A Camera‐Like Dual‐Defocus Curvature Wavefront Sensor With GPU Acceleration for Real‐Time Quantitative Phase Imaging

Due to the high‐contrast imaging capability for label‐free cells, diverse quantitative phase imaging (QPI) systems have been developed. However, most existing solutions exhibit limitations, including incompatibility with commercial microscopes, bulky/complex architectures, and restricted frame rates caused by computationally intensive phase reconstruction processes, thereby hindering their applicability in dynamic QPI scenarios. To overcome these challenges, we developed a camera‐like curvature wavefront sensor (CWS) that integrates simultaneous dual‐view transport‐of‐intensity phase imaging with parallel computing. The cost‐effective system comprises a prism and dual‐CMOS sensor within a compact size of 55.7 × 58.0 × 49.4 mm 3 compatible with commercial microscopes. Operating at 20 frames per second (fps) with 1024 × 1024‐pixel resolution, it enables real‐time image acquisition, phase retrieval, data storage, and result visualization. Experimental validation confirmed its robust performance in field‐of‐view (FoV) correction, phase recovery accuracy, and computational efficiency. Practical utility was demonstrated through QPI‐based flow cytometry and live‐cell dynamic imaging applications. This plug‐and‐play, imaging system compatible, and cost‐effective CWS platform offers a versatile solution for practical QPI requirements.