红外与毫米波学报2025，Vol.44Issue(5)：671-679,9.DOI:10.11972/j.issn.1001-9014.2025.05.005
多视场多光子成像技术在神经科学研究中的发展与应用
Development and applications of multi-FOV multi-photon imaging technology in neuroscience research
摘要
Abstract
High spatiotemporal resolution multi-region brain synchronization imaging is a critical requirement in neural circuit research.However,traditional multiphoton microscopy is limited by its single field-of-view(FOV)imaging mode,making it difficult to achieve large-scale observation of neural activity across multiple brain regions.The multi-FOV multi-photon imaging technology employs a FOV segmentation strategy in both the front and rear optical paths of the objective lens and combines multi-dimensional signal analysis methods(such as wavelength encoding,spatial de-multiplexing,and time gating)to effectively overcome the spatiotemporal resolution limitations of traditional tech-niques.This technology enables millisecond-level temporal resolution and micron-level spatial resolution for synchro-nous imaging across brain regions,providing a novel research paradigm for revealing cortical functional coupling,corti-cal-subcortical neural circuit coordination mechanisms,and whole-brain neural signal propagation dynamics.In the fu-ture,through in-depth integration with techniques such as endoscopic imaging,adaptive optical aberration correction,optical stimulation and deep learning-based image analysis,multi-FOV multi-photon imaging will further advance the precise decoding of neural circuit functional architecture and demonstrate significant value in clinical translation fields such as neurodegenerative disease diagnosis and brain-machine interface development.关键词
神经生物学/多光子显微/多视场成像/神经功能解析Key words
neurobiology/multi-photon microscopy/multi-FOV imaging/neural function analysis分类
基础医学引用本文复制引用
王健平,王琳毅,董必勤..多视场多光子成像技术在神经科学研究中的发展与应用[J].红外与毫米波学报,2025,44(5):671-679,9.基金项目
上海基础研究特区计划交叉项目(22TQ020) （22TQ020）
上海市"科技创新行动计划"生物医药科技支撑专项(22S31905500) （22S31905500）
上海市自然科学基金(22ZR1404300) （22ZR1404300）
复旦大学医工结合重点项目(yg2021-032,yg2022-2)Supported by the Shanghai Basic Research Special Zone Program(22TQ020) （yg2021-032,yg2022-2）
the Shanghai Science and Technology Innovation Action Plan(22S31905500) （22S31905500）
the Natural Science Foundation of Shanghai(22ZR1404300) （22ZR1404300）
the Fudan University Medicine-Engineering Integration Key Project(yg2021-032,yg2022-2) （yg2021-032,yg2022-2）
