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 demultiplexing， and time gating） to effectively overcome the spatiotemporal resolution limitations of traditional techniques. This technology enables millisecond-level temporal resolution and micron-level spatial resolution for synchronous imaging across brain regions， providing a novel research paradigm for revealing cortical functional coupling， cortical-subcortical neural circuit coordination mechanisms， and whole-brain neural signal propagation dynamics. In the future， 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.