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Score-SIM: Score priors with unpaired learning for flexible structured illumination microscopy image reconstruction

https://doi.org/10.2139/ssrn.7066681
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Outgoing claims: the papers this work cites, builds on, or argues with.

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CHANGE DETECTION OF ORDERS IN STOCK MARKETS USING A GAUSSIAN MIXTURE MODEL†
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Fast Noise Variance Estimation
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Spatial-Adaptive Network for Single Image Denoising
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A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
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An Introduction to Variational Methods for Graphical Models
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Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy
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Strategic and practical guidelines for successful structured illumination microscopy
inferredcites →https://doi.org/10.1038/s41592-018-0216-7openalex-snapshot
Content-aware image restoration: pushing the limits of fluorescence microscopy
inferredcites →https://doi.org/10.1038/s41592-020-01048-5openalex-snapshot
Evaluation and development of deep neural networks for image super-resolution in optical microscopy
inferredcites →https://doi.org/10.1038/s41592-021-01155-xopenalex-snapshot
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes
inferredcites →https://doi.org/10.1038/s41592-024-02400-9openalex-snapshot
Self-inspired learning for denoising live-cell super-resolution microscopy
inferredcites →https://doi.org/10.1046/j.1365-2818.2000.00710.xopenalex-snapshot
Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy
inferredcites →https://doi.org/10.1109/icnn.1994.374138openalex-snapshot
Estimating the mean and variance of the target probability distribution
inferredcites →https://doi.org/10.1109/tip.2021.3049961openalex-snapshot
Digital Image Noise Estimation Using DWT Coefficients
inferredcites →https://doi.org/10.1111/j.1365-2818.1903.tb04831.xopenalex-snapshot
On the Theory of Optical Images, with special reference to the Microscope
inferredcites →https://doi.org/10.1111/jmi.12753openalex-snapshot
Signal, noise and resolution in linear and nonlinear structured‐illumination microscopy
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Gaussian Mixture Model Clustering with Incomplete Data
inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot
On Information and Sufficiency
inferredcites →https://doi.org/10.1364/boe.414680openalex-snapshot
ML-SIM: universal reconstruction of structured illumination microscopy images using transfer learning
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Proposed method for molecular optical imaging
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