Research On Error Correction Algorithm Of Fourier Stack Microscopy Imaging System

Fourier ptychographic microscopy(FPM)is a novel computational imaging technique that provides both wide field of view(FoV)and high-resolution(HR)imaging capacity for biomedical imaging.As the conventional optical microscopic imaging system is always limited by the numerical aperture(NA)of objective lens,field of view and resolution could be an alternative problem in many cases.FPM tackles the problem from another perspective,that is computational optics.Specifically,FPM brings together two innovations,phase retrieval technique and aperture synthesis method,to bypass the limitation of optical systems.Rather than requiring data by mechanical scanning,a programmable LED array substitutes for the original illumination of a microscope to obtain a stack of low-resolution(LR)images of the sample under different illuminating angles.Using the phase retrieval technique,both the HR intensity and the phase information of the object can be resolved with multiple intensity measurements.In this thesis,we have demonstrated several aberrations that caused by the system errors including the drift of light source,defocus aberration,and mean value error of information multiplexing FP.To address these problems,we adopt efficient strategies such as embedded pupil iterative recovery method,simulated annealing light source drift correction method,golden section auto-focusing method and priori knowledge correction for multiplexed FP.All methods are validated by numerical simulations and experiments.This thesis is focusing on practical problems in FPM applications.