Multi-angle illumination is a widely adopted strategy in various super-resolution imaging systems, where improving computational efficiency and signal-to-noise ratio (SNR) remains a critical challenge. In this study, we propose the integration of the iterative kernel correction (IKC) algorithm with a multi-angle (MA) illumination scheme to enhance imaging reconstruction efficiency and SNR. The proposed IKC-MA scheme demonstrates the capability to significantly reduce image acquisition time while achieving high-quality reconstruction within 1 s, without relying on extensive experimental datasets. This ensures broad applicability across diverse imaging scenarios. Experimental results indicate substantial improvements in imaging speed and quality compared to conventional methods, with the IKC-MA model achieving a remarkable reduction in data acquisition time. This approach offers a faster and more generalizable solution for super-resolution microscopic imaging, paving the way for advancements in real-time imaging applications.AI Voice