English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Fourier ptychographic microscopy (FPM) is a novel computational coherentimaging technique for high space-bandwidth product imaging. Mathematically,Fourier ptychographic (FP) reconstruction can be implemented as a phaseretrieval optimization process, in which we only obtain low resolutionintensity images corresponding to the sub-bands of the sample's high resolution(HR) spatial spectrum, and aim to retrieve the complex HR spectrum. In realsetups, the measurements always suffer from various degenerations such asGaussian noise, Poisson noise, speckle noise and pupil location error, whichwould largely degrade the reconstruction. To efficiently address thesedegenerations, we propose a novel FP reconstruction method under a gradientdescent optimization framework in this paper. The technique utilizes Poissonmaximum likelihood for better signal modeling, and truncated Wirtinger gradientfor error removal. Results on both simulated data and real data captured usingour laser FPM setup show that the proposed method outperforms otherstate-of-the-art algorithms. Also, we have released our source code fornon-commercial use.

Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient