Unveiling Fourier Ptychography via Fisher Information

In recent years, Fourier Ptychographic Microscopy (FPM) has been demonstrated for a wide variety of applications including wide field of view pathology and quantitative phase imaging. Briefly, this technique produces a high resolution reconstruction by computationally combining a set of diversely acquired captures of the same sample. However, the nonlinear aspects of the algorithm and the noise in a typical dataset affect the reconstruction quality. The ability to weight differentially each image within an entire FPM capture would allow to device an optimal design of an acquisition platform and to potentially avoid such reconstruction problems.