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/

Zendy Plus

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

Zendy Tools

Zendy Open

Microscopy is a powerful visualization tool in biology, enabling the study ofcells, tissues, and the fundamental biological processes; yet, the observedimages typically suffer from blur and background noise. In this work, wepropose a unifying framework of algorithms for Gaussian image deblurring anddenoising. These algorithms are based on deep learning techniques for thedesign of learnable regularizers integrated into the Wiener-Kolmogorov filter.Our extensive experimentation line showcases that the proposed approachachieves a superior quality of image reconstruction and surpasses the solutionsthat rely either on deep learning or on optimization schemes alone. Augmentedwith the variance stabilizing transformation, the proposed reconstructionpipeline can also be successfully applied to the problem of Poisson imagedeblurring, surpassing the state-of-the-art methods. Moreover, several variantsof the proposed framework demonstrate competitive performance at lowcomputational complexity, which is of high importance for real-time imagingapplications.

Microscopy Image Restoration with Deep Wiener-Kolmogorov filters