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20232026
most citedSolving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

3 citations · 5 across the 7 of their papers we have counts for

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q-bio.QM2024★ 3 cited

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

Rui Li, Mikhail Kudryashev, Artur Yakimovich

Optic deconvolution in light microscopy (LM) refers to recovering the object details from images, revealing the ground truth of samples. Traditional explicit methods in LM rely on…

eess.IV2024

Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models

Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley +2

Phase imaging is gaining importance due to its applications in fields like biomedical imaging and material characterization. In biomedical applications, it can provide quantitative…