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We report a novel generalized optical measurement system and computationalapproach to determine and correct aberrations in optical systems. We developeda computational imaging method capable of reconstructing an optical system'saberration by harnessing Fourier ptychography (FP) with no spatial coherencerequirement. It can then recover the high resolution image latent in theaberrated image via deconvolution. Deconvolution is made robust to noise byusing coded apertures to capture images. We term this method: codedaperture-based correction of aberration obtained from Fourier ptychography(CACAO-FP). It is well-suited for various imaging scenarios with the presenceof aberration where providing a spatially coherent illumination is verychallenging or impossible. We report the demonstration of CACAO-FP with avariety of samples including an in-vivo imaging experiment on the eye of arhesus macaque to correct for its inherent aberration in the rendered retinalimages. CACAO-FP ultimately allows for a poorly designed imaging lens toachieve diffraction-limited performance over a wide field of view by convertingoptical design complexity to computational algorithms in post-processing.

Computational aberration compensation by coded aperture-based correction of aberration obtained from Fourier ptychography (CACAO-FP)