Reconstructing the image scanning microscopy dataset: an inverse problem

DOI10.1088/1361-6420/accdc5zbMath1515.78020arXiv2211.12510OpenAlexW4366284788MaRDI QIDQ6158378

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Publication date: 31 May 2023

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2211.12510

zbMATH Keywords

deconvolutionopticsmicroscopyimage scanning microscopysingle photon detector

Mathematics Subject Classification ID

Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)

Related Items (1)

Reconstructing the image scanning microscopy dataset: an inverse problem

Cites Work

• Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
• Stopping rules for iterative methods in nonnegatively constrained deconvolution
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• Super-resolution in confocal scanning microscopy
• This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms—Theory and Practice
• On Information and Sufficiency
• Predictive risk estimation for the expectation maximization algorithm with Poisson data
• Super-resolution in confocal scanning microscopy: II. The incoherent case
• Reconstructing the image scanning microscopy dataset: an inverse problem

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