High spatiotemporal resolution multi-region brain synchronization imaging is a critical requirement in neural circuit research. However, traditional multi-photon 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, through a field-of-view segmentation strategy in both the front and rear optical paths of the objective lens, combined with multi-dimensional signal analysis methods such as wavelength encoding, spatial demultiplexing, and time gating, effectively overcomes 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-field-of-view 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.