass Spectrometry. Journal of Agricultural and Food Chemistry
Shang CF, Wang YF, Zhao MT, et al. (2024) Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics. Nature Neuroscience
Chai Y, Qi K, Wu Y, et al. (2023) All-optical interrogation of brain-wide activity in freely swimming larval zebrafish. Iscience. 27: 108385
Tao R, Wang K, Chen TL, et al. (2023) A genetically encoded ratiometric indicator for tryptophan. Cell Discovery. 9: 106
Li D, Mu Y. (2023) Neuromodulatory system in network science: Comment on "Structure and function in artificial, zebrafish and human neural networks" by Peng Ji et al. Physics of Life Reviews. 46: 155-157
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