Recently, Yang Jiamiao's team from the School of Automation and Perception at Shanghai Jiao Tong University, in conjunction with the National Key Laboratory of Dynamic Optical Imaging and Metrology, has achieved a significant breakthrough in the realm of high-precision wavefront sensing that operates over an ultra-large dynamic range. Their research introduces a graph-structured computational framework known as G-SHWS. This innovative approach surmounts the dynamic range constraints typically associated with traditional Shack-Hartmann sensors by employing a global optimization algorithm. Consequently, it facilitates the high-precision reconstruction of wavefronts across an exceptionally broad dynamic range. This technology effectively tackles the challenge of spot matching under conditions of severe occlusion. It preserves high-curvature wavefront measurement capabilities even when faced with a 12.5% loss of spots. Moreover, it achieves a remarkable 14.81-fold enhancement in dynamic range when compared to conventional methods.