Gao Huiqin, Pan An, Gao Yuting, Zhang Yu, Wan Quanzhen, Mu Tingkui, Yao Baoli
Opt Express. 2023 Dec 18;31(26):42822-42837. doi: 10.1364/OE.505407.
Fourier ptychographic microscopy (FPM) is a computational optical imaging technique that overcomes the traditional trade-off between resolution and field of view (FOV) by exploiting abundant redundant information in both spatial and frequency domains for high-quality image reconstruction. However, the redundant information in FPM remains ambiguous or abstract, which presents challenges to further enhance imaging capabilities and deepen our understanding of the FPM technique. Inspired by Shannon's information theory and extensive experimental experience in FPM, we defined the specimen complexity and reconstruction algorithm utilization rate and reported a model of redundant information for FPM to predict reconstruction results and guide the optimization of imaging parameters. The model has been validated through extensive simulations and experiments. In addition, it provides a useful tool to evaluate different algorithms, revealing a utilization rate of 24%±1% for the Gauss-Newton algorithm, LED Multiplexing, Wavelength Multiplexing, EPRY-FPM, and GS. In contrast, mPIE exhibits a lower utilization rate of 19%±1%.
傅里叶叠层显微镜（FPM）是一种计算光学成像技术，它通过利用空间和频域中的大量冗余信息进行高质量图像重建，克服了传统分辨率与视场（FOV）之间的权衡。然而，FPM中的冗余信息仍然模糊或抽象，这给进一步提高成像能力和深化我们对FPM技术的理解带来了挑战。受香农信息论和FPM广泛实验经验的启发，我们定义了样本复杂度和重建算法利用率，并报告了一个FPM冗余信息模型，用于预测重建结果和指导成像参数的优化。该模型已通过广泛的模拟和实验得到验证。此外，它提供了一个评估不同算法的有用工具，揭示了高斯-牛顿算法、LED复用、波长复用、EPRY-FPM和GS的利用率为24%±1%。相比之下，mPIE的利用率较低，为19%±1%。
